According to the company, vLLM is a key player at the intersection of models and hardware, collaborating with vendors to provide immediate support for new architectures and silicon. Used by various ...

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...

LLM quietly powers faster, cheaper AI inference across major platforms — and now its creators have launched an $800 million ...

Local AI concurrency perfromace testing at scale across Mac Studio M3 Ultra, NVIDIA DGX Spark, and other AI hardware that handles load ...

Quadric aims to help companies and governments build programmable on-device AI chips that can run fast-changing models ...

The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...

AI data centers dominated PowerGen, revealing how inference-driven demand, grid limits, and self-built power are reshaping ...

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...

Subie faithful have longed for a powertrain that reflects their values, or at least doesn’t make a mockery of them. With the ...

KRAFTON will provide an in-depth look at artificial intelligence technology slated for application in PUBG: BATTLEGROUNDS at ...

SGLang, which originated as an open-source research project at Ion Stoica’s UC Berkeley lab, has raised capital from Accel.

"[P]laintiffs' complaint has provided ample support for a plausible inference that defendants' inaccurate documentation of ...