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

G
Google Developers Blog
F
Fortinet All Blogs
Microsoft Azure Blog
Microsoft Azure Blog
腾讯CDC
Vercel News
Vercel News
Recent Announcements
Recent Announcements
博客园 - Franky
小众软件
小众软件
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
The Cloudflare Blog
宝玉的分享
宝玉的分享
I
InfoQ
博客园 - 聂微东
Jina AI
Jina AI
J
Java Code Geeks
V
V2EX
U
Unit 42
Stack Overflow Blog
Stack Overflow Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
阮一峰的网络日志
阮一峰的网络日志
L
LangChain Blog
T
The Blog of Author Tim Ferriss
量子位

Latest from Tom's Hardware in Artificial-intelligence

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 NEO Semiconductor's revolutionary 3D X-DRAM for AI processors has passed proof-of-concept validation — company secures funding to develop next-gen memory HBM alternative
Nvidia invests $300 million in Corning to build three new...
Anton Shilov · 2026-05-07 · via Latest from Tom's Hardware in Artificial-intelligence
Optical fibers
(Image credit: Shutterstock)

When you have a dominant position in an industry, you should think not only about the competitiveness of your product, but also about eliminating bottlenecks in the sector to ensure smooth deployment of your hardware. This is exactly what Nvidia is doing by investing $300 million in Corning, enabling it to build three additional manufacturing facilities in the U.S. to produce optical fiber used to build AI data centers. As an added bonus, Nvidia will assume control of a significant part of American fiber production.

The long-term agreement will see the construction of three new facilities in North Carolina and Texas to produce optical fiber, which will be supplied to builders of hyperscale data centers that deploy Nvidia AI hardware. As a result, Corning will increase its U.S. optical connectivity manufacturing output by a factor of 10 and expand domestic fiber production capacity by over 50%. The plants are expected to employ 3,000 people.

Modern AI workloads require hundreds of thousands of AI accelerators working in concert and moving data at unprecedented scale. The only way to meet bandwidth and latency requirements for such deployments is to use optical fiber and photonics hardware for connectivity. As a result, the role of optical networking for AI data centers is hard to overestimate, and the skyrocketing demand for optical fiber at scale is easy to predict.

Go deeper with TH Premium: AI and data centers

Corning is known for its expertise in glass science and optical physics and as the world's largest maker of optical cables with a 10.4% market share. With those credentials, the company is a good partner to fulfill that demand, so Nvidia's decision to team up with it is not surprising. Meanwhile, the press release by the two companies clearly states that the new plants will supply the optical connectivity hyperscale data centers use to deploy Nvidia-accelerated computing at scale,' so instead of helping the whole industry to get optical fiber, the company only helps the part of the industry that relies on its own hardware.

"AI is driving the largest infrastructure buildout of our time — and a once-in-a-generation opportunity to reinvigorate American manufacturing and supply chains," said Jensen Huang, founder and CEO of Nvidia. "Together with Corning, we are inventing the future of computing with advanced optical technologies — building the foundation for AI infrastructure where intelligence moves at the speed of light while advancing the proud tradition of Made in America."

By investing in Corning, Nvidia not only ensures its partners will have enough optical fiber, but also gains control over a significant chunk of U.S. optical fiber production capacity, which is a good way to ensure the company's dominance in the American AI sector going forward.

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.

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

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.