为 NVIDIA Dynamo 建立经过验证的 Kubernetes 运行时间

团队构建AI应用程序需要从模型配置到工作推断终点的可重复路径。 NVIDIA 时速 Dynamo是一个分布式推论框架，协调服务于GPU工人的模型。 在Kubernetes部署它只是第一步。 一个成功的模型部署需要更多：GPU驱动程序，资源分配，调度，联网，以及监测都必须全部奏效。

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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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