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 ...

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 ...

BURLINGAME, Calif., Jan. 14, 2026 /PRNewswire/ -- Quadric ®, the inference engine that powers on-device AI chips, today ...

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

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 ...

Cloudflare’s NET AI inference strategy has been different from hyperscalers, as instead of renting server capacity and aiming to earn multiples on hardware costs that hyperscalers do, Cloudflare ...

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 DeepSeek’s release of R1 this week was a ...

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

The burgeoning AI market has seen innumerable startups funded on the strength of their ideas about building faster, lower-power, and/or lower-cost AI inference engines. Part of the go-to-market ...

The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...