The technique aims to ease GPU memory constraints that limit how enterprises scale AI inference and long-context applications ...

Shimon Ben-David, CTO, WEKA and Matt Marshall, Founder & CEO, VentureBeat As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...

For the past few years, AI infrastructure has focused on compute above all other metrics. More accelerators, larger clusters ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

Forget the parameter race. Google's TurboQuant research compresses AI memory by 6x with zero accuracy loss. It's not ...