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Nvidia Corporation

Nvidia Corporation

Chipmaker and investor

Appears in 21 stories

Stories

PhysicsX raises $300 million to put AI inside industrial engineering

Money Moves

Existing backer through its venture arm

Engineers spend weeks running simulations to learn how a jet engine, a turbine blade, or a chip will behave under heat and stress. PhysicsX, a London startup, says its AI can return similar answers in seconds. On June 9, 2026, it closed a $300 million Series C round that values it at about $2.4 billion.

Updated Yesterday

The AI capital expenditure cycle

Money Moves

Reported record Q1 FY2027 revenue of $81.6 billion; guiding Q2 to $91 billion. Effectively excluded from China's data-center market after H200 licensing program produced no revenue.

Nvidia reported Q1 fiscal-2027 revenue of $81.6 billion on May 20, beating Wall Street's $78 billion consensus by $3.6 billion. Data center revenue hit $75 billion, up 92% from a year earlier. The company guided Q2 to $91 billion, above the $85 billion estimate, but the stock closed down 1.8% the next day as analysts said the beat was already priced in.

Updated 7 days ago

Nvidia enters Windows PC chip market with N1X Arm processor

New Capabilities

First entry into mainstream Windows PC CPU market

For four decades, the Windows PC has run on x86 chips from Intel or AMD, but on June 1 in Taipei, Nvidia put that arrangement on notice. CEO Jensen Huang unveiled the N1X, a 20-core Arm processor built with MediaTek and paired with a Blackwell GPU carrying 6,144 CUDA cores.

Updated Jun 1

Frontier AI funding rounds reach unprecedented scale in 2026

Money Moves

Participated in Ineffable's seed round; in May 2026 announced a formal engineering partnership to co-design reinforcement learning infrastructure on Grace Blackwell chips

In April 2026, London AI lab Ineffable Intelligence raised $1.1 billion at a $5.1 billion valuation, the largest seed round in European history. The founder, David Silver, is a University College London professor who led Google DeepMind's AlphaGo and AlphaZero, programs that learned board games entirely through self-play.

Updated May 31

AI foundation models give robots the ability to see, reason, and act in the physical world

New Capabilities

Building competing open-source robotics foundation models

For decades, industrial robots have been powerful but rigid. Google DeepMind's Gemini Robotics-ER 1.6, released April 14, 2026, is the latest version of a new approach: it gives robots the flexible reasoning that powers chatbots, tailored to understand and act in physical space. Paired with an agentic vision system, it reads pressure gauges, thermometers, and digital readouts with 98% accuracy—a capability that emerged from collaboration with Boston Dynamics, which deploys the Spot robot in industrial facilities.

Updated May 31

Nvidia builds an AI empire through billion-dollar ecosystem investments

Money Moves

Deploying capital to build a vertically integrated AI ecosystem

In ten months, Nvidia has poured roughly $14 billion into six companies that supply the chips, networking gear, optical links, and cloud capacity its artificial intelligence platform depends on. The latest: a $2 billion stake in Marvell Technology, the custom-chip designer behind Amazon's Trainium and Microsoft's Maia accelerators, announced March 31, 2026. Marvell's stock jumped 13% on the news.

Updated May 30

The race to build data centers in orbit

New Capabilities

Platform provider for orbital AI computing

Earth observation satellites generate petabytes of imagery every day, but only about two percent of it ever reaches the ground. The bottleneck is physics: a satellite in low Earth orbit gets maybe ten minutes of ground-station contact per pass, and radio bandwidth cannot keep up with sensor resolution that doubles every few years. Nvidia's answer, announced at its annual developer conference on March 17, 2026, is to stop trying to move the data down and instead move the AI up. The Vera Rubin Space-1 Module packs 25 times the compute power of Nvidia's H100 chip into a radiation-hardened package designed to run large language models and foundation models directly in orbit.

Updated May 30

Autonomous vehicles move from pilot programs to mass deployment

New Capabilities

Dominant supplier of autonomous vehicle computing hardware

Nvidia and Uber announced plans to deploy 100,000 Level 4 autonomous robotaxis across 28 cities on four continents by 2028, using Nvidia's new DRIVE Hyperion 10 platform and Alpamayo, an open-source reasoning model. Five automakers—BYD, Geely, Stellantis, Lucid, and Mercedes-Benz—will manufacture vehicles with Nvidia's hardware pre-installed. Commercial rides begin in Los Angeles and San Francisco in the first half of 2027.

Updated May 30

Nvidia's generational GPU leaps reshape who controls AI infrastructure

New Capabilities

Dominant AI chip supplier, expanding into enterprise AI software

Nvidia has spent four years on an annual architecture cadence that no semiconductor company has sustained before. At GTC 2026, Jensen Huang unveiled Vera Rubin (a single-GPU system delivering 50 petaflops, five times Blackwell's performance, at one-tenth the cost per token) and NemoClaw, an open-source platform letting companies deploy autonomous AI agents without cloud-provider lock-in.

