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TechWire Asia

AI Appreciation Day 2026 puts trust and governance in focus NVIDIA pours its full stack into Japan. The flip side of its China lockout? Malaysia's digital regulations are becoming a real cost for its startups Malaysia's AI data center vision: How EdgeConneX is building for the future Southeast Asia tech funding doubled to $7.4 billion. One company took most of it SK Hynix's Nasdaq listing raises $26.5 billion to fund Korea's AI memory expansion OpenAI launches GPT-5.6 for coding, cyber and science Meta rolls out Muse Image AI model for Instagram, WhatsApp, and advertisers Malaysia businesses face AI and password cybersecurity risks How AI workloads will test APAC mobile networks Enterprise AI costs don't have to spiral, argues ManageEngine Microsoft launches $2.5B Frontier Company for enterprise AI FIFA World Cup: How To Win Fans in APAC With Technology Kanga enters a new phase of global growth and launches Kanga Global Vertiv ramps up manufacturing in Johor's tightening data centre market U Mobile completes migration to own ULTRA5G network after DNB exit Anthropic Claude models launch in Microsoft Foundry on Azure Asia built the AI infrastructure boom. The BIS just flagged who's exposed if it stalls. Why Apple is lobbying Washington to buy China’s memory chips Nvidia-backed Firmus plans 170,000-GPU Batam AI data centre Taiwan robot makers march into humanoid systems Can Alibaba bridge Malaysia’s SME talent gap via agentic AI for business? Huawei’s new tech explains why mobile AI network tech is no longer optional Apple-Intel chip deal faces years-long production timeline China beats US in TOP500 ranking with world’s fastest supercomputer The global memory squeeze hits the Mainland China PC market, leading to a decline IBM joins OpenAI cyber program for vulnerability detection Is the Shopee ChatGPT integration the blueprint for the future of Southeast Asian e-commerce? How the global AI boom dropped a record RM1.127 trillion trade windfall on Malaysia Philippines expands Google Cloud public sector AI partnership South Korea takes a positive spin on AI Apple's price hikes trace the memory chip shortage straight back to Asia Why enterprises need clearer accountability for AI agents Google sues Chinese network over AI text phishing scams AI Won't Fix Broken Personalisation: Braze Report Reveals How Media and Entertainment Can Drive Real Success Across APAC Anthropic builds out Claude as OpenAI and Google stay ahead How APAC firms are handling software supply chain security Meta Business Agent turns WhatsApp into a salesperson, and Southeast Asia will decide if it works CrowdStrike: Chinese hackers lead tech sector espionage threats NVIDIA deals in South Korea cover AI memory, cloud and robotics Alibaba Cloud's Johor region launch comes packaged with an agentic AI push in Malaysia Digital Realty Malaysia is open and already looking beyond Cyberjaya AI’s invisible metal: Why tin demand is surging, and supplies are running thin WeChat is opening up to AI agents, and Southeast Asia’s super apps should be nervous TNG eWallet is eyeing agentic payments and its CEO sees Malaysia’s regulatory climate as encouraging AI data centres could double power and water use by 2030 TNG eWallet is no longer just a payment app, and the numbers prove it Nvidia GTC Taipei recap: RTX Spark, Vera, data centres and more Alipay wants AI agents to handle your payments. 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Andy Jassy says the hard part is keeping up with demand Minor Hotels builds data and AI platform with Google Cloud The MATCH Act would cut off China’s last chipmaking lifeline–Asia is already feeling it Amperity expands to Australian AWS Regions and invests in local talent Chinese memory giants are scaling fast, and the AI boom is giving them cover Intel joins Musk’s Terafab AI chip project with Tesla and SpaceX TikTok’s second data centre in Finland a European push Custom AI chips, 3.5 gigawatts, and a quiet SEC clause: the Broadcom deal explained Kong names Bruce Felt as chief financial officer DeepSeek V4 points to growing use of Huawei chips in AI models Microsoft to invest $10 billion in Japan for AI and cybersecurity Which CRMs offer the most powerful reporting tools?
IBM claims world’s first sub-1 nm chip technology using nanostack design
Muhammad Zulhusni · 2026-06-26 · via TechWire Asia
  • IBM says its sub-1 nm chip technology fits nearly 100 billion transistors.
  • IBM claims gains, but has no chip or manufacturing partner yet.

IBM has introduced a sub-1 nanometer chip technology built around a new transistor architecture called nanostack.

The company said the technology uses a 0.7-nanometer, or 7-angstrom, node. IBM described it as the world’s first sub-1 nanometer chip technology.

