Nvidia is a US chip company that designs GPUs and AI computing platforms, and its CUDA software stack is widely used to train and run AI models. Recent coverage has centered on its stock and valuation: Apple overtook Nvidia as the world's most valuable company on Oct. 30, and Nvidia shares fell as much as 5.3% that day, with FQ2 revenue of $96 billion, up 106% year over year. Nvidia also plans a $1 billion investment in Naver for a 4.54% stake.
Nvidia CEO Jensen Huang again pushed back on AI doomsday scenarios, saying the technology poses no extinction risk to humanity and putting the chance of the world ending in 2030 at zero. It is his latest public rebuttal of AI existential-risk arguments.
AI data center developer Nscale has filed for an initial public offering in New York to tap into surging AI computing demand. Its partners include Nvidia and Microsoft.
Nvidia, Google and Emerald AI launched the AI Energy Management Alliance (AEMA), which will dynamically manage data center electricity use in response to grid conditions. Emerald AI founder and CEO Varun Sivaram commented on the alliance.
Models across the AI ecosystem run on NVIDIA.
New models and AI labs are emerging all the time. Our CEO @JensenHuang shares the idea behind NVIDIA’s platform: build what the ecosystem needs and help everyone succeed. #AllInSummit
Nvidia's Nader Khalil and Sydney Sykes will speak at TechCrunch Disrupt 2026 on October 13-15 in San Francisco about how startups should choose between open and proprietary AI models. Nvidia says 145 papers at ICML 2026 cited its Nemotron open models, yet frontier proprietary labs keep advancing, and the choice affects cost, infrastructure and differentiation.
Every child’s heart is different. The way doctors plan their care should account for that.
At @ChildrensPhila, open source AI turns existing CT scans, MRIs and 3D ultrasounds into precise models of a child’s heart. A process that once required 6+ hours of man…
Huawei moved up the launch of its next-generation AI chip series, with the Ascend 960DT now slated for Q1 2027 and a 960PR variant in Q3, aiming to replace Nvidia in China and compete globally.
The University of Utah's One-U Responsible AI Initiative will hold a one-day symposium on Oct. 6, bringing together campus and community partners. Topics span environment, health and wellness, and teaching and learning, plus updates from Utah's Responsible AI Community Consortium. NVIDIA founder Chris Malachowsky and the university's Greg Jones will discuss how the Redtail AI factory can expand access to AI and create national impact.
The article recommends two companies supporting AI infrastructure as long-term investments, highlighting networking and chip-design tool providers as central to rising AI spending and noting Arista surpassed $3 billion in quarterly revenue in 2026 and joined the Fortune 500.
Pinterest is testing Restyle in the U.S. and Canada: an AI feature that lets users upload room photos and add, swap, or restyle furniture, decor, lighting, or overall aesthetic. Restyle is powered by Pinterest Intelligence using Nvidia Blackwell GPUs, Dynamo, open-source models, and Pinterest’s own tech to help convert saved inspiration into purchases.
Welcome to Voyager.
From just 32 images of our campus, World Labs’ Atlas model created a new way for you to move through our park in real time, built on NVIDIA’s open platform, choosing where to go and what to see.
@theworldlabs, you made our home look good.…
Reports say Nvidia committed $2 billion to Brookfield’s artificial intelligence fund, underscoring corporate bets on AI infrastructure and fund strategies; the coverage cites Bloomberg via MarketScreener.
Nvidia CEO Jensen Huang expects to sell twice as many chips next year, citing AI adoption across industries and signaling strong demand growth for AI-driven semiconductors.
At Dumfries House in Scotland, our CEO @JensenHuang joined His Majesty The King and global leaders to discuss how AI can serve the public good.
Jensen's message: capability and safety must advance together, expanding opportunity and putting AI to work for peo…
Al Jazeera maps the companies and value chain powering AI, highlighting chip designers and makers, data-center infrastructure, and hyperscalers as the industry's foundation. The piece also covers debates over slowing AI development and regulatory responsibility raised by Anthropic's CEO and political actors.
Nvidia partner GMI Cloud is seeking a $300 million loan to buy chips for its Thailand facility, one of a growing number of similar deals in Asia, reflecting regional financing moves to meet AI compute demand.
Huawei plans to unveil new AI technology this week aimed at challenging Nvidia's dominance in China and competing globally despite U.S. export controls, signaling a push by Chinese firms into high-performance AI chips.
NVIDIA submitted Vera Rubin NVL72 preview results to MLPerf Inference v6.1, showing up to 3.7x higher throughput versus GB300 NVL72 on Qwen3‑VL and reporting GB300 NVL72 achieved 99% scaling efficiency across racks.
Les Karpas of Nvidia explained at TechCrunch Disrupt 2026 that robotics lacks an internet-scale physical dataset analogous to language models, hindering a ChatGPT-style breakthrough; the conference runs Oct 13–15 in San Francisco.
Reports say Apple is developing an enterprise server using its own chips and has discussed networking equipment with NVIDIA to address enterprise AI computing needs.
Emerald AI, Google and NVIDIA launched the AI Energy Management Alliance (AEMA) to advance data centers that dynamically manage power in response to grid conditions, aiming to improve grid utilization, reduce environmental impact and speed AI infrastructure deployment.
Jim Zelter of Apollo discussed partnerships with the New York Yankees and Nvidia, described AI-related capex as unprecedented in scale, and said he expects rates to remain higher for a while.
NVIDIA is advancing native GPU programming in Rust with two tracks: cuda-oxide for SIMT-style kernels (requires nightly toolchain and custom LLVM) and cutile-rs for Tile-based programming (runs on stable Rust 1.89+ with CUDA 13.3). Both enforce compile-time memory safety; cutile-rs is already used in HuggingFace’s Grout and mistral.rs. NVIDIA plans interoperability with CUDA C++ and Python.
Bloomberg profiles Nvidia CEO Jensen Huang, describing him as an AI kingmaker who views himself as a model venture capitalist, highlighting his influence on the AI ecosystem and capital deployment.
Meta CEO Mark Zuckerberg said AI labs should rely on independent evaluators and advisers to ensure model safety; Nvidia CEO Jensen Huang similarly urged making safety a routine part of development and withholding harmful releases. This shows industry leaders favor external review plus internal restraint to manage risk.
The University of Manchester worked with NVIDIA to train Earth-2 generative downscaling models on the UK supercomputer Isambard-AI to forecast nationwide air pollution, producing time-dependent pollution fields without expensive chemistry-based models. The work shows Earth-2 CorrDiff and StormCast can generate scenarios for policy-relevant air quality forecasting and observational assimilation.
After Anthropic's June policy allowing customer usage logs to be retained (30 days normally, up to two years if flagged), Nvidia, Palantir, Booz Allen and others have limited or barred use of Claude Fable 5 for sensitive work. The case shows data-retention terms are becoming a decisive factor for enterprise AI adoption.
A person familiar said Nvidia CEO Jensen Huang is slated to attend a state dinner hosted by President Donald Trump for Chinese leader Xi Jinping.
NVIDIA CEO Jensen Huang announced at Dreamforce that Salesforce’s first CRM reasoning model, Koa, was built by post‑training NVIDIA Nemotron 3 Super; he stressed that safety is paramount and an engineering problem.
Motley Fool highlights Nvidia, Palantir, and Broadcom as three tech stocks that held up well during the last Fed rate hikes, noting Nvidia's strong AI-driven revenue and cash flow.
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