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NVIDIA Developer Blog· Stefan Schimanski·· 3 小时前AI 评分26

如何为 NVIDIA Dynamo 构建经过验证的 Kubernetes 运行时

Build a Validated Kubernetes Runtime for NVIDIA Dynamo

AI 导读

NVIDIA Dynamo 是协调多 GPU worker 模型服务的分布式推理框架,但将其部署到 Kubernetes 只是第一步。成功的模型部署还要求 GPU 驱动、资源分配、调度、网络与监控全部正常工作。文章介绍如何为 NVIDIA Dynamo 构建一条从模型配置到可用推理端点的可复现路径,并给出经过验证的 Kubernetes 运行时方案。

正文

Glowing green AI network illustration in front of server racks.Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDIA Dynamo is a distributed inference...Glowing green AI network illustration in front of server racks.

Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDIA Dynamo is a distributed inference framework that coordinates model serving across GPU workers. Deploying it on Kubernetes is only a first step. A successful model deployment requires more: GPU drivers, resource allocation, scheduling, networking, and monitoring must all work…

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来源:NVIDIA Developer Blog · developer.nvidia.com