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

V
Visual Studio Blog
罗磊的独立博客
宝玉的分享
宝玉的分享
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
V
V2EX
酷 壳 – CoolShell
酷 壳 – CoolShell
T
Tailwind CSS Blog
博客园_首页
量子位
月光博客
月光博客
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 司徒正美
人人都是产品经理
人人都是产品经理
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
爱范儿
爱范儿
S
SegmentFault 最新的问题
雷峰网
雷峰网
小众软件
小众软件
博客园 - 聂微东
美团技术团队
Apple Machine Learning Research
Apple Machine Learning Research
WordPress大学
WordPress大学
Jina AI
Jina AI
Hugging Face - Blog
Hugging Face - Blog

Latest from Tom's Hardware in Artificial-intelligence

Denmark presses pause on new data center grid connections as total requests hit 60 GW — Nordic nation is the latest to put the brakes on AI buildouts Microsoft says 'Transformation Paradox' holding back AI adoption in the workplace — 45% of respondents say it's safer to focus on current goals, rather than AI innovation Palantir co-founder Peter Thiel backs $140M wave-powered AI data center startup — Panthalassa aims to run offshore… Google, Microsoft, and xAI agree to let US government test AI models before public release — OpenAI and Anthropic also on board after renegotiating deals with Washington Nvidia CEO Jensen Huang says China should not have Blackwell or Rubin AI GPUs — firmly states US should have 'the first, the most, and the best' when it comes to AI hardware China pushes for 70% homegrown silicon wafer use as domestic firm ramps up 12-inch production — government seeking to localize critical chip supply chain amid AI boom and export restrictions Intel swipes Qualcomm veteran of 25 years to lead client computing — Alex Katouzian jumps ship to oversee consumer… Trump administration considers mandatory pre-release vetting of AI models — Anthropic's Mythos cited as… Nvidia's exposure to Asian supply chains for components hits 90% of its production costs — marked increase from 65% could intensify as physical AI adds even more exposure Anthropic in early talks to buy DRAM-less AI inference chips from UK startup — Fractile's SRAM architecture reduces need for pricey memory during extreme pricing and shortage crunch Chinese court rules companies can't fire workers just because AI is cheaper — ruling says automation alone… Jensen says Nvidia now has 'zero percent' market share in China — says US export policy 'has… US Navy signs deal with AI firm for training underwater drones to detect mines in Strait of Hormuz — $100 million would allow drone minesweepers to update their detection algorithms in days instead of months The Pentagon announces AI deals with OpenAI, Google, Microsoft, Amazon, Nvidia, and more — LLMs to be deployed on classified Department of War networks ‘for lawful operational use’ SoftBank plans robotics and AI firm in the US to build data centers — aims for $100 billion valuation and an IPO… Huawei could seize China’s AI chip crown in 2026 as Nvidia's H200 shipments stall in regulatory limbo — Beijing pushes homegrown AI hardware dominance in a market projected to hit $67 billion by 2030 Talent over tokens: AI models are becoming more expensive to run, and productivity gains are limited — efficient workers might be the solution to strained budgets Samsung and SK hynix warn AI-driven memory shortages could last until 2027 and beyond, as HBM demand explodes — customers already reserving supply years ahead, while the wider DRAM market begins to tighten Victim of AI agent that deleted company's entire database gets their data back — cloud provider recovers critical files and broadens its 48-hour delayed delete policy Exploding number of AI data center build-outs delay Texas housing projects — data centers' high demand for electricians prices out contractors, homes now take two months longer to complete Meta's multi-billion-dollar Graviton deal highlights intensifying CPU shortages in AI infrastructure — the industry signals a shift to Agentic inference workloads, pushing demand OpenAI has effectively abandoned first-party Stargate data centers in favor of more flexible deals — company now prefers to lease compute and says Stargate is an umbrella term Google signs classified Pentagon AI deal but exits $100 million drone swarm program — report claims employees revolted over ethical fears, delivered letter to CEO Pichai Nvidia exec says AI is more expensive than actual workers — yet some companies don't see the extra costs as a… Meta will beam sunlight from space to power AI data centers, solar-collecting satellites will orbit 22,000 miles above Earth — firm reserves 1 Gigawatt of orbital solar energy and 100 Gigawatt-hours of long-duration storage Market slumps as OpenAI reportedly misses internal targets for active users and revenue — Nvidia, Oracle, AMD, and CoreWeave shares all tremble on the news OpenAI and Microsoft News site linked to OpenAI super PAC sent bots posing as journalists to interview real people — site has published nearly 100 articles with real quotes gathered by fake writers Claude-powered AI coding agent deletes entire company database in 9 seconds — backups zapped, after Cursor tool… DeepSeek launches 1.6 trillion parameter V4 on Huawei chips as U.S. escalates AI theft accusations — U.S. gov't alleges IP theft by DeepSeek and other Chinese AI firms
SoftBank subsidiary working with Intel to develop radical...
Etiido Uko · 2026-04-24 · via Latest from Tom's Hardware in Artificial-intelligence
Chips
(Image credit: Shutterstock)

