New deployment data from four inference providers shows where the savings actually come from — and what teams should evaluate ...

A diagnostic insight in healthcare. A character’s dialogue in an interactive game. An autonomous resolution from a customer service agent. Each of these AI-powered interactions is built on the same ...

Nvidia noted that cost per token went from 20 cents on the older Hopper platform to 10 cents on Blackwell. Moving to Blackwell’s native low-precision NVFP4 format further reduced the cost to just 5 ...

Achieving that 10x cost reduction is challenging, though, and it requires a huge up-front expenditure on Blackwell hardware.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Nvidia announced today that it has launched ...

At its GPU Technology Conference, Nvidia announced several partnerships and launched updates to its software platforms that it claims will expand the potential inference market to 30 million ...

The AI chip giant says the open-source software library, TensorRT-LLM, will double the H100’s performance for running inference on leading large language models when it comes out next month. Nvidia ...

Every ChatGPT query, every AI agent action, every generated video is based on inference. Training a model is a one-time ...

Nvidia launched a hyperscale data center platform that combines the Tesla T4 GPU, TensorRT software and the Turing architecture to provide inference acceleration for voice, video and image ...

The history of computing teaches us that software always and necessarily lags hardware, and unfortunately that lag can stretch for many years when it comes to wringing the best performance out of iron ...