惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - Franky
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
有赞技术团队
有赞技术团队
aimingoo的专栏
aimingoo的专栏
WordPress大学
WordPress大学
人人都是产品经理
人人都是产品经理
酷 壳 – CoolShell
酷 壳 – CoolShell
L
LangChain Blog
Blog — PlanetScale
Blog — PlanetScale
阮一峰的网络日志
阮一峰的网络日志
Microsoft Azure Blog
Microsoft Azure Blog
云风的 BLOG
云风的 BLOG
Google DeepMind News
Google DeepMind News
T
The Blog of Author Tim Ferriss
G
Google Developers Blog
Hugging Face - Blog
Hugging Face - Blog
Y
Y Combinator Blog
D
DataBreaches.Net
Engineering at Meta
Engineering at Meta
MyScale Blog
MyScale Blog
大猫的无限游戏
大猫的无限游戏
S
SegmentFault 最新的问题
The GitHub Blog
The GitHub Blog
Recent Announcements
Recent Announcements

Latest from Tom's Hardware

Our experts review your astonishing PC builds and setups in Rig Rundown — from wall-mounted setups to a system… News outlets are blocking Wayback Machine from archiving their pages — 23 outlets concerned AI companies might abuse fair use and use it to train their models Mark Zuckerberg reportedly working on AI clone of himself — Meta insiders claim 3D photoreal animated Zuck will be able to engage with employees on his behalf Score a massive $700 off this 4K-ready Lenovo gaming PC with an RTX 5070 Ti, now just $1,899 — epic Legion Tower 5i pre-built ships with a 20-core Intel CPU, 32GB DDR5 and a 2TB SSD Pay $1,349.99 for Gigabyte's Aero X16 laptop and save $300 on this 32GB beast with RTX 5070 graphics —… Veteran Windows dev shows off AI running on 47-year-old PDP11 with 6 MHz CPU and 64KB of RAM — 'gloriously absurd' project runs transformer model written in PDP-11 assembly language Half of all US employees now use artificial intelligence at work, crossing landmark threshold for first time — Gallup data shows daily and weekly usage hitting all-time high of 28% in Q1 2026, with 65% feeling positive about its impact on productivity China has spent 3.6 times more than the US on chipmaking subsidies over the past decade — $142 billion and counting, easily outweighs CHIPS Act FAA approves military use of drone-killing laser weapons in US airspace — decision comes after it was decided ‘systems do not present an increased risk to the flying public’ Nvidia says AI cuts 10-month, eight-engineer GPU design task to overnight job — company is still 'a long way' from AI designing chips without human input Small Missouri town ousts half its city council after $6 billion AI data center approval — petition calls for mayor's removal as frustration (and violence) over AI data centers mounts New tech can see a CPU's transistors in action — terahertz radiation can potentially steal data as a chip is… Intel's Nova Lake CPUs gear up to seize AMD’s 3D V-Cache gaming throne — early leak points to up to 52 cores, blazing DDR5-8000 support, and massive 175W TDP Acer Predator GX850 SFX power supply review: Solid electrical performance with good efficiency NZXT to cough up $3.45 million over 'predatory' Flex PC rental scheme in RICO class-action settlement — in-debt customers to get up to $5,000 of relief, eligible renters to be granted ownership Bulbous 15x fan PC case side panel dubbed the ‘Superdome’ lowers temps by 20 degrees —  $600 worth of Noctua fans arrayed in 3D-printed structure Approvals for Nvidia and AMD AI chip exports to China stall under government bottleneck —  20% staff turnover… Espresso Lite 15 Review: An entry-level portable monitor with a splash of color Save a massive $700 on this 4K-ready HP gaming PC with a 9800X3D and RTX 5070 Ti, now just $2,499 — discounted HP Omen 35L pre-built powerhouse ships with 32GB DDR5 RAM and a 1TB SSD 'CopprLink' destroys every eGPU standard in new test, achieves near-native-level performance with an RTX 5090 — setup requires $2,300 worth of additional hardware Website backup crippled by 1.6MB Friends GIF that was replicated 246,173 times, breaking Linux's EXT4 filesystem limit — Jennifer Aniston's 'happy dance' animation ate up 377 gigabytes of data due to security policy Why we spent 50+ hours retesting Intel’s Core Ultra 270K Plus and 250K Plus Just $284.99 for 32GB of Team T-Create Classic DDR5-6000 RAM is the cheapest going right now — this double-dipping… Grab MSI’s RTX 5080 gaming laptop for just over $2,000 — offers fast 240 Hz QHD+ display, dual storage slots, and expandable DDR5 memory Lenovo hikes Legion Go 2 handheld gaming PC to almost $3,000 for 2 TB model — Handheld now costs more than AMD's Strix Halo devices despite relatively weaker Z2 Extreme chip Iran's forced nationwide internet blackout becomes second-longest on record as it passes 1,000 hours offline — possessing Starlink terminals punishable by death, country using 'military-grade jamming' against service Tiny 3-inch cube PCs bring a splash of color to the passive PC market with red, orange, green and blue options — Intel Twin Lake-powered Kubb Mini PCs start at $500 Veteran Microsoft engineer says original Task Manager was only 80KB so it could run smoothly on 90s computers — original utility used a smart technique to determine whether it was the only running instance Tech enthusiast gets Doom to run on a 40-year-old printer controller — ancient Agfa Compugraphic 9000PS came with a Motorola 68020 onboard for fast processing Keychron Q6 Ultra 8K Review: 660 hours of battery life at 8 KHz
IBM goes sub-1nm, develops 0.7nm-class technology — offer...
https://www.tomshardware.com/author/anton-shilov · 2026-06-26 · via Latest from Tom's Hardware
IBM
(Image credit: IBM)

IBM on Thursday said it has produced the first test chip using its 0.7nm-class (7 angstroms) fabrication technology, the industry's first sub-1nm manufacturing process. The concept process technology relies on the so-called nanostack transistors and promises rather dramatic power, performance, and area (PPA) gains compared to IBM's 2nm-class node. To produce nanostack transistors, IBM uses two wafers instead of one, along with ultra-thin dielectric bonding, an arrangement that has never been used before.

