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 ...
Quadric®, the inference engine that powers on-device AI chips, today announced an oversubscribed $30 million Series C funding ...
This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...
BURLINGAME, Calif. -- Quadric®, the inference engine that powers on-device AI chips, today announced an oversubscribed $30 million Series C funding round, bringing total capital raised to $72 million.
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 ...
The AI hardware landscape continues to evolve at a breakneck speed, and memory technology is rapidly becoming a defining ...
If GenAI is going to go mainstream and not just be a bubble that helps prop up the global economy for a couple of years, AI ...
Local AI concurrency perfromace testing at scale across Mac Studio M3 Ultra, NVIDIA DGX Spark, and other AI hardware that handles load ...
SGLang, which originated as an open source research project at Ion Stoica’s UC Berkeley lab, has raised capital from Accel.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results