EDA & Semiconductor IP

Everyone knows NVIDIA. But few people know that before any GPU or custom chip can be made, it first has to be "designed" with specialized software called EDA — and is usually assembled from "off-the-shelf blocks" called IP, like Arm's processor cores. This node is the deepest layer of all, the "shovels and picks of the people selling shovels" — and they're selling like never before, because every company is now rushing to design its own AI chip. The game-changer: it's started using AI to design the chips itself.

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Why is EDA & Semiconductor IP moving?

Latest
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Synopsys-AWS $1B+ IP deal and Arm's $2B AGI pipeline drive EDA/IP demand

  • Synopsys signs $1B+ multi-year custom silicon IP deal with AWS Synopsys will license application-optimized IP blueprints to Amazon for its in-house Graviton and Trainium chips, with AWS as lead customer. The deal expands Synopsys beyond standard IP into custom designs and adds a license-plus-royalty model, directly lifting the EDA/IP theme.

    This is the largest new IP licensing deal this period and shows custom silicon demand flowing to EDA/IP vendors.

  • Nvidia uses own Vera CPU to speed EDA workflows; AMD adopts agentic AI Nvidia's Vera CPU is now used in EDA workflows on Cadence and Synopsys tools, showing up to 1.5x faster verification. AMD is evaluating Synopsys and Microsoft agentic AI for its own design. This broadens EDA demand beyond traditional tool vendors.

    It shows major chipmakers adopting AI-accelerated EDA, expanding the addressable market for design tools.

  • Marvell begins custom AI chip shipments to Google; DeepSeek-Huawei tools Marvell started shipping custom CXL chips to Google and plans to raise AI revenue outlook, deepening hyperscaler custom silicon. Separately, DeepSeek partnered with Huawei to build open-source programming tools for Ascend chips, reducing reliance on Nvidia. Custom programs need EDA tools but can reduce standard IP demand.

    It captures the double-edged force of custom silicon and China's push for domestic alternatives on the EDA/IP theme.

Q3 2026
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AI Demand Lifts EDA & IP, But China and Custom Silicon Pose Risks

  • AI Demand Drives Record Results AI demand pushed TSMC, Synopsys, Cadence, Arm, and ASML to record quarterly results, with agentic AI design tools promising major productivity gains. Arm's IP demand broadened beyond mobile, and Intel hit a High-NA EUV milestone.

    This is the main positive force behind the sector's strong performance in Q3.

  • China Policy and AWS Deal Boost Growth Beijing's AI4Chip policy expanded China's EDA market, and Synopsys signed a $1B+ deal with AWS, reinforcing growth prospects. These developments broaden the customer base and revenue opportunities for EDA and IP providers.

    These are new positive catalysts that support sector expansion.

  • China DUV Progress and Export Restrictions Cloud Outlook China's progress on DUV lithography and ongoing export restrictions create uncertainty for EDA and IP companies, potentially limiting access to the Chinese market and affecting long-term growth.

    This is a key risk factor that could negatively impact the sector.

  • Custom Silicon and Margin Worries Pressure Stocks Custom silicon programs like Marvell-Google and Nvidia-MediaTek may reduce reliance on standard IP and EDA flows. Arm's in-house chip plans risk conflicts with licensees, and margin and valuation worries triggered sell-offs.

    These factors represent emerging threats to the traditional EDA and IP business model.

News & notes moving EDA & Semiconductor IP
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EDA & Semiconductor IPimpact 4

Arm's Data-Center Chip Push Tests Its Licensing Moat

Arm Holdings is moving beyond designing processors for others by selling its own data-center CPU, a shift that could capture more revenue per system but changes its relationship with the customers that license its technology. In its fiscal 2027 first-quarter results released July 29, Arm reported $1.29 billion of revenue, with royalties of $715 million, up 22%, and licensing and other revenue of $574 million, up 23%, while data-center royalty revenue more than doubled. Arm said its AGI CPU had been delivered to initial customers and that it had secured capacity for a $1 billion revenue opportunity across fiscal 2027 and fiscal 2028, with management describing demand exceeding $2 billion over those two years, a figure it characterized as demand commentary rather than recognized revenue or a guaranteed order book. At a September 30 market-data snapshot, Arm traded at roughly 59 times enterprise value to trailing revenue and about 205 times trailing free cash flow, and the company had 15,521,694 shares sold short at the September 15 settlement with 3.9 days to cover. The bull case rests on Arm earning royalties from customers' processors while using its own product to accelerate adoption of its architecture, while the bear case is a gradual erosion of neutrality as customers grow reluctant to share roadmaps with a supplier competing for the same server budget.
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Artificial Intelligence › EDA & Semiconductor IP Competition
Semiconductors › Logic, Compute & Connectivity Processors Competition
Artificial Intelligence › AI Compute & Accelerator Silicon Competition
ARM · Capital · Positive Arm reported fiscal Q1 revenue of $1.29B with royalties up 22% and licensing up 23%, plus a $1B capacity-secured revenue opportunity.
ARM · Competition · Neutral Arm's move to sell its own data-center CPU could capture more revenue per system but risks eroding its licensing neutrality with customers who compete for the same server budget.
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EDA & Semiconductor IP▲impact 4

Amazon Signs $1 Billion Synopsys Chip Deal and 20-Year Nuclear Power Agreement

Amazon.com announced a multi-year agreement worth over US$1.00 billion with Synopsys to bolster its custom chip design for AI and cloud computing, and separately signed a 20-year nuclear power deal with Constellation to secure 690 megawatts of electricity from Maryland's Calvert Cliffs plant. The two moves pair in-house silicon development with long-term, low-carbon power access, reinforcing the infrastructure backbone behind Amazon's expanding AI and cloud services. The chip deal and the nuclear agreement look material for AWS's near-term capacity buildout, though the immediate stock catalyst still centers on how quickly those AI investments flow through to earnings against the risk that AWS capital intensity and competition compress segment margins. The developments come as Amazon commits over US$220 billion of annual spending into AI and cloud infrastructure, alongside a proposed US$309.5 million settlement of the Amazon Return Policy class action. Amazon's narrative projects $1152.4 billion revenue and $158.3 billion earnings by 2029, with a $327.00 fair value implying 32% upside to its current price.
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Artificial Intelligence › Custom Silicon / ASIC ▲Supply
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Supply
Cloud & Digital Infrastructure › Hyperscale Cloud (IaaS / PaaS) ▲Supply
Artificial Intelligence › EDA & Semiconductor IP ▲Supply
AMZN · Supply · Positive Amazon signed a 20-year nuclear power deal with Constellation securing 690MW for its AI/cloud infrastructure
AMZN · Technology · Positive Amazon's over $1B multi-year deal with Synopsys bolsters its custom AI/cloud chip design
CEG · Demand · Positive Constellation signed a 20-year nuclear power agreement with Amazon for 690MW from Calvert Cliffs
SNPS · Demand · Positive Synopsys won a multi-year agreement worth over $1B from Amazon for custom chip design
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EDA & Semiconductor IP▲3impact 4

Synopsys Lands Billion-Dollar Amazon and OpenAI Deals, Lifts FY27 Outlook

Synopsys unveiled a $1 billion multi-year deal with Amazon and a multi-year agreement with OpenAI, sending its shares up 12.78 percent on Thursday to close at $490.54 apiece. The Amazon agreement expands Synopsys' silicon IP business, with Amazon as its lead customer, and the two will also collaborate on applying AI across silicon-to-system engineering workflows. The OpenAI deal covers development and delivery of the GPT-Synopsys model for chip design, combining OpenAI's frontier AI with Synopsys' EDA tools, under a revenue-sharing arrangement and go-to-market collaboration. The deals bolstered Synopsys' revenue growth outlook for fiscal year 2027, with the company targeting revenues between $11 billion and $11.2 billion, an implied increase of 13 percent to 15 percent from the $9.715 billion midpoint target for full fiscal year 2026, and non-GAAP earnings per share of $19.04 to $19.12 versus $15.07 guidance for the year earlier. Analysts raised price targets after the news, including Deutsche Bank to $640 from $590, Rosenblatt to $620 from $570, KeyBanc to $605 from $600, and Bank of America to $600 from $500.
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Semiconductors › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › EDA & Semiconductor IP ▲Demand
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Artificial Intelligence › AI Compute & Accelerator Silicon ▲Demand
Artificial Intelligence › Custom Silicon / ASIC ▲Demand
SNPS · Capital · Positive The deals lifted Synopsys' FY27 revenue and EPS outlook, and analysts including Deutsche Bank, Rosenblatt, KeyBanc and BofA raised price targets.
SNPS · Demand · Positive Synopsys unveiled a $1 billion multi-year Amazon deal and a multi-year OpenAI agreement, concrete customer orders expanding its silicon IP and EDA business.
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EDA & Semiconductor IP▲5impact 4

