Anyscale's new data: Most AI clusters run at <50% utilization. Is "Disaggregation" the fix, or just faster cold starts?

Anyscale just published a deep dive showing that most production AI clusters average <50% GPU utilization. The TL;DR: Because AI workloads are bursty (and CPU/GPU scaling needs differ), we end up provisioning massive clusters that sit idle waiting for traffic. Their Solution (Ray): "Disaggregat

AI Startups Attract Record $150 Billion Funding - 조선일보

Source: 조선일보

Anyscale Partners with NVIDIA to Supercharge LLM Performance and Efficiency - HPCwire

Source: HPCwire

Anyscale Partners with NVIDIA to Scale Generative AI Models into Production - HPCwire

Source: HPCwire

Anyscale Collaborates with Microsoft to Deliver AI-Native Computing on Azure

Anyscale and Microsoft have co-developed a fully managed Azure service powered by Ray, the open-source distributed computing framework for AI. The collaboration brings scalable, high-performance AI infrastructure to enterprises directly through the Azure Portal, simplifying deployment, scaling, and