NVIDIA AI News - Page 5 of 10

Why does a Waymo robotaxi’s encounter with a child matter now? The crash happened in a busy school‑zone corridor, exactly when families are shuttling...

NVIDIA’s latest hardware push is more than a headline; it’s a concrete test of how far inference performance can be stretched when architecture,...

Kubernetes has become the go‑to platform for scaling GPU workloads, but the moving target of driver releases, kernel tweaks and NCCL optimizations...

Nvidia just turned another page in the MLPerf scorebook, cranking out record‑setting numbers by running its B200 and B300 models on a 288‑GPU...

Why does on‑device customization matter now? While large language models grow bigger, many teams still need a version that runs locally, respects...

OpenAI’s latest rollout swaps Nvidia‑based hardware for Cerebras’s wafer‑scale chips, promising code‑generation speeds up to fifteen times faster...

OpenAI just pulled in a staggering $110 billion, a cash infusion that reads like a who’s‑who of tech heavyweights: $30 billion from SoftBank, another...

NVIDIA’s latest push into synthetic‑data pipelines arrives at a time when developers are hunting for reliable ways to train robots and autonomous...

Nvidia’s latest method claims an eight‑fold drop in the compute needed for large‑language‑model reasoning, yet it says accuracy stays intact.

Why does this matter? Because the term “hallucination” has become a shorthand for a persistent flaw in large language models—outputs that sound...

Why does this matter now? A wave of capital has landed on OpenAI from three of the world’s biggest tech financiers—Amazon, Nvidia and Softbank.

Why should anyone care whether a robot writes its own code? In the field of robot control, most recent breakthroughs lean on hand‑crafted...

Nvidia’s latest open‑weights offering, Nemotron 3 Super, stitches together three distinct model architectures in a single package.

NVIDIA’s new Warp library is aimed at the part of the AI pipeline that still feels like a research‑only playground: differentiable simulations that...

Why does this matter? Because a new generation of sky‑watching infrastructure finally moved from testing to real‑time operation, and the volume of...

Six‑generation research is moving from theory to testbeds, and engineers need more than rough‑cut models to prove concepts at scale.

Regulators have zeroed in on AI‑generated deepfakes, treating them as the headline threat to public discourse.

Samsung has finally put a calendar on the wall for its next Galaxy Unpacked, a move that usually draws a flood of hardware rumors and developer...

Why does the push for real‑time AI matter now? Enterprises are staring at a cost cliff: inference for massive‑scale models can chew through budgets...

Why does the data matter for a model billed as an “open hybrid Mamba‑Transformer MoE for agentic reasoning”?