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NVIDIA Dynamo Snapshot:Kubernetes 推理工作负载冷启动从分钟级降至5秒

Introducing Dynamo Snapshot, our approach for fast startup for inference workloads on Kubernetes, wh...

精选理由

Kubernetes 上跑推理的团队终于不用忍受 GPU 空转几分钟了——Dynamo Snapshot 把冷启动压到 5 秒,做弹性扩缩容的 MLOps 工程师可以直接拿来用。

AI 摘要

NVIDIA 推出 Dynamo Snapshot,一种针对 Kubernetes 上推理工作负载的快速启动方案。该方案利用 GPU 内存快照(GMS)实现高速互连上的并发权重恢复,同时结合 Linux 原生 AIO 和并行 memfd 恢复技术,加速 CRIU 恢复性能。在推理部署中,需求波动导致冷启动耗时数分钟,造成 GPU 闲置。Dynamo Snapshot 将启动时间从分钟级缩短至 5 秒以内,显著提升 GPU 利用率和推理效率。

原文 · NVIDIA AI

Introducing Dynamo Snapshot, our approach for fast startup for inference workloads on Kubernetes, wh...

Introducing Dynamo Snapshot, our approach for fast startup for inference workloads on Kubernetes, which reduces startup time from minutes to under 5 seconds. In production inference deployments demand fluctuates over time. Cold-starting inference workloads can take minutes, leaving idle GPUs that generate no tokens and serve no requests. Snapshot leverages GMS to enable concurrent weight restoration over a high-speed interconnect, while using Linux native AIO and parallel memfd restoration to accelerate CRIU restore performance. 💬 6 🔄 8 ❤️ 65 👀 4047 📊 16 ⚡