Beyond GPU Utilization: Building an End to End Observability Stack for LLM Inference on Kubernetes
中文摘要
探讨在Kubernetes上构建LLM推理端到端可观测性栈，通过关联GPU遥测与模型指标来分析并优化性能。
English Summary
Building an end-to-end observability stack for LLM inference on Kubernetes, correlating GPU telemetry and model metrics to optimize performance.
Original Excerpt
Correlating GPU Telemetry with Model Metrics to Understand, Benchmark, and Optimize LLM Performance Continue reading on Medium »