NVIDIA AI News - Page 10 of 16

Nvidia built a language model where 90% of it is asleep. That’s the trick. Their new Nemotron 3 has 31.6 billion total parameters, but only three...

The math is brutal for centralized AI: every inference carries the hidden tax of round-trip latency.

A 600% stock surge is the definition of a market fever dream. Allbirds, the brand built on comfortable merino wool runners, now says its future is in...

Jensen Huang is not unhappy with OpenAI. The Nvidia CEO dismissed that claim as “nonsense.” And when asked about a rumored $100 billion investment,...

Testing AI agents for security holes is a manual, brittle mess. Each new framework demands a custom audit; crafted attacks are often obsolete before...

Flash-attention scaling is a notoriously tricky problem. PyTorch and NVIDIA's BioNeMo think they've cracked a piece of it with a new parameter called...

From a single bet in 2022 to a staggering 21 deals in 2023, Nvidia’s corporate venture arm, NVentures, has flipped a switch.

When a startup built to beat the giant chooses to help that giant instead, the industry pays attention.

A new breed of AI agent doesn’t wait for your command. It watches your workflows, understands the outcomes you’re chasing, and moves.

Toss the marketing slides. The choice of a speech recognition model is now clear, definitive, and frankly unpleasant.

The path to deploying a production-ready NVIDIA AI‑Q Blueprint on Oracle Cloud Infrastructure begins not with code, but with capacity.

Speed comes first. Microsoft has stripped away the clutter and rebuilt its 365 Copilot from the inside out, delivering a version that loads in half...

Forget raw compute. Researchers behind the new LongCat-Image model have a different credo: cleaner data beats bigger models.

The shot rings out. You're pinned behind a wall, thirsting for ammo and a flank. Your human squadmate is down, but your other teammate, PUBG Ally,...

For years, large language models have been trained to do one thing above all else: guess the next word.

What happens when one of the world’s most celebrated AI researchers vows to give every penny of his fortune to charity, and still convinces investors...

Imagine an AI that always agrees with you, mirrors your opinions, and tells you exactly what you want to hear. It feels good. It feels trustworthy.

Five small, open-weight models built specifically for tool calling landed in agent pipelines this year, and none of them come from the usual frontier...

Another messaging startup just raised a mountain of cash. This one might actually know what it's doing.

The race to sub-second time-to-first-token is a brutal one. For Sarvam AI’s sovereign models, the baseline was functional but far from fast enough.