NVIDIA AI News - Page 20 of 28
541 articles • Page 20 of 28
NVIDIA puts USD 150 M into Baseten, backing Jensen Huang’s inference‑first pivot
Jensen Huang has a new mantra: inference is the future. Not training, not the brute-force calculus of building ever-larger models, but the quiet,...
NVIDIA GB300 NVL72 Achieves Record MoE Pre-Training Performance
NVIDIA's GB300 NVL72 system trained DeepSeek-V3, a 671-billion-parameter model, at 1,648 TFLOPs per GPU, a new record for mixture-of-experts...
Cursor Open-Sources Mixture-of-Kittens, a Megakernel for MoE Training
Cursor Research put its mixture-of-experts training code out in the open this week, releasing Mixture-of-Kittens, or MoK, on GitHub under an...
Vercel's Free 'Is Agentic' Tool Audits Sites With 100+ Ora Checks
Vercel launched Is Agentic this week, a free tool that scores whether AI agents can actually find, load, and use a given website.
Google's upgrade teaches zero-shot selection, embeddings, QA workflows
The race for raw AI speed is blinding. Just look at OpenAI's new GPT-5.3-Codex-Spark, hitting over a thousand tokens per second on Cerebras hardware.
Nvidia’s Huang pledges USD 2B for Europe, USD 250M for UK AI safety
Jensen Huang spent the week handing out Nvidia's money across Europe. The company's CEO landed in Paris and announced $2 billion in new investments...
NVIDIA invests USD 2 billion in Synopsys, pairing CUDA stack with EDA tools
NVIDIA just wired two billion dollars into the chip design business. The target is Synopsys, the company that makes the tools engineers use to design...
Meta's New AI Model Scores Solutions to Complex Instructions
Meta released Muse Spark 1.2 this week, its latest open-weights model, paired with the company's first dedicated coding agent.
Yann LeCun‑linked startup challenges LLM orthodoxy after leaving Meta
Yann LeCun has a word for the AI establishment: LLM-pilled. Since leaving Meta in November, the pioneering researcher has waged a public war on the...
NVIDIA AI Infrastructure Powers OpenAI's GPT-6 Astra Speed
OpenAI switched on a faster version of its GPT-6 Astra model this week, and the speed comes straight from NVIDIA's Blackwell GPUs.
UC San Diego Lab Uses NVIDIA DGX B200 to Pursue Low-Latency LLM Serving
Latency is the ghost in the AI machine. Models churn out tokens at a furious pace, but the user experience is often one of waiting.
Brex's AI Caution: Watching Network, Not Code, to Control Agents
Pedro Franceschi has a name for what most of the industry calls AI agents: a terrible name.
Nvidia Claims Groq 3 LPX Cuts Coding Tasks From Hours to Minutes
Nvidia used the Hot Chips 2026 conference to announce that its Groq 3 LPX inference chip has entered full production, a move that caps a roughly $20...
Hut 8 building 350MW Texas data center for Anthropic's Claude AI
Anthropic has agreed to pay Lambda $35 billion for cloud computing capacity, according to a Reuters report citing an unnamed source.
India Plans to Build NVIDIA’s DGX Spark, a 1-Petaflop, 128 GB AI Supercomputer
India is stepping into the ring with a heavyweight contender that fits in the palm of your hand.
Generalist Hits USD 3B Valuation, Founded by Ex-DeepMind, Boston Dynamics Engineers
Generalist has hit a $3 billion valuation less than five months after its last funding round, according to two people with knowledge of the deal.
Meta unveils MTIA 500 chip with higher memory and low‑precision data tweaks
Meta will ship a new AI chip next year. The MTIA 500. It’s got more memory, some tweaks for low-precision data.
vLLM uses custom GPU kernels, TorchInductor and CUTLASS for portable inference
Portable inference across diverse hardware is a brutal optimization problem. vLLM attacks it with a triple threat: custom GPU kernels for raw...
NVIDIA Nemotron Speech and Agent Skills Speed Clinical ASR Evaluation
In clinical settings, accuracy in speech recognition isn’t just a metric, it’s a matter of patient safety.
Startup sells service to remove safety guardrails from open-weight AI models
Open-weight AI models come with built-in refusals, the trained instinct to say no to requests for malware code or exploit instructions.