Synopsys Unveils OpenAI and Amazon Deals at Investor Day

Synopsys announced partnerships with OpenAI and Amazon at its investor day, positioning the chip designer as a major player in the AI boom. CEO Sassine Ghazi said the OpenAI partnership combines frontier intelligence and reasoning with Synopsys's domain-specific tools to help chip designers achieve better performance, power, and reliability faster. On the Amazon side, Ghazi said the company committed a billion dollars for next-generation chips to use Synopsys's new application optimized IP, a new business category aimed at the custom silicon market. Amazon is the lead customer for that emerging business, but Ghazi said Synopsys signed a number of other contracts as well, without naming them. He noted that companies like Amazon, Google, Microsoft, and Meta are all building their own chips, driving demand for Synopsys software and interface IP that connects chips to each other and to systems.
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Semiconductors › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › EDA & Semiconductor IP ▲Demand
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Artificial Intelligence › Custom Silicon / ASIC ▲Demand
SNPS · Demand · Positive Synopsys unveiled OpenAI and Amazon partnerships and signed multiple other contracts, driving demand for its software and interface IP.
AMZN · Demand · Positive Amazon committed $1 billion for next-generation chips using Synopsys's new application-optimized IP, making it lead customer for the emerging custom-silicon business.
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EDA & Semiconductor IP▲

Synopsys Earns Zacks Rank #2 as Earnings Estimates Point Higher

Synopsys has been rated Zacks Rank #2 (Buy), with the consensus estimate for the current quarter standing at $4.10 per share, a year-over-year change of +41.4%, though that figure has moved -1.9% over the last 30 days. For the current fiscal year, the consensus earnings estimate of $15.13 indicates a year-over-year change of +17.2% and has changed -0.5% over the last 30 days, while the next fiscal year's estimate of $17.43 points to a change of +15.2% and has edged up +0.1% over the past month. On the revenue side, the consensus sales estimate of $2.56 billion for the current quarter points to a year-over-year change of +13.5%, with estimates of $9.72 billion and $10.74 billion for the current and next fiscal years indicating changes of +37.8% and +10.5%, respectively. In its last reported quarter, Synopsys posted revenues of $2.48 billion, up +42.4% year over year, and EPS of $3.91 versus $3.39 a year earlier, beating the Zacks Consensus Estimate of $2.44 billion by +1.68% on revenue and by +6.54% on EPS, and the company has topped consensus EPS and revenue estimates in each of the trailing four quarters. Synopsys is graded D on the Zacks Value Style Score, indicating it trades at a premium to its peers.
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Semiconductors › EDA & Semiconductor IP ▲Capital
Artificial Intelligence › EDA & Semiconductor IP ▲Capital
SNPS · Capital · Positive Synopsys earns Zacks Rank #2 (Buy) with consensus earnings and revenue estimates pointing to strong year-over-year growth.
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EDA & Semiconductor IP8impact 4

DeepSeek Partners With Huawei on Ascend Chip Programming Tools

DeepSeek said on Wednesday it has partnered with Huawei Technologies to develop programming tools for the latter's Ascend chips, amid a growing push among Chinese tech firms to seek alternatives to Nvidia. In a post on its WeChat account, DeepSeek said it was developing and open-sourcing a programming backbone for Huawei's Ascend line of chips, with Huawei providing full support in developing the programming infrastructure. The two companies had also advanced a supernode program based on 128 Ascend 950 chips. The announcement comes just weeks after Huawei announced a new line of Ascend AI chips for use in computing superclusters and data centers, with the company saying it expects its AI chips to be widely used for model training by 2027. DeepSeek, regarded as one of China's premier AI frontier labs, uses a combination of hardware from Nvidia and Huawei, and its V4-Flash AI model was optimized for use with Huawei chips, especially as China largely blocked domestic sales of Nvidia chips.
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Artificial Intelligence › Custom Silicon / ASIC ▲Technology
Artificial Intelligence › Closed / Frontier Labs Technology
Artificial Intelligence › EDA & Semiconductor IP Technology
DeepSeek · Technology · Positive DeepSeek is developing and open-sourcing a programming backbone for Huawei's Ascend chips, advancing its own AI stack.
Huawei · Technology · Positive Huawei gains DeepSeek's partnership to build Ascend programming infrastructure and a 128-chip Ascend 950 supernode.
NVDA · Competition · Negative DeepSeek-Huawei Ascend programming tools push Chinese firms toward alternatives to Nvidia, threatening Nvidia's China position.
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EDA & Semiconductor IP▲

TSMC Expands Synopsys Design Partnership for A14 Process as Shares Slip

Taiwan Semiconductor Manufacturing expanded its chip design partnership with Synopsys, strengthening the tools customers can use to design chips for TSMC's upcoming A14 process. The September 23 announcement covers AI-assisted design, automated chiplet layouts, power analysis for advanced packaging and verification for co-packaged optics, and Synopsys also reported progress on interfaces for HBM4, PCIe 7.0 and Ethernet. TSMC has scheduled A14 volume production for 2028. The U.S.-listed shares fell about 0.9% to $446.57 at 11.48am ET on September 28, a level 22.79% above the $363.69 GF Value. Better design tools could help customers get chips ready sooner, but they do not guarantee orders, and investors still need to see customer designs reach production, strong yields and fabs running at capacity.
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Artificial Intelligence › EDA & Semiconductor IP ▲Technology
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Semiconductors › Foundry & Contract Fabrication Technology
2330.TW · Technology · Positive TSMC expanded its design partnership with Synopsys, strengthening tools customers can use for its upcoming A14 process.
SNPS · Technology · Positive Synopsys expanded its chip design partnership with TSMC for the A14 process, covering AI-assisted design, chiplet layouts, power analysis and verification.
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EDA & Semiconductor IPimpact 4

Marvell Begins Custom AI Chip Shipments to Google, Plans Higher AI Revenue Outlook

Marvell Technology has begun shipping custom Compute Express Link chips to Alphabet's Google and plans to lift its AI revenue outlook after deepening its custom silicon partnership with the company. Management expects large-scale custom AI inference silicon programs with Google to ramp through 2028, pointing to a multi-year engagement. The expanded Google engagement reinforces Marvell's bet on hyperscaler design wins and multi-year programs, and ties into its expanded SiGe and IC substrate agreements aimed at securing the manufacturing headroom those contracts require. The unresolved piece is concentration risk, as a bigger Google pipeline leans harder into dependence on a few large, lumpy projects and tight supply chains compared with more diversified rivals such as Broadcom or Intel.
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Artificial Intelligence › Custom Silicon / ASIC ▲Demand
Semiconductors › Logic, Compute & Connectivity Processors ▲Demand
Semiconductors › Advanced Packaging & Test (OSAT) ▲Demand
Artificial Intelligence › EDA & Semiconductor IP Demand
MRVL · Demand · Positive Marvell began shipping custom CXL chips to Google and expects to lift its AI revenue outlook on the deepened partnership.
MRVL · Supply · Negative Article flags concentration risk and tight supply chains from leaning harder on a few large, lumpy Google projects.
GOOG · Demand · Positive Google is receiving Marvell's custom CXL AI inference chips and deepening a multi-year custom silicon partnership.
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EDA & Semiconductor IP

Arm Shares Fall 7.6% as It Outlines Role in Nvidia Agent Security Platform

Arm Holdings outlined its role in Nvidia's new agent security platform as its shares fell 7.6% to $286.79 around 9:57 a.m. ET Monday. Nvidia's OpenShell can run on Arm's Vera CPU, and the approach can extend to platforms such as AWS Graviton, Google Axion and Microsoft Cobalt. Arm based infrastructure processors can also monitor an agent's activity and enforce security rules separately from the processor running it, putting Arm technology on both sides of the setup. The announcement described a possible route to more chip demand rather than a new customer order, and the valuation leaves little room for a story that stays theoretical, with a GF Value of $194.76 putting Monday's $286.79 share price 47.25% above that estimate. More agent deployments could mean more Arm powered processors, but investors still need evidence that those deployments are turning into licensing and royalty growth.
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Artificial Intelligence › EDA & Semiconductor IP Technology
Cybersecurity & Digital Trust › AI Security & Agent Guardrails Technology
Semiconductors › Logic, Compute & Connectivity Processors Demand
Artificial Intelligence › Agentic AI & Autonomous Workflows Technology
Semiconductors › EDA & Semiconductor IP Technology
ARM · Technology · Neutral Arm outlined its role in Nvidia's OpenShell agent security platform, a possible route to more chip demand but no new customer order or licensing/royalty evidence.
NVDA · Technology · Neutral Nvidia's OpenShell agent security platform is the subject, but the article focuses on Arm's role and gives no Nvidia-specific financial or demand impact.
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EDA & Semiconductor IP▲3