SAIMEMORY, a SoftBank Corp subsidiary in partnership with chip giant Intel, announced that Japan’s New Energy and Industrial Technology Development Organization (NEDO) had selected its next-generation ZAM memory technology development project for government subsidies that may cover a huge part of the project's development costs.

ZAM (Z-Angle Memory) is a potential next-generation alternative to existing AI memory technology, which is designed to be a power-efficient HBM (high-bandwidth memory). It was selected as part of NEDO’s Post-5G Infrastructure Enhancement R&D Project.

Article continues below

Intel Headquarters, with people walking by

(Image credit: Getty Images / Justin Sullivan)

In early 2025, we reported the Intel-SoftBank collaboration to develop a power-efficient HBM alternative for AI data centers through SoftBank's subsidiary, SAIMEMORY. More recently, we also covered Intel’s involvement in co-developing ZAM, a vertically oriented memory concept that promises higher capacity, greater bandwidth, and significantly lower power consumption compared to conventional approaches.

The driving force behind all of this is a growing constraint in AI systems: memory.

Modern AI workloads demand enormous data throughput between processors and memory. While GPUs have advanced rapidly, memory systems have struggled to keep pace. Today’s standard solution is high-bandwidth memory (HBM) — a form of DRAM (dynamic random access memory) that is vertically stacked and tightly integrated with processors to deliver high speeds.

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

However, HBM comes with trade-offs: complex, costly manufacturing; reliance on precise die stacking and bonding; and limited supply dominated by a few vendors -

ZAM, a form of DRAM itself, redesigns the structure. Instead of the conventional stacked-and-bonded approach used in HBM, ZAM proposes a vertical memory architecture with a different spatial arrangement and a non-contact, or “wireless,” interconnect between memory layers, thereby improving thermal characteristics by reducing physical constraints.

SAIMEMORY claims the design could deliver higher effective density, increased bandwidth, and around 40% lower power consumption compared to traditional HBM.

If ZAM works, it could directly compete with HBM in a massive and fast-growing market, reduce power consumption in AI data centers for substantial cost savings, and ease supply constraints through a more scalable manufacturing approach.

However, the technology remains at an early prototype stage, with a projected path to mass production around 2029. Historically, many “next-generation” memory concepts have failed to progress beyond lab demonstrations, making execution the key uncertainty.

The NEDO-supported program is expected to run for approximately 3.5 years, with SAIMEMORY planning to invest around JPY 8 billion (USD 5 million) through fiscal 2027 to develop working prototypes. The longer-term goal is to establish mass production by around 2029.

That places ZAM firmly in the next-generation memory cycle, rather than as an immediate replacement for current HBM deployments. In the meantime, incumbent memory manufacturers are continuing to evolve HBM with higher stack counts and improved efficiency.

NEDO’s support signifies the Japanese government’s intention to re-enter the chip and semiconductor market — amid skyrocketing AI demand — which it had dominated before Taiwanese and South Korean manufacturers took over market share.

“We view the selection of this Project under the NEDO program as a significant milestone in demonstrating Japan-originated next-generation memory technology to the world. ZAM represents an innovative architecture that achieves both the performance and power efficiency required in the AI era and in anticipation of the accelerating AI supercycle. Through collaboration with Intel, RIKEN, and our investors, as well as other domestic and international partners, we aim to contribute to strengthening the global competitiveness of Japan’s semiconductor industry,” Hideya Yamaguchi, President & CEO of SAIMEMORY.

SAIMEMORY’s development program is backed by a consortium that includes SoftBank, Fujitsu, RIKEN, and the Development Bank of Japan, alongside government support via NEDO.

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.

Etiido Uko is an engineer and technical writer with over nine years of experience in documentation and reporting. He is deeply passionate about all things gadgets, technology, and engineering.