GPU Time-Slicing for Concurrent LLM Agents on Kubernetes
中文摘要
本文深入分析了在 Kubernetes 中通过 GPU 时间分片并发运行 LLM Agent 时，隐藏的微架构成本及其对系统性能的影响。
English Summary
This article analyzes the hidden microarchitectural costs and performance impacts of running concurrent LLM agents using Kubernetes GPU time-slicing.
原文节选
A systems-level deep dive into the hidden microarchitectural costs of Kubernetes GPU time-slicing, and what it actually costs to co-locate Agentic AI workloads. The post GPU Time-Slicing for Concurrent LLM Agents on Kubernetes appeared first on Towards Data Science.