Nvidia releases safety tools to prevent AI agents from going rogue

Nvidia on the 28th released a suite of safety software for artificial intelligence agents. One of the tools, OpenShell, uses hardware features in Nvidia-made CPUs to keep agents confined within isolated environments, and the company is working with Arm Holdings and Intel to make it run on their CPUs as well. Another system, Sentry, combines a different Nvidia semiconductor with OpenShell to block out-of-control agents from trying to escape containers on the CPU. Justin Boitano, who heads enterprise computing, said the tools could have prevented the attack on Hugging Face made public this summer, and that the company will roll them out with dozens of partners, including Anthropic. Hugging Face was hit by an attack from a swarm of rogue OpenAI agents, and a few months later Nvidia acquired it for 13 billion dollars.
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Cybersecurity & Digital Trust › AI Security & Agent Guardrails ▲Technology
Artificial Intelligence › Agentic AI & Autonomous Workflows ▲Technology
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Technology
Semiconductors › Logic, Compute & Connectivity Processors Technology
Artificial Intelligence › EDA & Semiconductor IP ▲Technology
NVDA · Technology · Positive Nvidia released a suite of AI agent safety software (OpenShell, Sentry) using its own CPUs and semiconductors.
ARM · Technology · Positive Nvidia is working with Arm to make its OpenShell safety software run on Arm CPUs, a product/tech collaboration.
INTC · Technology · Positive Nvidia is working with Intel to make its OpenShell safety software run on Intel CPUs, a product/tech collaboration.
OpenAI · Technology · Negative Nvidia says its tools could have prevented the Hugging Face attack carried out by a swarm of rogue OpenAI agents.
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EDA & Semiconductor IP▲2

BNP Paribas Upgrades Synopsys to Neutral With $420 Price Target

BNP Paribas analyst Andrew DeGasperi upgraded Synopsys to Neutral from Underperform with a $420 price target, citing easing headwinds and more limited downside risk. The company's Design IP business returned to year-over-year growth in the third quarter of fiscal 2026, and Synopsys posted third-quarter revenue of $2.477 billion, up from $1.740 billion a year earlier, prompting management to raise its fiscal 2026 revenue outlook to approximately $9.715 billion at the midpoint. Management expects approximately $2.98 billion of Ansys revenue in fiscal 2026 and has targeted $400 million of cumulative annual synergies by the fourth year following the acquisition. Synopsys has been expanding agentic AI capabilities, including autonomous workflows developed with partners such as Microsoft and Advanced Micro Devices, with early evaluations reportedly cutting design cycle times by approximately 25% to 40%. Hedge fund positioning was relatively stable, with 85 funds holding stakes in the second quarter versus 84 in the first, while short interest rose to approximately 5.71 million shares as of August 31 from 4.36 million as of July 31, or about 2.98% of shares outstanding.
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Artificial Intelligence › EDA & Semiconductor IP ▲Demand
Semiconductors › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › AI Applications & Copilots Technology
SNPS · Capital · Positive BNP Paribas upgraded Synopsys to Neutral from Underperform with a $420 price target, citing easing headwinds and limited downside risk.
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EDA & Semiconductor IP▲

HSBC Upgrades Synopsys to Buy, Sets Street-High $700 Target

HSBC upgraded Synopsys to Buy from Hold and raised its price target to a Street-high $700 from $490, sending the chip design software company's shares up 1.81% intraday as of 10:20 a.m. ET. The new target implies over 60% upside from current levels and is based on 35 times HSBC's fiscal 2027 earnings-per-share estimate of $20.01, rolled forward from 33 times fiscal 2026. That estimate sits 13% above consensus and is the highest on Wall Street, according to the firm. HSBC expects Synopsys' shift toward a royalties-based business model to drive earnings growth, and sees agentic AI lifting demand for electronic design automation tools. The call follows a strong fiscal third quarter in which Synopsys earned $3.91 a share on a non-GAAP basis on revenue of $2.48 billion, beating estimates of $3.67 and $2.44 billion, and raised its full-year outlook.
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EDA & Semiconductor IP▲

Synopsys Raises Fiscal 2026 Outlook After Q3 Earnings Beat

Synopsys reported third-quarter fiscal 2026 non-GAAP earnings of $3.91 per share, up 15.3% year over year and ahead of the Zacks Consensus Estimate by 6.5%, while revenues rose 42.4% to $2.48 billion. The company raised its fiscal 2026 revenue guidance to $9.69-$9.74 billion, with the midpoint up $50 million, and lifted its fiscal 2026 non-GAAP earnings guidance to $15.04-$15.10 per share, a 31-cent increase at the midpoint. Ansys contributed approximately $711 million to total quarterly revenues and is now expected to contribute about $2.98 billion for the full fiscal year, up $20 million from the previous outlook. Backlog stood at $10.9 billion, and the non-GAAP operating margin was 41.6%, with fiscal 2026 non-GAAP operating margin now projected at about 41.5% at the midpoint, up 50 basis points. For the fourth quarter, Synopsys projects revenues of $2.53-$2.58 billion and non-GAAP earnings of $4.10-$4.16 per share, with management expecting EDA revenue growth to accelerate to double digits.
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Semiconductors › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › EDA & Semiconductor IP ▲Demand
SNPS · Capital · Positive Synopsys beat Q3 estimates, raised fiscal 2026 revenue and EPS guidance, and lifted its operating margin outlook.
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EDA & Semiconductor IP▲2

Cadence Design Systems Launches RTL Generation Agent for AI Chip Design

Cadence Design Systems introduced its RTL Generation Agent, extending the ChipStack AI Super Agent platform for chip design automation. The new agent automates front-end digital design and verification, turning natural language prompts into optimized RTL code for power, performance, and area. Early evaluations, including work with Honda on advanced automotive projects, report strong productivity and efficiency gains from the AI-assisted workflows. The launch pushes Cadence's agentic AI thesis further into front-end design, expanding ChipStack from checking designs to writing and refining them, and connects to earlier moves such as the GUC AI accelerator work and the InnoStack alliance with Rapidus. Cadence's AI-driven design and verification tools, including the Cadence Cerebrus AI solution and SimAI, are expected to drive future revenue growth as adoption increases.
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Semiconductors › EDA & Semiconductor IP ▲Technology
Artificial Intelligence › EDA & Semiconductor IP ▲Technology
CDNS · Technology · Positive Cadence launched its RTL Generation Agent, extending the ChipStack AI Super Agent platform to automate front-end digital design and verification.
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TaiwanNetherlandsUnited StatesChinaJapanSouth Korea
EDA & Semiconductor IPimpact 4

TSMC and ASML Launch 12-Inch EUV Photomask Initiative Targeting 2031 Pilot Line

Taiwan Semiconductor Manufacturing Company and ASML Holding announced a collaborative industry initiative on September 8 to transition the semiconductor sector to a 12-inch Extreme Ultraviolet photomask format, replacing the 6-inch masks chipmakers currently use for High NA EUV systems. The shift aims to boost scanner productivity, eliminate stitching constraints on ultra-large chips, and lower long-term advanced node manufacturing costs, with the initiative targeting a pilot line by 2031 and 12-inch High-NA production by 2033. TSMC plans to adopt High-NA EUV starting in 2030, with the 12-inch masks providing a multi-year roadmap for scaling complex AI architectures. For ASML, establishing a 12-inch standard locks in the long-term economic case for its High-NA scanner line, supporting its 15% revenue expansion outlook, while for TSMC the larger format helps defend its leading-edge and AI/HPC manufacturing dominance. The decade-long roadmap carries execution risk, as the entire global supply chain, from mask blanks and inspection equipment to automated handling, must retool from scratch, and TSMC faces near-term gross margin dilution from its N2 ramp and overseas fab expansions while ASML contends with gross margin pressure in late 2025 and geopolitical growth uncertainties through 2026.
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Semiconductors › Wafer-Fab Equipment & Lithography Technology
Semiconductors › Materials & Specialty Chemicals Technology
Artificial Intelligence › EDA & Semiconductor IP Technology
Artificial Intelligence › HBM & AI Memory ▲Technology
2330.TW · Technology · Positive TSMC and ASML launch a 12-inch EUV photomask initiative to boost scanner productivity and defend TSMC's leading-edge AI/HPC manufacturing dominance.
2330.TW · Capital · Negative TSMC faces near-term gross margin dilution from its N2 ramp and overseas fab expansions.
ASML.AS · Technology · Positive Establishing a 12-inch standard locks in the long-term economic case for ASML's High-NA scanner line, supporting its 15% revenue expansion outlook.
ASML.AS · Capital · Negative ASML contends with gross margin pressure in late 2025 and geopolitical growth uncertainties through 2026.
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EDA & Semiconductor IP▲2

Synopsys and TSMC Expand AI Chip Design Partnership Across A14, Agentic AI and Advanced Packaging

