Java 24新特性遇上K8s 1.33平台工程，解锁企业级AI资源调度与GPU精细化管理新姿势。
Beyond the Hype: Mastering Java 24 Patterns and K8s 1.33 for Enterprise AI Ops As we move into March 2026, the intersection of Java 24 , Kubernetes 1.…
解耦LLM后训练中的GPU资源瓶颈，用强化学习实现运行时动态分配，大幅提升算力利用率。
arXiv:2607.22614v2 Announce Type: replace Abstract: RL-based LLM post-training increasingly disaggregates Rollout and Training across separate GPU res…
AI Agent任务中LLM调用链被阶梯式中断，3-8倍延迟竟源于调度器无视中间状态
arXiv:2605.00528v2 Announce Type: replace-cross Abstract: AI agents execute tens to hundreds of chained LLM calls per task, yet GPU schedulers treat e…