Updated May 30

AI models learn to read, predict, and write the genetic code of life

New Capabilities

Infrastructure partner and co-developer of Evo 2

It took thirteen years and $2.7 billion to read the first human genome. Now a single AI model, trained on 9 trillion DNA base pairs from more than 128,000 species, can predict whether an uncharacterized mutation in a breast cancer gene is dangerous with 90 percent accuracy without being trained on that gene.

Updated May 30

The race to replace copper inside AI data centers

New Capabilities

Strategic investor in Ayar Labs; developing own co-packaged optics platforms

When engineers double a copper cable's data rate, electrical noise doubles and usable length halves—strangling the AI industry. As graphics processing units (GPUs) push toward 224 gigabits per second per lane, passive copper cables inside data centers reach less than one meter before the signal degrades.

Updated May 30

Autonomous machines move from mines to construction sites

New Capabilities

Technology partner powering Caterpillar's edge AI and autonomy systems

For more than three decades, giant autonomous trucks have hauled billions of tonnes of rock out of mines with no one behind the wheel. Now Caterpillar, the world's largest construction equipment manufacturer, is moving that technology to ordinary job sites.

Updated May 30

OpenAI assembles record private funding round

Money Moves

Finalized $30B equity investment and committed to providing 5GW of Vera Rubin capacity to OpenAI

After the $122 billion round closed in April, OpenAI ended its Azure cloud exclusivity and capped Microsoft's revenue share at $38 billion through 2030. On May 18, a jury dismissed Elon Musk's suit seeking $134 billion and the reversal of OpenAI's for-profit structure.

Updated May 29

Big tech's half-trillion-dollar AI bet

Money Moves

Secures photonics supply chain with $4B investments amid hyperscaler capex surge

The four largest cloud providers—Microsoft, Meta, Alphabet, and Amazon—are tracking toward over $720 billion in combined AI infrastructure spending for 2026, up sharply from $410 billion in 2025. All four reported first-quarter results on April 29, 2026. Microsoft delivered the clearest signal: $77.7 billion in revenue (up 18% year-over-year), Azure cloud growth of 40% (above its 37% guidance), and earnings per share of $4.13 versus analyst estimates of $3.67.

Updated May 26

AI chip testing becomes a strategic bottleneck

New Capabilities

Primary driver of AI chip testing demand

Advantest, a Japanese company most people have never heard of, just posted record quarterly sales. Its stock now moves in near-lockstep with NVIDIA's because every advanced AI chip must pass through test equipment before it ships—and Advantest controls nearly 60% of the global market for these machines.

Updated May 23

China's $1.2 trillion pivot

Money Moves

Subject to new semiconductor export rules

China posted a $1.2 trillion trade surplus for 2025, the largest any country has ever recorded. The number is roughly equal to Indonesia's GDP, the world's 16th-largest economy.

Updated May 21

The packaging pivot: why AI's real bottleneck isn't chips—it's putting them together

Built World

Primary customer driving HBM demand; claimed exclusive HBM4 access through 2026

For decades, chip packaging was the unglamorous final step—stacking and connecting silicon dies after the real engineering was done. Now it's the constraint holding back AI.

Updated May 20

The race to build AI's physical foundation

Built World

Dominant AI GPU supplier facing Meta AMD diversification, $51.2B datacenter revenue Q3 2025

ChatGPT's November 2022 launch triggered the fastest infrastructure buildout in tech history. Hyperscalers are now on track to spend over $1 trillion in 2026, exceeding the GDP of all but 10 countries.

Updated May 19

Nvidia's $20 billion Groq deal: the AI inference land grab

New Capabilities

Acquiring Groq's assets and team for $20B

On Christmas Eve 2025, Nvidia paid $20 billion for Groq's assets—nearly triple the AI chip startup's $6.9 billion valuation from three months earlier. The deal brings Groq's founder Jonathan Ross, who created Google's original Tensor Processing Unit, and his breakthrough inference technology into Nvidia's fold. It's Nvidia's largest acquisition ever, nearly three times bigger than its $7 billion Mellanox purchase.

Updated May 16

Trump reopens China to Nvidia’s H200—now Congress wants the national-security math

Rule Changes

Seller of the H200 chip; lobbying for access to China while navigating export-control swings

The Trump administration just did the thing Washington has spent years swearing it wouldn't do: let China buy a near-top-tier Nvidia AI chip again. Now a China hawk in Congress is demanding the Commerce Department explain, in detail, why this isn't a strategic own-goal.

Updated May 15

The race to build non-Nvidia AI inference chips

Money Moves

Incumbent the entire challenger field is trying to displace

Nvidia sells roughly four out of every five chips running today's large AI models. Investors are now writing nine-figure checks on the bet that the workload coming next, running those models rather than training them, will move to different silicon.

Updated May 13