Synopsys announced new collaborations with TSMC spanning A14 design enablement, AI-assisted engineering workflows, CoWoS support for multi-die designs, and unified multiphysics signoff. The companies said Synopsys has achieved A14 certification across digital and analog flows and enabled agentic AI capabilities, giving customers a methodology spanning implementation through signoff to accelerate design convergence on TSMC A14 technology. In analog design, Synopsys is collaborating with TSMC on device routing enablement on A14, a key milestone for advanced analog place-and-route automation. Synopsys said its 3DIC Compiler platform now enables designers to co-design and simulate integrated voltage regulators on TSMC CoWoS technology in a unified environment, and that it continues to work with TSMC on co-packaged optics design on TSMC COUPE technology. On TSMC's N2P process, Synopsys achieved key IP enablement and tape-out milestones for AI and HPC designs including PCIe 7.0, HBM4, LPDDR6/5X/5, 224G Ethernet PHY, UCIe, OTP, and advanced SLM process, voltage, and temperature monitoring IP, and recently completed 64G UCIe IP tape-outs on both 2nm and 3nm process nodes.
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Semiconductors › EDA & Semiconductor IP ▲Technology
Semiconductors › Foundry & Contract Fabrication ▲Technology
Artificial Intelligence › EDA & Semiconductor IP ▲Technology
Artificial Intelligence › Foundry & Advanced Packaging ▲Technology
Semiconductors › Advanced Packaging & Test (OSAT) ▲Technology
Artificial Intelligence › AI Compute & Accelerator Silicon Technology
Artificial Intelligence › HBM & AI Memory ▲Technology
Artificial Intelligence › AI Networking & Interconnect ▲Technology
SNPS · Technology · Positive Synopsys announced expanded TSMC collaborations spanning A14 certification, agentic AI workflows, CoWoS 3DIC support, and N2P IP tape-out milestones.
2330.TW · Technology · Positive TSMC's A14, N2P, CoWoS, and COUPE technologies gain design-enablement and IP ecosystem support from Synopsys.
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EDA & Semiconductor IP7impact 4

SoftBank Raises $11 Billion in Bonds to Fund OpenAI Stake

SoftBank launched more than $11 billion of dollar and euro bonds on September 21 as it prepared for another $10 billion OpenAI installment. The financing sits alongside a broader credit line backed by Arm Holdings, which can reach about $25 billion against Arm shares, giving SoftBank liquidity without surrendering control of the chip designer. SoftBank also sold its entire roughly $5.8 billion stake in Nvidia in 2025, a move the article frames as a financing choice rather than a verdict on GPUs. Hedge fund positioning has shifted toward Arm, with 52 funds reporting longs in the second quarter of 2026 versus 46 in the prior quarter, while 285 funds held Nvidia, up from 275. The result is a hierarchy inside Masayoshi Son's AI portfolio: OpenAI is the cash sink he wants to fund, Arm is the strategic asset he wants to retain, and Nvidia was liquid enough to sell.
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Artificial Intelligence › Closed / Frontier Labs ▲Capital
Artificial Intelligence › EDA & Semiconductor IP Capital
Artificial Intelligence › AI Compute & Accelerator Silicon Capital
Semiconductors › EDA & Semiconductor IP Capital
9984.JP · Capital · Positive SoftBank raised over $11B in bonds and has an Arm-backed credit line up to ~$25B to fund its OpenAI stake
OpenAI · Capital · Positive SoftBank is preparing another $10B OpenAI installment funded by the new bond issuance
ARM · Capital · Positive SoftBank's credit line is backed by Arm shares and hedge funds increased long positions in Arm, keeping it as the strategic asset SoftBank retains.
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Arm Reports Over $2 Billion in AGI CPU Demand for Fiscal 2027 and 2028

Arm Holdings reported more than $2 billion in customer demand for its AGI CPU across fiscal 2027 and 2028, a move that takes the chip architecture company beyond licensing designs and collecting royalties when partners ship processors. The AGI CPU gives Arm a chance to sell a finished product, bringing a different set of manufacturing and delivery demands, and customer interest is only a start, with shipped chips and reported revenue to show what the opportunity is worth. Shares of Arm fell 1.24% to $329.06 Wednesday morning, trading 69.5% above the GF Value of $194.14, a gap that puts the focus on execution. The AGI CPU has to deliver meaningful sales alongside Arm's established royalty business for today's valuation to hold up.
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Artificial Intelligence › EDA & Semiconductor IP ▲Demand
Semiconductors › EDA & Semiconductor IP Competition
Artificial Intelligence › AI Compute & Accelerator Silicon Competition
Artificial Intelligence › Custom Silicon / ASIC Competition
Semiconductors › Logic, Compute & Connectivity Processors Competition
ARM · Demand · Positive Arm reported over $2 billion in customer demand for its AGI CPU across fiscal 2027 and 2028, a concrete product-order signal.
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EDA & Semiconductor IPimpact 4

AMD Posts Record $11.54B Quarter as Arm's New AGI CPU Tops $2B in Demand

AMD reported record Q2 FY2026 revenue of $11.54B, up 50.1% year over year, while Arm's Q1 FY2027 revenue rose 22.4% to $1.29B as its first internally designed data center chip drew more than $2 billion in demand. AMD's Data Center segment reached $6.7 billion, or 58% of total revenue, up from 42% a year ago, and CEO Lisa Su said the company hit a fifth consecutive quarter of record server CPU revenue, with cloud and enterprise each growing more than 70%. Arm CEO Rene Haas said demand for the Arm AGI CPU now exceeds $2 billion as the company adds new customers, including multiple customers in the US and China, while Neoverse shipments surpassed 1.5 billion cores. Arm's operating margin compressed to 7% from 11%, and its EPS missed the $0.4038 consensus by 38.09%. AMD guided Q3 revenue of roughly $13B, plus or minus $300M, and bundles its 6th Gen EPYC Venice CPUs with MI450 GPUs and Pensando networking into Helios racks, while Arm's move into producing its own silicon puts it in competition with the licensees it collects royalties from.
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Semiconductors › Logic, Compute & Connectivity Processors ▲Demand
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Demand
Artificial Intelligence › EDA & Semiconductor IP Competition
Semiconductors › EDA & Semiconductor IP Competition
Artificial Intelligence › Custom Silicon / ASIC Competition
AMD · Capital · Positive AMD reported record Q2 FY2026 revenue of $11.54B, up 50.1% YoY, with Data Center at $6.7B and Q3 guidance of ~$13B.
ARM · Capital · Neutral Arm's Q1 FY2027 revenue rose 22.4% to $1.29B but operating margin compressed to 7% and EPS missed consensus by 38.09%.
ARM · Demand · Positive Arm's first internally designed data center chip drew more than $2B in demand as it adds new US and China customers, with Neoverse shipments surpassing 1.5B cores.
ARM · Competition · Negative Arm's move into producing its own silicon puts it in competition with the licensees it collects royalties from.
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24/7 Wall St.·11dRead more →
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Stifel Reiterates Buy and $350 Target on Marvell After ECOC Meeting

Stifel reiterated a Buy rating and a $350 price target on Marvell Technology after meeting with executives at the ECOC 2026 optical communications conference in Malaga, Spain. Marvell told the firm it expects to sample 2nm products at the end of 2026, with production ramping in the second half of 2027 across PAM4 and coherent and coherent-lite modulation. Management argued that securing 2nm capacity, not just access to the node, is what sets it apart, and Stifel flagged pluggable optical modules as potentially underappreciated, with unit volume expectations rising across scale-up, scale-out and scale-across networks. Separately, Marvell has expanded its silicon-germanium capacity with GlobalFoundries to support its lead in transimpedance amplifiers, and management sees its XPU Attach business, the components that connect to custom AI processors, as a potentially bigger opportunity than the processor market itself, a case it may lay out at its October 6 Investor Day. Marvell shares were down 0.58% in premarket.
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Artificial Intelligence › Custom Silicon / ASIC ▲Technology
Semiconductors › Logic, Compute & Connectivity Processors ▲Technology
Artificial Intelligence › Optical Interconnect & DCI ▲Demand
Semiconductors › Foundry & Contract Fabrication ▲Demand
Semiconductors › Analog, Power & Discrete ▲Demand
Artificial Intelligence › EDA & Semiconductor IP ▲Technology
Artificial Intelligence › Foundry & Advanced Packaging ▲Supply
MRVL · Capital · Positive Stifel reiterated a Buy rating and $350 price target on Marvell after the ECOC meeting.
MRVL · Technology · Positive Marvell said it expects to sample 2nm products at end-2026 with production ramping in H2 2027 across PAM4 and coherent modulation.
GFS · Demand · Positive Marvell expanded its silicon-germanium capacity with GlobalFoundries to support its transimpedance amplifier lead, a concrete capacity/order development for GF.
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EDA & Semiconductor IP

Altera Files Confidentially for U.S. IPO That Could Raise Over $2 Billion

Altera, the programmable-chip company that Intel sold control of last year, confidentially filed for a U.S. IPO on September 15 in an offering Reuters previously reported could raise more than $2 billion. Silver Lake owns 51% of Altera after investing $4.46 billion for control, while Intel retains 49%, and the listing would create a new market valuation for Intel's remaining interest in a business it bought for $16.7 billion in 2015. Altera management has projected mid-20% revenue growth in 2026, though investors will have to judge how much of that growth is genuinely AI-driven. The most useful strategic comparison is Advanced Micro Devices, which bought FPGA leader Xilinx in 2022 and folded programmable silicon into a broader data-center portfolio spanning EPYC CPUs and Instinct accelerators. Altera's offering terms have not been set, so the $2 billion figure remains a reported fundraising possibility rather than a finalized deal.
About megatrends
Semiconductors › Logic, Compute & Connectivity Processors Competition
Artificial Intelligence › Custom Silicon / ASIC Competition
Artificial Intelligence › EDA & Semiconductor IP Capital
Altera Corporation · Capital · Positive Altera confidentially filed for a U.S. IPO that could raise over $2 billion, with management projecting mid-20% revenue growth in 2026.
INTC · Capital · Positive Altera's confidential IPO filing would create a new market valuation for Intel's retained 49% stake in the business.
Silver Lake · Capital · Neutral Article notes Silver Lake owns 51% of Altera after its $4.46B investment, but the news is Altera's IPO filing, not a Silver Lake action.
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Insider Monkey·11dRead more →
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EDA & Semiconductor IP5

