Glm 5 Rl Training With Vllm Prime Intellect Ray Summit 2026

Summary

Serving LLMs for agentic workloads at Chase scale means balancing latency, cost, and resilience. The team cut latency from ... Large language models demand significant computational power for inference, and TPUs are becoming a first-class target for ... Agentic production traffic brings long multi-turn sessions, heavy prefix reuse, and bursty, heterogeneous requests that challenge ... A simpler setup delivered more tokens per second, with the first token arriving sooner for a single request, than the model card's ... Don't miss out! Join us at our next KubeCon + CloudNativeCon event in Salt Lake City, United States (Nov 9–12, Scaling agentic reinforcement learning requires thousands of scheduling decisions per second, which creates unique ... Read the full article: binaryverseai.com/ GPU utilization is a useful first signal, but past a point it decorrelates from real progress: a busy GPU is not always a fast one. Zixuan Li, head of Z.ai, introduces