NVIDIA AI News - Page 12 of 16

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.

India is stepping into the ring with a heavyweight contender that fits in the palm of your hand.

Meta will ship a new AI chip next year. The MTIA 500. It’s got more memory, some tweaks for low-precision data.

Portable inference across diverse hardware is a brutal optimization problem. vLLM attacks it with a triple threat: custom GPU kernels for raw...

In clinical settings, accuracy in speech recognition isn’t just a metric, it’s a matter of patient safety.

Your next machine learning experiment will likely end up in a timestamped folder, alongside a notebook full of untested code and a fading memory of...

The telecom industry dreams of networks that run themselves. It’s a powerful fantasy: AI predicting a cell tower’s failure before it happens,...

Some AI developers are bored with the present. They made a language model that thinks the world ended nearly a century ago.

Search has been lying to you. It tells you where your files are but has nothing to say about what's in them.

The 9.6 GB download is a promise. A 128K context window, a 4-bit quantized model, and the raw power of Gemma 4 sitting right on your NVIDIA RTX 2000...

The ceiling for on-device AI has always been a hardware problem. Training models with over 70 billion parameters?

Nvidia’s real business is selling shovels. Now it’s buying the whole mine. The company is committing $26 billion to develop open-weight AI models.

Google's latest AI chip, the Ironwood TPU, isn't just four times faster. The real headline is the staggering, tens-of-billions-dollar check the...

Seventy-five billion euros is not a bet. It’s a declaration, and SoftBank is building its fortress on a decommissioned military site in Bosquel,...

Google has put its most advanced reasoning engine behind a paywall. Available only to top-tier Gemini subscribers, the new Deep Think mode now claims...

Running a massive language model is an exercise in waste management. It bogs down, spending most of its time and memory juggling tokens it no longer...

The numbers are stark. Fifty-three readers, when given a choice, preferred the machine.

For years, Nvidia’s DLSS walked a careful line: upscale here, interpolate a frame there, all in service of smoother performance.

Nvidia just laid out the full specs for its RTX Spark. This new chip is designed specifically to run AI agents locally on Windows PCs.

Forget the marketing. The race to 6G is currently stuck in simulation hell. The math we use to model radio signals breaks down at the scale and...