Corning, Qualcomm and Lumentum to Showcase High-Density Optical Chip Links at ECOC 2026

Corning, Qualcomm and Lumentum plan to showcase a high-density die to die optical connectivity solution at ECOC 2026. The joint demo targets AI scale up architectures that require higher bandwidth, lower latency and tighter power budgets for chip interconnects, and the ECOC 2026 presentation will highlight massively parallel optical D2D links paired with high density fiber to support advanced AI data centers. The project taps Corning's existing role supplying fiber and optical technology to large infrastructure buyers rather than representing a completely new line of work, positioning its multimode fiber alongside Qualcomm's interface IP and Lumentum's VCSEL engines. The unresolved piece is commercial proof: the clearest early sign that this direction is working will be whether Corning starts pointing to concrete D2D or co packaged optics wins in its AI focused optical order book or in follow on agreements tied to the 2027 to 2032 style long term fiber deals already in place.
About megatrends
Artificial Intelligence › Optical Interconnect & DCI ▲Technology
Artificial Intelligence › AI Networking & Interconnect ▲Technology
Semiconductors › Logic, Compute & Connectivity Processors Technology
Semiconductors › Interconnect & Passive Components Technology
Artificial Intelligence › EDA & Semiconductor IP Technology
Cloud & Digital Infrastructure › Telecom Towers, Fiber & Colocation Technology
Artificial Intelligence › Edge & On-device AI Silicon Technology
GLW · Technology · Positive Corning will showcase its multimode fiber in a high-density die-to-die optical connectivity demo for AI data centers at ECOC 2026.
LITE · Technology · Positive Lumentum's VCSEL engines are part of the joint high-density optical D2D interconnect demo at ECOC 2026.
QCOM · Technology · Positive Qualcomm's interface IP is featured in the joint high-density die-to-die optical connectivity solution for AI scale-up architectures.
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Simply Wall St·12dRead more →
United States
EDA & Semiconductor IP▲

24/7 Wall St. Sets $490.29 Synopsys Price Target With Buy Rating

24/7 Wall St. issued a buy recommendation on Synopsys with a $490.29 price target, about 27.36% above the recent quote of $400.70, citing AI-driven chip design complexity. The firm reported 90% confidence in the call even as Synopsys shares have fallen 14.69% year to date and 16.54% over the past year, within a 52-week range of $362.55 to $539.48. In Q3 FY2026, Synopsys revenue reached $2.48 billion, up 42.4% year over year, and non-GAAP EPS came in at $3.91 versus $3.67 consensus, while management raised full-year revenue guidance to $9.69 billion to $9.74 billion and non-GAAP EPS guidance to $15.04 to $15.10. CEO Sassine Ghazi said AI is driving unprecedented complexity and increasing demand for silicon IP and engineering solutions, and the company logged more than 30 full-flow technical wins in a single quarter with agentic EDA being evaluated by 20 customers across more than 25 specialized AI agents. Synopsys carries an $11 billion backlog, the Ansys deal carries a reiterated $400 million revenue synergy target, and long-term debt jumped to $13.46 billion after Ansys, with GAAP profitability compressed by roughly $404 million per quarter of intangible amortization. Synopsys trades at roughly 28x forward earnings versus 30x for Cadence Design Systems, which has a $77.9 billion market cap and an analyst target of $402.12, while Broadcom trades at 19x forward earnings with a $1.71 trillion market cap and 85.5% quarterly revenue growth. The Street's average analyst target sits at $545.93, and the September 30 Investor Day could confirm Ansys synergy timing and agentic EDA monetization.
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Semiconductors › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › AI Compute & Accelerator Silicon Technology
SNPS · Capital · Positive 24/7 Wall St. issued a Buy rating with a $490.29 price target on Synopsys, an analyst valuation call.
SNPS · Demand · Positive CEO cited AI-driven complexity boosting demand for silicon IP and engineering solutions, with 30+ full-flow technical wins and agentic EDA evaluated by 20 customers.
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EDA & Semiconductor IP▲3impact 4

Arm Shares Jump 17% as CEO Signals Confidence in $2 Billion AGI CPU Target

Arm Holdings shares rose 17% to $323 after CEO Rene Haas told CNBC that demand for the company's technology was off the charts and that he is increasingly convinced Arm can surpass its $2 billion revenue target for its developing AGI CPU business. That goal has moved quickly: Arm began in March with an initial target of $1 billion, raised it to $2 billion in May, and by September Haas said the pipeline was above that level. Nvidia's Vera CPU, Google's Axion, Amazon's Graviton5, and Microsoft's Azure Cobalt all use Arm-based computation, tying the company to the expanding trend of CPUs paired with AI accelerators. Haas also pointed to supply restrictions on wafers, substrates and testing capacity that could take years to work through, a problem that nonetheless shows demand is outstripping available capacity. The larger story is Arm's effort to move away from its usual licensing arrangement and capture more value from the chips themselves, and Monday's surge suggests investors are increasingly focused on that opportunity.
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Artificial Intelligence › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Demand
Semiconductors › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › Custom Silicon / ASIC ▲Demand
Semiconductors › Logic, Compute & Connectivity Processors Competition
Artificial Intelligence › HBM & AI Memory ▲Supply
Semiconductors › Advanced Packaging & Test (OSAT) ▲Supply
Semiconductors › Materials & Specialty Chemicals ▲Supply
ARM · Demand · Positive CEO says demand is off the charts and the AGI CPU pipeline exceeds the $2 billion target.
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EDA & Semiconductor IP▲3

Asset Plus Fund Management Says AI Is Not Yet in a Bubble, Eyes Return on Investment

Asset Plus Fund Management assesses that the rally in technology stocks and the massive investment in AI infrastructure still show no clear sign of entering bubble territory. Kamolyot Sukhumsuwan, Chief Investment Officer, said such concerns are reasonable given the rapid rise in share prices and the accelerating investment by hyperscalers in data centers, semiconductors, and artificial intelligence infrastructure, pushing capital expenditure budgets to record highs. However, any assessment should look at demand across the entire supply chain rather than share prices or the size of CapEx alone. Upstream, ASML reported sales of 9.3 billion euros, beating market expectations, and raised its full-year revenue target, with nearly all of its order book already secured for 2027. TSMC, meanwhile, posted revenue of 40.2 billion US dollars, up 33% from a year earlier, with its High Performance Computing business accounting for 66% of total revenue, and raised its 2026 capital expenditure budget to 60 to 64 billion US dollars. In memory, Micron said its HBM production capacity for 2026 is fully booked under long-term contracts, while SK Hynix has begun mass shipments of HBM4 and has long-term agreements with several customers. On the conversion of orders into revenue, NVIDIA reported revenue of 96.2 billion US dollars in its latest quarter, up 106% from a year earlier, with Data Center revenue at 89.0 billion US dollars, while Broadcom posted revenue of 29.6 billion US dollars, up 86%, with AI chip revenue up 221% to 16.7 billion US dollars. The key issue to watch next is how well this enormous wave of investment will generate adequate returns, since CapEx is starting to pressure cash flow and financing costs remain high. AI Infrastructure and AI Labs, which rely heavily on external funding, carry more risk than hyperscalers with strong financial positions. Asset Plus Fund Management still sees AI as a key long-term investment trend, but investors should focus on the quality of growth and choose companies that can sustainably turn AI opportunities into earnings.
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Semiconductors › Memory — DRAM, NAND & HBM ▲Demand
Semiconductors › Lithography Systems ▲Demand
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Demand
Artificial Intelligence › GPU & Merchant Accelerators ▲Demand
Artificial Intelligence › HBM & AI Memory ▲Demand
Semiconductors › Foundry & Contract Fabrication ▲Demand
Artificial Intelligence › Foundry & Advanced Packaging ▲Demand
Semiconductors › Logic, Compute & Connectivity Processors ▲Demand
ASML.AS · Demand · Positive ASML reported sales of 9.3 billion euros beating expectations and raised its full-year revenue target, with nearly all of its order book already secured for 2027.
NVDA · Demand · Positive NVIDIA reported quarterly revenue of $96.2B, up 106%, with Data Center revenue at $89.0B, cited as proof AI orders convert to revenue.
000660.KO · Demand · Positive SK Hynix has begun mass shipments of HBM4 and holds long-term agreements with several customers.
2330.TW · Demand · Positive TSMC posted revenue of $40.2B, up 33%, with High Performance Computing at 66% of total revenue, and raised its 2026 capex budget.
AVGO · Demand · Positive Broadcom posted revenue of $29.6B, up 86%, with AI chip revenue up 221% to $16.7B, cited as evidence of real AI demand.
MU · Demand · Positive Micron said its HBM production capacity for 2026 is fully booked under long-term contracts, a concrete demand signal.
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Lattice Semiconductor Jumps 5.7% on New Mach-N2 FPGA Line and $94.74 Million Bank of America Stake

