Public semiconductor company
Appears in 19 stories
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 3 days ago
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 the Google DeepMind teams behind AlphaGo and AlphaZero: programs that learned board games entirely through self-play. Silver co-wrote a paper with Richard Sutton, who shared the 2025 Turing Award with Andrew Barto, arguing that systems trained on human data cannot discover genuinely new knowledge.
Updated 5 days ago
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 6 days ago
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
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 supplier at the center of the AI capex cycle
Nvidia reports first-quarter fiscal-2027 earnings after the U.S. market close. Wall Street expects about $78 billion in revenue, with $73 billion of that coming from data centers — roughly one quarterly print equal to the entire annual revenue of Intel.
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
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 18
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
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
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
Building competing open-source robotics foundation models
For decades, industrial robots have been powerful but rigid—they follow pre-programmed instructions and break when the world deviates from what engineers anticipated. Google DeepMind's Gemini Robotics-ER 1.6, released on April 14, 2026, represents the sharpest version yet of a new approach: giving robots the same kind of flexible reasoning that powers chatbots like Gemini, but aimed at understanding and acting in physical space. The model can now read pressure gauges, thermometers, and digital readouts with 98% accuracy when paired with its agentic vision system—a capability that emerged directly from collaboration with Boston Dynamics, whose Spot robot patrols industrial facilities.
Updated Apr 21
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 Apr 1
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 Mar 17
Dominant supplier of autonomous vehicle computing hardware
Nvidia and Uber announced a plan to deploy 100,000 Level 4 autonomous robotaxis across 28 cities on four continents by 2028, using Nvidia's new DRIVE Hyperion 10 computing platform and an open-source reasoning model called Alpamayo. 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.
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, chief executive Jensen Huang unveiled the Vera Rubin platform—a system built around a single graphics processing unit that delivers 50 petaflops of inference compute, roughly five times the performance of its Blackwell predecessor, while claiming to cut the cost of generating each AI token by a factor of ten. In the same keynote, Huang launched NemoClaw, an open-source software platform that lets any company deploy autonomous AI agents across its operations without being locked into a specific cloud provider's hardware.
Updated Mar 16
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 ever being shown that gene. On March 4, the Arc Institute and NVIDIA published Evo 2 in Nature, the largest biological foundation model ever built: 40 billion parameters, a context window of one million nucleotides, and the ability to design synthetic genomes the size of a simple bacterium.
Updated Mar 5
Strategic investor in Ayar Labs; developing own co-packaged optics platforms
Every time engineers double the data rate on a copper wire, electrical noise doubles too, cutting the usable cable length in half. That physics problem is now strangling the AI industry. As graphics processing units (GPUs) push toward 224 gigabits per second per lane, passive copper cables inside data centers can reach less than one meter before the signal degrades. Ayar Labs, a startup born from research at the Massachusetts Institute of Technology (MIT) and the University of California, Berkeley, just closed $500 million in Series E funding at a $3.75 billion valuation to mass-produce chips that replace those copper links with light.
Updated Mar 3
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. At CONEXPO-CON/AGG 2026 in Las Vegas, the company ran a 26,000-pound CS12 soil compactor through live compaction passes with an empty cab—the first time a major equipment maker has demonstrated this level of autonomous operation on a construction machine in a public setting.
Updated Mar 2
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