Nvidia

396 stories

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 outlines three keys to AI factory ROI

NVIDIA says AI factories cost roughly $60 million per megawatt, and returns hinge on earning capacity, useful hardware life and demand. It pitches its AI factories as productive, durable and fungible, using full-stack codesign to maximize throughput and returns.

NVIDIA Blog ·

NVIDIA Opens 2027–2028 Graduate Fellowship Applications, Up to $60,000

NVIDIA is accepting applications for its 26th Graduate Fellowship Program, offering up to $60,000 per doctoral student in AI, machine learning, autonomous vehicles, robotics and related fields. Since 2002, over 220 grants worth about $8 million have been awarded. Deadline is October 30, 2026, with a mandatory summer 2027 internship.

NVIDIA Blog ·

NVIDIA and CoreWeave Partner for Agentic AI Production

At CoreWeave Fully Connected, CoreWeave announced production availability of NVIDIA Vera Rubin NVL72 systems with Spectrum-X Ethernet networking, with Cognition as the first customer running production workloads. Early tests showed Vera Rubin achieving 4.8x higher token throughput versus GB200 NVL72. CoreWeave also launched CoreWeave Forge and plans to offer NVIDIA Vera, a CPU built for AI agents.

NVIDIA Blog ·

White House Hosts AI Execs; Congress Keeps Hands Off Regulation

Trump met at the White House with tech leaders including Jensen Huang, Mark Zuckerberg, Dario Amodei and Jeff Bezos, while Speaker Johnson resisted AI regulation and the Senate skipped a Democratic-backed regulatory bill. The White House then released a Joint Commitment on Frontier Responsibilities, saying each company is responsible for safe development and that laws may be codified over time.

Roll Call ·

NVIDIA releases Kumo Tabular foundation model

NVIDIA released Kumo Tabular, an open foundation model for tabular classification and regression that predicts in a single forward pass with no training, tuning, or feature engineering. It comes in three sizes (28M to 215M parameters), is released under the OpenMDW-1.1 commercial license, and ranks first on four benchmarks including TabArena.

Hugging Face Blog ·

Opinion: AI and Credit Cards — Who Pays the Debt?

The article compares AI to credit cards, noting both are initially thrilling but have hidden costs that emerge later. AI's hidden costs include electricity and water for data centers; a planned world's largest data center in Ohio would consume 8-10 gigawatts. The author calls for responsible AI use and questions whether competition should be constrained.

The News-Gazette ·

AI majors shift to risk aversion as Nvidia launches agent safety platform

Major AI players are shifting from speed to safety: Nvidia rolled out a software platform to contain AI agents, OpenAI scrapped GPT-6.1 Astra over safety concerns, and Anthropic released Sonnet 5.5, stressing it improves existing tasks rather than pushing capability frontiers. Nvidia also announced a $150 billion buyback, lifting its shares, while Michael Burry warned the AI bubble may burst sooner than later.

CNBC ·

Gecko CEO: Physical AI needs humans in control

Gecko Robotics CEO Jake Loosararian says the next phase of AI safety is keeping humans in control as autonomous systems enter the physical world. He discussed his company's work with Nvidia on an open agent safety platform designed to set boundaries for AI agents operating robots, including in military and industrial settings, arguing safety and rapid deployment need not conflict.

Bloomberg ·
Load more