Lattice Semiconductor launched its Mach-N2 FPGA line and Prompt AI development tool for data center security and efficiency, alongside a newly disclosed $94.74 million stake in the company by Bank of America. The Mach-N2 field-programmable gate array line and the Prompt AI development tool are designed to enhance security and efficiency in data center operations. The stock's upward move also coincided with broader momentum across the semiconductor sector, as peer chipmaker stocks advanced in tandem during the session. Lattice Semiconductor shares closed the day at $117.35, up 5.8% from the previous close. The stock is up 49.1% since the beginning of the year, but at $117.28 per share it is still trading 24.5% below its 52-week high of $155.27 from June 2026.
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Semiconductors › Logic, Compute & Connectivity Processors Technology
Artificial Intelligence › Edge & On-device AI Silicon Technology
Artificial Intelligence › EDA & Semiconductor IP Technology
LSCC · Technology · Positive Lattice launched its Mach-N2 FPGA line and Prompt AI development tool for data center security and efficiency.
LSCC · Capital · Positive Bank of America disclosed a $94.74 million stake in Lattice Semiconductor.
BAC · Capital · Neutral Bank of America disclosed a $94.74 million stake in Lattice Semiconductor, a financial holding rather than a driver of BofA's own business.
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Yahoo Finance·12dRead more →
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EDA & Semiconductor IP▲

Marvell Unveils Three 2-Nanometer Optical Technologies for AI Networks

Marvell Technology unveiled three 2-nanometer optical technologies aimed at easing one of AI infrastructure's biggest pressure points: moving more data through increasingly crowded networks. The lineup stretches from 400-gigabit-per-second-per-lane PAM4 technology built for 3.2-terabit connectivity to an 800-gigabit ZR/ZR+ pluggable with integrated MACsec encryption and 1.6-terabit coherent links spanning data-center connections. Marvell is also showing a 102.4-terabit-per-second co-packaged-optics platform among 38 demonstrations at ECOC. Shares climbed approximately 3.4% to $252.39 Monday, a level 109.07% above the $120.72 GF Value. The company's latest quarter produced $2.739 billion of revenue, up 37%, while data-center sales jumped 46%, though the next test is execution through customer design wins, production schedules, shipment volumes and margins.
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Artificial Intelligence › Optical Interconnect & DCI ▲Technology
Artificial Intelligence › AI Networking & Interconnect ▲Technology
Semiconductors › Logic, Compute & Connectivity Processors ▲Technology
Artificial Intelligence › Custom Silicon / ASIC Competition
Artificial Intelligence › EDA & Semiconductor IP ▲Technology
Cloud & Digital Infrastructure › Enterprise Data Storage Systems Technology
MRVL · Technology · Positive Marvell unveiled three 2-nanometer optical technologies (PAM4, 800G ZR/ZR+, 1.6T coherent, 102.4T co-packaged optics) for AI networks.
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EDA & Semiconductor IP▲3impact 4

Meta's Muse Launch Powers Arm and AMD as Agentic AI Demand Surges

Meta Platforms launched Muse, an autonomous personal AI agent that shot to the top of the Apple App Store within a week, and the agentic AI shift is driving gains for Arm Holdings and Advanced Micro Devices. In March, Meta and Arm announced a large-scale partnership to co-develop Arm AGI CPU and multiple generations of specialized silicon for Meta's data centers, and Arm CEO Rene Haas said Arm already has $2 billion of customer demand for its new AGI CPU. SoftBank, which owns roughly 90% of Arm's shares outstanding, said it would raise Arm's loan facility to $25 billion from $20 billion, and Arm shares rose more than 10% in early trading. Meta partnered with AMD to optimize Muse Glimmer, an open-source model designed to run locally on computers, and demand for agentic AI has pushed prices for AMD server chips up about 40%. AMD CEO Lisa Su said the server CPU market could exceed $120 billion by the end of the decade, a 35% CAGR, and AMD shares broke out to all-time highs as the company crossed the $1 trillion market cap landmark for the first time.
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Artificial Intelligence › EDA & Semiconductor IP ▲Demand
Semiconductors › Logic, Compute & Connectivity Processors ▲Demand
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Demand
Semiconductors › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › Agentic AI & Autonomous Workflows ▲Demand
Artificial Intelligence › AI Applications & Copilots ▲Demand
Artificial Intelligence › Custom Silicon / ASIC ▲Demand
AMD · Demand · Positive Meta partnered with AMD to optimize Muse Glimmer and agentic AI demand pushed AMD server chip prices up ~40%, with CEO Lisa Su projecting a $120B+ server CPU market.
META · Technology · Positive Meta launched Muse, an autonomous personal AI agent that topped the Apple App Store within a week.
ARM · Demand · Positive Arm CEO Haas said Arm already has $2 billion of customer demand for its new AGI CPU, tied to the Meta co-development partnership.
9984.JP · Capital · Positive SoftBank, which owns roughly 90% of Arm, said it would raise Arm's loan facility to $25 billion from $20 billion.
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Zacks Investment Research·13dRead more →
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EDA & Semiconductor IP▲3

Marvell to Debut Industry-First 2nm Optical Interconnects at ECOC 2026

Marvell Technology announced industry-first 2nm optical interconnect demonstrations that advance next-generation AI data center connectivity, to be showcased at the European Conference on Optical Communication (ECOC) 2026, held September 20-24, 2026, in Málaga, Spain. The demos include the first 2nm 400G/lane optical PAM4 demonstration, the first live demonstration of 2nm 800G ZR/ZR+ with MACsec powered by the Marvell Libra 2nm coherent DSP, and the first 2nm 1.6T ZR and coherent-lite O-band demonstrations powered by next-generation Marvell DSPs announced earlier this year. Marvell will also present its 102.4T co-packaged optics platform, which integrates optics directly with AI accelerators and switch silicon and is demonstrated at 102.4 Tbps with 200G-per-lane silicon photonics. The company said the technologies build on a multi-generational history of industry firsts, including the first 5nm 200G/lane 1.6T Marvell Nova DSPs in 2023, the 3nm 1.6T Ara platform in 2024 and the 2nm 800G Libra DSPs announced earlier this year. Marvell will showcase 38 advanced technology demos at Booth #2002, spanning 224G SerDes and 1.6T optics to coherent interconnects and optical memory fabrics, and executives including Xi Wang, senior vice president and general manager of the Connectivity Business Unit, will participate in presentations and panels.
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Artificial Intelligence › Optical Interconnect & DCI ▲Technology
Artificial Intelligence › AI Networking & Interconnect ▲Technology
Semiconductors › Logic, Compute & Connectivity Processors ▲Technology
Artificial Intelligence › Custom Silicon / ASIC ▲Technology
Artificial Intelligence › EDA & Semiconductor IP ▲Technology
Semiconductors › Advanced Packaging & Test (OSAT) ▲Technology
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Business Wire·13dRead more →
NetherlandsTaiwanUnited StatesSouth Korea
EDA & Semiconductor IPimpact 4

ASML and TSMC Partner to Adapt High NA EUV Tools for Larger AI Chips

ASML Holding N.V. plans to work with major customers including Taiwan Semiconductor Manufacturing Company Limited, Nvidia, Intel, Samsung, and SK Hynix to adapt its next-generation High NA extreme ultraviolet lithography tools so they can print larger data-center chips, addressing a current limitation where the newer machines use a smaller mask than ASML's widely deployed standard EUV tools. ASML targets a pilot production line using the larger masks by 2031 and high-volume manufacturing readiness by 2033, with Chief technology officer Marco Pieters saying the changes could lift system productivity by roughly 40%. TSMC plans to introduce High NA EUV into advanced-node high-volume production from 2030, giving ASML greater visibility into future equipment demand. The larger-mask transition carries execution risks, as ASML must develop and qualify larger masks while TSMC must integrate the technology into high-volume manufacturing, and the benefits remain several years away from contributing to either company's financial results. Hedge fund ownership of ASML grew to 140 funds in the second quarter from 133 in the first, with combined position value rising to $21.77 billion from $16.38 billion, while TSMC's hedge fund ownership grew to 249 funds from 234.
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Semiconductors › Lithography Systems ▲Technology
Semiconductors › Wafer-Fab Equipment & Lithography ▲Technology
Artificial Intelligence › Foundry & Advanced Packaging ▲Technology
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Technology
Semiconductors › Foundry & Contract Fabrication Technology
Artificial Intelligence › EDA & Semiconductor IP Technology
Artificial Intelligence › Custom Silicon / ASIC ▲Technology
Artificial Intelligence › GPU & Merchant Accelerators ▲Technology
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Reuters·14dRead more →
China
EDA & Semiconductor IP

China Micro Semicon Establishes Hunan Tech Subsidiary to Expand into AI and Integrated Circuit Chip Business

