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 ...

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

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

Robin Li spoke to TIME about the AI ambitions of Baidu and China.

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 ...

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

To maintain scientific rigor, headline benchmark numbers are reported with thinking mode disabled. In these published results ...

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

The long-held belief that artificial intelligence is synonymous with Nvidia’s GPUs is now being challenged, said Andrew ...

The industry is trading “dumb pipes” for a single thread because your AI is only as smart as the path it takes to the edge.

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...