The 0.7-nanometer label refers to a process generation rather than the exact physical size of every transistor feature. According to IBM, modern node names refer to manufacturing technology generations, not a single measured dimension on a chip.

The design can place nearly 100 billion transistors on a chip area roughly the size of a fingernail, according to the company. That is about twice the transistor density of the 2-nanometer chip technology IBM announced in 2021.

The new technology is projected to deliver up to 50% more performance or 70% better energy efficiency than IBM’s 2-nanometer node chips, according to the company. IBM did not announce a commercial processor based on the technology.

The announcement refers to a chip technology and transistor architecture rather than a processor entering production. The company said the earliest adoption of nanostack at the sub-1 nanometer node could come within five years.

How nanostack changes chip design

The technology is based on IBM’s nanostack transistor structure. Instead of relying only on lateral scaling across a flat chip surface, the design vertically stacks and staggers transistors using three-dimensional sequential integration.

Nanostack is a three-dimensional, nanosheet-based design that builds on nanosheet technology, according to IBM. Nanosheet transistors use thin horizontal sheets surrounded by a gate. The new architecture extends that approach by placing transistor layers above one another, allowing more devices to fit into the same chip area.

IBM Research describes NanoStack as a sequential stacking CMOS transistor architecture for the 7-angstrom node and beyond. The design uses stacked nanosheet channels and thin dielectric bonding to place transistor layers above one another.

The stacked structure also allows different material combinations to be used within each layer. Each stacked layer can be tuned for different performance and power requirements, according to IBM.

The architecture has been experimentally validated through ultra-thin dielectric bonding in CMOS integration, dual-channel engineering, and functional CMOS inverter operation, according to IBM. The company said the validation work included physical integration and functional CMOS inverter operation.

The company has not said the technology is ready for commercial production. Details on manufacturing yield, production cost, and a confirmed fabrication partner have not been disclosed.

Why SRAM scaling matters

The technology also addresses SRAM, a type of memory used inside processors for fast data access. Research presented at VLSI 2026 showed that nanostack can reduce SRAM cell size by 40%, according to IBM.

On-chip memory does not always shrink at the same pace as logic transistors, leaving SRAM area as a design constraint in advanced processors. Smaller SRAM cells can help chip designers place more memory closer to compute units.

The SRAM figure was presented as part of IBM’s VLSI 2026 research. While performance and energy-efficiency figures are projections for the node, the SRAM figure refers to a scaling result presented as part of that research.

The company linked the SRAM improvement to AI workloads and high-bandwidth data access. It did not name specific products that will use the technology.

Reuters reported that SRAM is heavily used in AI-focused chips from companies including Nvidia, Groq, and Cerebras Systems, which currently rely on TSMC. The company did not say whether any of those firms would use nanostack or whether the technology has been licensed for AI accelerators.

Manufacturing questions remain

The earliest adoption of nanostack technology at the sub-1 nanometer node could come within five years, according to IBM. The company has not announced a manufacturing partner for the technology.

Reuters reported that IBM has previously licensed chip technologies to Samsung and Japan’s Rapidus, but no partner has been announced for nanostack.

The work is being conducted with partners at IBM’s semiconductor research facility in Albany, New York. The site is expected to receive a High Numerical Aperture Extreme Ultraviolet lithography tool, or High NA EUV, from ASML, according to IBM.

High NA EUV is designed to print smaller circuit features with greater precision than current EUV systems. IBM said it has worked with Lam Research, Tokyo Electron, and SCREEN Semiconductor Solutions on High NA EUV processes and tools that have already produced working devices.

IBM and Lam Research announced a five-year collaboration in March 2026 focused on new processes and materials for sub-1 nanometer logic scaling. The work includes High NA EUV process development, along with materials and fabrication techniques needed for smaller logic nodes, according to the companies.

Details on lithography, deposition, etching, bonding, or process-control steps for commercial nanostack manufacturing have not been provided.

Intel moves 18A-P into risk production

Intel said at the 2026 VLSI Symposium that Intel 18A-P, a performance enhancement in the Intel 18A family, had entered risk production. Risk production is an early manufacturing stage before commercial manufacturing.

IBM has not announced a commercial processor, manufacturing partner, or production start date for nanostack.

The company has previously licensed chip technologies to Samsung and Rapidus. It said nanostack provides a path for further scaling, but it has not provided details on production costs, manufacturing yield, or commercial availability.

Details on yield, defect control, design rules, tooling availability, and customer adoption have not been provided.

IBM shares rose more than 6% in premarket trading after the announcement before paring gains to about 1.9%. The stock remains down about 11% for the year.

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