China Micro Semicon has established a wholly owned subsidiary, China Micro Changxin Hunan Technology Company, with a business scope covering the sales of integrated circuit chips and products, integrated circuit chip design and services, integrated circuit sales, as well as artificial intelligence foundational software development and artificial intelligence application software development. Corporate registry data shows the company is wholly owned by China Micro Semicon.
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Artificial Intelligence › AI Compute & Accelerator Silicon Competition
Semiconductors › Logic, Compute & Connectivity Processors Competition
Artificial Intelligence › EDA & Semiconductor IP Competition
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United States
EDA & Semiconductor IP▲2impact 4

Marvell and GlobalFoundries Expand SiGe Capacity Deal at Vermont Facility

Marvell Technology and GlobalFoundries have expanded their multi-year agreement to increase production capacity for silicon germanium, or SiGe, at GlobalFoundries' facility in Burlington, Vermont, sending Marvell shares up more than 4% and GlobalFoundries shares up more than 6% on September 17. SiGe is a semiconductor technology used in high-speed optical connections for data centers, allowing devices to operate at higher speeds while using less energy. Robb Johnson, Vice President of Foundry Technology at Marvell, said the expanded collaboration will help ensure the company has the SiGe technology and manufacturing capacity to support the significant growth it expects ahead, and the added capacity will help Marvell meet growing demand for optical networking products including pluggable optical transceivers, near-packaged optics, and co-packaged optics. GlobalFoundries reported $1.786 billion in revenue for the second quarter of 2026, up 6% year over year, with its communications infrastructure and data center segment accounting for about 16% of total revenue and growing 20% sequentially and 62% year over year, and CEO Tim Breen said demand for SiGe remains strong and the company is oversubscribed throughout 2027. Marvell reported record net revenue of $2.739 billion in the second quarter of fiscal 2027, up 37% year over year, and Chairman and CEO Matt Murphy said AI-related bookings remain exceptionally robust as the company raised its revenue outlook for fiscal 2027 and fiscal 2028.
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Artificial Intelligence › Optical Interconnect & DCI ▲Supply
Semiconductors › Foundry & Contract Fabrication ▲Supply
Semiconductors › Logic, Compute & Connectivity Processors ▲Demand
Artificial Intelligence › AI Networking & Interconnect ▲Supply
Cloud & Digital Infrastructure › Telecom Towers, Fiber & Colocation ▲Supply
Artificial Intelligence › EDA & Semiconductor IP ▲Technology
Artificial Intelligence › Custom Silicon / ASIC Supply
MRVL · Supply · Positive Expanded multi-year SiGe capacity agreement with GlobalFoundries secures manufacturing capacity to meet growing optical networking demand.
GFS · Demand · Positive Expanded SiGe capacity deal with Marvell and strong oversubscribed SiGe demand through 2027 supports GlobalFoundries' communications/data-center business.
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Insider Monkey·15dRead more →
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EDA & Semiconductor IP

Tigress Financial Raises Intel Price Target to $145 on Terafab Partnership

Tigress Financial reiterated its Buy rating on Intel and raised its price target to $145 from $118 on September 15, citing the company's Terafab partnership with companies associated with Elon Musk, including SpaceX, Tesla, and xAI, as a strategic boost to its AI foundry ambitions. The initiative is part of an ambitious semiconductor manufacturing project focused on producing advanced chips for artificial intelligence, robotics, autonomous vehicles, and other compute-intensive applications. Intel said in its second-quarter earnings report that it remains well positioned to pursue sustainable growth through advanced packaging and its wafer foundry network, pointing to momentum in Physical AI and robotics with more than 130 customers testing its Core Ultra Series 3 and Core Series 3 processors for edge AI and robotics applications. The partnership's commercial terms, production volumes, and potential revenue contribution have not been fully disclosed, and the principal risk is that it could strengthen Intel's strategic position in foundry manufacturing without generating meaningful financial returns for several years. According to the Insider Monkey database, 138 hedge funds held stakes in Intel at the end of the second quarter, up from 112 funds in the first quarter, with SoftBank Group Corp. and Coatue Management among the notable institutional holders at approximately $12.14 billion and $1.68 billion, respectively, while roughly 152.25 million Intel shares were sold short as of August 31, representing about 3.02% of the public float.
About megatrends
Artificial Intelligence › Foundry & Advanced Packaging ▲Competition
Semiconductors › Foundry & Contract Fabrication ▲Competition
Artificial Intelligence › AI Compute & Accelerator Silicon Competition
Artificial Intelligence › Edge & On-device AI Silicon ▲Demand
Robotics & Physical AI › Robotics AI & Embodiment Software Technology
Semiconductors › Advanced Packaging & Test (OSAT) ▲Demand
Artificial Intelligence › Custom Silicon / ASIC Competition
Artificial Intelligence › EDA & Semiconductor IP Demand
INTC · Capital · Positive Tigress Financial reiterated Buy and raised Intel's price target to $145 from $118, citing the Terafab partnership as a strategic boost to its AI foundry ambitions.
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Insider Monkey·15dRead more →
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EDA & Semiconductor IP▲

Jim Cramer Calls Selling Arm Holdings Early a "Big Mistake" as Stock Sits 46% Below June High

Jim Cramer said selling Arm Holdings early was a "big mistake," noting on the September 16 episode of Mad Money that the stock has fallen 46% from its June high of $452 to just under $244. Arm's fiscal first quarter 2027 results showed total revenue of $1.29 billion, up 22% year over year, with royalty revenue up 22% to $715 million and licensing revenue up 23% to $574 million, while data-center royalties more than doubled and the company posted a non-GAAP operating margin of 41% and $665 million in non-GAAP free cash flow. Management expects Q2 FY27 revenue of $1.38 billion with a $50 million margin of error, non-GAAP operating expenses of about $780 million, and non-GAAP fully diluted earnings per share of $0.47 with a $0.04 margin of error, with results due by November 4. The stock trades at around 110x forward earnings, and short interest stood at 11.52% of the public float as of August 31, while 52 hedge fund portfolios held a stake in the second quarter, up from 46 in the prior period. Cramer argued that panicking over steep pullbacks in dominant tech leaders is a losing game, calling short-term drops buying opportunities for patient investors given Arm's royalty growth and tight supply.
About megatrends
Artificial Intelligence › EDA & Semiconductor IP ▲Demand
Semiconductors › EDA & Semiconductor IP ▲Demand
Artificial Intelligence › AI Compute & Accelerator Silicon Demand
Artificial Intelligence › Custom Silicon / ASIC Technology
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United States
EDA & Semiconductor IP2impact 4

Lattice Semiconductor Launches Mach-N2 FPGA Family After 62% Revenue Jump

Lattice Semiconductor rolled out its Mach-N2 FPGA family on September 16, a chip line built to protect control systems inside servers, network gear, and industrial equipment against next-generation cyber threats. The launch follows a second quarter in which Lattice reported revenue of $201.1 million, up 62% from a year earlier and above the high end of its own guidance, with non-GAAP earnings per diluted share of $0.53 versus $0.24 a year prior. The new family packs up to twice the logic density of its predecessor, configures a 220,000-cell device in under 30 milliseconds, and bundles CNSA 2.0-compliant post-quantum cryptography, with samples already shipped to compute and communications customers. Lattice guided third-quarter FPGA revenue to $220 million at the midpoint, 65% growth year over year, and said total revenue including two months of its newly closed AMI acquisition should push it toward a $1 billion annual run rate. The company closed the $1.65 billion AMI deal on July 27, 2026, paying roughly $1 billion in cash and issuing about 5.2 million new shares worth around $650 million, and AMI is expected to contribute more than $200 million in 2026 revenue on its own. GAAP net income fell to $19.4 million in the second quarter from $21.8 million in the first, with diluted GAAP earnings per share slipping to $0.14 from $0.16, as operating expenses jumped 29.9% quarter over quarter.
About megatrends
Semiconductors › Logic, Compute & Connectivity Processors ▲Demand
Cybersecurity & Digital Trust › Post-Quantum & Cryptographic Trust ▲Technology
Artificial Intelligence › EDA & Semiconductor IP Competition
Artificial Intelligence › AI Compute & Accelerator Silicon Technology
LSCC · Capital · Positive Q2 revenue rose 62% to $201.1M above guidance with EPS $0.53 vs $0.24, and Q3 guided to 65% growth.
LSCC · Technology · Positive Launched Mach-N2 FPGA family with double logic density and post-quantum cryptography, samples shipped to customers.
AMI · Capital · Positive Lattice closed the $1.65B AMI acquisition, which is expected to contribute over $200M in 2026 revenue.
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United States
EDA & Semiconductor IP