IBM's 7A-class (or 0.7nm-class) fabrication process based on nanostack transistors is said to offer up to 50% higher performance and 70% higher energy efficiency compared to IBM's 2nm-class node based on nanosheet gate-all-around transistors the company introduced in 2021. Perhaps more importantly, IBM's nanosheet architecture provides a 40% higher SRAM density and even higher density improvements for logic transistors, gains that are extremely hard to achieve these days.

Such massive gains have been enabled by numerous innovations, but the key enabler is IBM's nanostack transistor architecture, which conceptually resembles CFETs and stems from GAA nanosheet transistors.

Two wafers instead of one

In modern process technologies, all logic transistors live in one active device tier, and NFETs and PFETs sit side by side laterally in the standard-cell layout. Nanosheet GAA transistors feature a more advanced internal geometry, but they still reside in this single-transistor tier, which gets harder to shrink with every generation.

IBM

(Image credit: IBM)

IBM's nanostack concept seems to separate complementary n-type and p-type transistors into vertically bonded tiers instead of placing them side by side in a single transistor layer. The payoff is a major reduction in the lateral footprint of a CMOS pair, as the architecture effectively turns one NFET+PFET structure from a 2D layout into a 3D stacked layout, which is why IBM can claim roughly double transistor density versus its 2nm research node without relying on conventional planar shrink.

While conceptually IBM's nanostack transistors resemble CFETs, the way IBM builds its nanostacks is fundamentally different compared to monolithic CFETs proposed by various chipmakers and organizations. N-type and p-type transistors are fundamentally the same kind of transistor used as complementary partners in CMOS logic, but they differ in carrier type (electrons for n-type and electron holes for p-type), switching polarity, and electrical behavior, which is why advanced process technologies tend to optimize them separately. However, these n-type and p-type transistors are made on the same wafer using essentially the same materials, so the level of their optimization is limited today.

IBM

(Image credit: IBM)

Instead of building n-type and p-type transistors on the same wafer using the same materials, IBM builds them separately on different wafers and integrates them together using ultra-thin dielectric bonding in CMOS integration. This enables the company to optimize n and p-type channels independently, as each tier now can use different process conditions, different channel materials, different strain engineering, or even different geometries (though images from IBM indicate that the geometry of different transistors is the same).

Get Tom's Hardware's best news and in-depth reviews, straight to your inbox.

As we see with all new process nodes, the nanometer-scale measurement doesn't coorelate to the physical dimensions of the device, but this remains a tremendous achievement.

Numerous caveats

Using two wafers for active transistor tiers instead of one could let IBM stack NFETs and PFETs vertically and optimize them independently, but such a method comes with a number of caveats that do not exist today with single-tier logic nodes.

IBM

(Image credit: IBM)

The biggest issues are alignment and bonding yield, because two advanced logic wafers must line up with extreme precision, and any defect at the bond interface can kill the stack. Secondly, routing and power delivery could get more complex with two active device tiers. Thirdly, cooling gets harder now that one active tier sits farther from the heat sink. Last but not least are the costs. IBM has to pay for two advanced FEOL wafers, additional bonding and thinning steps, and manage higher process complexity and likely lower yields. As a result, the whole concept only makes sense if the density, SRAM, and performance-per-watt gains are large enough to offset manufacturing difficulties and cost penalty. IBM says nothing about costs and manufacturability, and the test chip it has completed is the size of a fingernail,' so not hard to make by today's standards. Meanwhile, it is highly likely that the approach only makes sense for heavy-duty data center AI solutions (which are near reticle size) and not for mainstream processors for client applications. For others, monolithic CFETs can do the job.

On the bright side, IBM's 7A-class fabrication process does not rely on High-NA EUV lithography, as there are simply no such tools at the semiconductor research facility in Albany, New York, where IBM develops its technologies. Usage of proven Low-NA EUV systems makes it easier to get high yields now. Meanwhile, it remains to be seen how IBM's dual wafer approach works with High-NA EUV scanners that have half the exposure field compared to Low-NA EUV machines and therefore require field stitching, which does not really help yields. IBM implies that its next-generation nodes will use High-NA EUV lithography, so the company probably has ideas how to wed these new tools with its approaches to transistor designs.

In production in the next five years

When dealing with IBM's manufacturing technologies, one has to keep in mind that these are not fabrication processes that can be licensed and rapidly deployed at a high-volume fab, but are essentially a set of pre-competitive IPs, patents, and some R&D know-how that can be used to design an actual production node. For example, Rapidus licensed IBM's 2nm-class process, though it has yet to prove that it can create a competitive high-volume node.

IBM

(Image credit: IBM)

IBM believes nanostack could make sense for sub-1nm generations and potentially enter mass production within the next five years.

Google Preferred Source

Follow Tom's Hardware on Google News, or add us as a preferred source, to get our latest news, analysis, & reviews in your feeds.

Anton Shilov is a contributing writer at Tom’s Hardware. Over the past couple of decades, he has covered everything from CPUs and GPUs to supercomputers and from modern process technologies and latest fab tools to high-tech industry trends.