Recent frontier LLM inference benchmarks have highlighted a recurring pattern. GPU-based systems deliver outstanding ...

There's a whole world of tools to launch local LLMs out there, and these are some of the best.

“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...

The company tackled inferencing the Llama-3.1 405B foundation model and just crushed it. And for the crowds at SC24 this week in Atlanta, the company also announced it is 700 times faster than ...

Here is a sneak peek at the evolution of the MLPerf benchmark and how generative AI forced a radical shift in AI hardware ...

“Large language models (LLMs) have demonstrated remarkable performance and tremendous potential across a wide range of tasks. However, deploying these models has been challenging due to the ...

GitHub Copilot security scanning arrives in the terminal with /security-review, an experimental pre-commit slash command that ...

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

As AI becomes the public face of business, organizations must validate performance, security, and cost efficiency at scale.

PALO ALTO, Calif.--(BUSINESS WIRE)--Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and ...