Lattice Semiconductor Launches Mach-N2 Secure FPGA Family and AI Design Tool

Lattice Semiconductor has launched its Mach-N2 FPGA family, adding higher logic density, integrated flash, post-quantum cryptography, and faster connectivity for secure control in modern infrastructure systems. The company paired the launch with its new AI-powered Lattice Prompt design tool, tying advanced hardware security to accelerated FPGA development workflows and potentially deepening its role in next-generation compute, communications, and industrial deployments. The Mach-N2 launch reinforces Lattice's secure control positioning but does not remove near-term risks around pricing pressure, customer inventory swings, or reliance on a relatively narrow product focus. Lattice's narrative projects $2.0 billion in revenue and $525.1 million in earnings by 2029, yielding a $164.92 fair value and a 52% upside to its current price. Before Mach-N2, the most optimistic analysts had already assumed revenue could reach about US$2.3 billion and earnings US$359 million by 2029, far above consensus.
About megatrends
Cybersecurity & Digital Trust › Post-Quantum & Cryptographic Trust ▲Technology
Artificial Intelligence › EDA & Semiconductor IP Technology
Semiconductors › Logic, Compute & Connectivity Processors Competition
Artificial Intelligence › Edge & On-device AI Silicon Technology
LSCC · Technology · Positive Lattice launched the Mach-N2 secure FPGA family with post-quantum cryptography and the AI-powered Lattice Prompt design tool, advancing its product portfolio.
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United States
EDA & Semiconductor IP

Astera Labs Expands Leo Memory Controllers for AI and Cloud Workloads

Astera Labs unveiled new Leo Smart Memory Controller solutions, including the Leo X-Series and Leo 2 E & P-Series, targeting AI and cloud workloads. The expanded Leo lineup is built for large-scale AI uses such as KV-cache and agentic AI, aiming to improve memory efficiency for hyperscalers. Astera Labs is collaborating with major CPU, GPU, and memory vendors and is showcasing the Leo family at the AI Infra Summit. The company designs connectivity chips that link CPUs, GPUs, and memory inside cloud and AI data centers, and its Leo controllers plug directly into the core plumbing that lets large AI workloads access high volumes of data efficiently.
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Artificial Intelligence › AI Networking & Interconnect ▲Technology
Artificial Intelligence › HBM & AI Memory ▲Technology
Semiconductors › Logic, Compute & Connectivity Processors Technology
Semiconductors › Memory — DRAM, NAND & HBM Technology
Cloud & Digital Infrastructure › Mega-cap Hyperscalers Technology
Cloud & Digital Infrastructure › Hyperscale Cloud (IaaS / PaaS) Technology
Artificial Intelligence › EDA & Semiconductor IP Competition
ALAB · Technology · Positive Astera Labs unveiled expanded Leo Smart Memory Controller lineup (X-Series, 2 E & P-Series) for AI/cloud workloads, a product development.
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Simply Wall St·17dRead more →
United States
EDA & Semiconductor IP▲4impact 4

Marvell Data Center Revenue Hits Record $2.17 Billion, 79% of Total

Marvell Technology's data center business reached a record $2.17 billion in the second quarter of fiscal 2027, up 46% year over year and 18% sequentially, and accounted for 79% of total company revenues. The data center end market made up 74% of Marvell's fiscal 2026 revenues, and the company expects data center revenues to grow approximately 60% in fiscal 2027. Marvell reported strong demand for 800G optical DSPs while its 1.6T products ramp rapidly, and scale-out switching is expected to more than double in fiscal 2027 on broader adoption of its 51.2T switch products. The company expects its custom business to accelerate in the second half of fiscal 2027 and more than double year over year in fiscal 2028, driven by XPU and XPU-attach solutions, with an expanded hyperscaler agreement covering AI inference accelerators, storage controllers, network interface controllers, memory interface controllers and near-memory compute. Marvell also expanded its position in next-generation AI infrastructure through its relationship with NVIDIA, including NVLink Fusion, scale-up switching and silicon photonics, and introduced products such as the 102.4 Tbps Teralynx T100 switch. Marvell shares have gained 170.3% year to date, and the Zacks Consensus Estimate for fiscal 2027 earnings suggests year-over-year growth of 48%.
About megatrends
Semiconductors › Logic, Compute & Connectivity Processors ▲Demand
Artificial Intelligence › Custom Silicon / ASIC ▲Demand
Artificial Intelligence › Optical Interconnect & DCI ▲Demand
Artificial Intelligence › Switching & Networking Silicon/Systems ▲Demand
Cloud & Digital Infrastructure › Hyperscale Cloud (IaaS / PaaS) ▲Demand
Cloud & Digital Infrastructure › Mega-cap Hyperscalers ▲Demand
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Demand
Artificial Intelligence › EDA & Semiconductor IP ▲Demand
MRVL · Demand · Positive Record $2.17B data center revenue, strong 800G/1.6T and 51.2T switch demand, and expanded hyperscaler XPU agreement drive growth.
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Zacks Investment Research·17dRead more →
United States
EDA & Semiconductor IP▲impact 4

Generac Soars 33% on Amazon Data Center Generator Deal

Generac struck a deal with Amazon to supply backup power generators for its data centers, sending the generator maker's shares up 33% in premarket trading. Initial deliveries are expected to total $2.4 billion between 2027 and 2028, and Generac also granted Amazon the right to buy up to $340 million worth of its stock; Amazon shares rose 1.3%. Lennar fell 1.2% after reporting third-quarter earnings of $1.19 per share, short of the $1.28 expected by analysts polled by FactSet and nearly half of what it saw this time last year, with revenue of $8.05 billion versus the $8.23 billion consensus estimate. Fluence Energy tumbled 22% after cutting its full-year guidance to $2.4 billion in revenue for 2026 from a prior range of $2.9 billion to $3.1 billion, and now anticipates a $200 million loss before interest, taxes, depreciation and amortization versus its previous guidance range of a $30 million loss to $10 million EBITDA. Nike rose 1.5% after announcing the appointment of Alexandre Arnault, Deputy CEO of LVMH's Moët Hennessy, to its board, and Arm Holdings gained roughly 4% after CEO Rene Haas told CNBC's Jim Cramer he is increasingly confident the company can meet demand for its new data center chip.
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Energy Transition & Power Demand › Behind-the-Meter & On-site Power ▲Demand
Energy Transition & Power Demand › Energy Storage & Grid Flexibility ▼Pricing
Artificial Intelligence › AI Power & Cooling ▲Supply
Artificial Intelligence › AI Data Center & Build-out ▲Supply
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Demand
Artificial Intelligence › EDA & Semiconductor IP ▲Demand
FLNC · Capital · Negative Fluence Energy cut its full-year 2026 revenue guidance to $2.4B and now expects a $200M EBITDA loss.
GNRC · Demand · Positive Generac won an Amazon deal to supply backup power generators for data centers, with $2.4B in initial deliveries.
GNRC · Capital · Positive Generac granted Amazon the right to buy up to $340 million worth of its stock.
LEN · Capital · Negative Lennar reported Q3 earnings of $1.19 per share, missing the $1.28 consensus, with revenue also below estimates.
NKE · Regulation · Neutral Nike appointed Alexandre Arnault, Deputy CEO of LVMH's Moët Hennessy, to its board.
AMZN · Demand · Positive Amazon struck a deal with Generac to buy backup power generators for its data centers, with $2.4B in initial deliveries.
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CNBC·17dRead more →
China
EDA & Semiconductor IP▲3impact 4

China unveils five-year plan to build up electronics industry, targeting revenue above 4.5 trillion dollars by 2030

China has unveiled a new five-year development plan for manufacturing in electronics- and information technology-related industries, setting a target to raise revenue above 30 trillion yuan, or 4.5 trillion dollars, by 2030. The plan was drawn up jointly by the Ministry of Industry and Information Technology, or MIIT, and the National Development and Reform Commission, or NDRC. It covers the strategic framework from 2026 to 2030 and reflects the Chinese government's push for supply chain self-reliance, aiming for global leadership in strategically important emerging technologies from artificial intelligence to advanced computing, amid ongoing global competition. Beyond the revenue target, China also aims to raise research and development investment in the industry to 3.5% by 2030, setting out 17 missions covering nine key industry groups, from electronic components and materials, specialised manufacturing and measurement equipment, photonics, advanced computing, consumer electronics, power electronics, positioning and timing information technology, chips and AI endpoint devices, through to industrial electronics. The plan also drives technology development in the integrated circuit industry supply chain, while upgrading advanced electronic materials and smart sensors. In computing and memory, China will develop high-bandwidth flash memory alongside new forms of storage products such as Ferroelectric RAM, Resistive RAM and Magnetoresistive RAM, and aims to build very large-scale intelligent computing infrastructure supporting AI clusters equipped with hundreds of thousands of accelerator cards, while accelerating the deployment of space computing technology. The announcement of this sector-specific plan follows China's release on September 7 of its 15th five-year development plan for the information and communications industry, drawn up by the Ministry of Industry and Information Technology.
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Semiconductors › Wafer-Fab Equipment & Lithography ▲Demand
Semiconductors › Memory — DRAM, NAND & HBM ▲Technology
Semiconductors › Materials & Specialty Chemicals ▲Demand
Semiconductors › Foundry & Contract Fabrication ▲Demand
Artificial Intelligence › AI Compute & Accelerator Silicon Geopolitics
Critical Materials & Supply Chain › Semiconductor Materials ▲Demand
Semiconductors › Logic, Compute & Connectivity Processors ▲Demand
Artificial Intelligence › HBM & AI Memory Technology
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