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Google Cloud Ships llm-d 1.0 With Cache-Aware Routing for TPU and GPU Fleets

· 0 次浏览 ·来源: MarkTechPost
Google team have released llm-d 1.0 , the first stable version of its distributed inference stack. This open-source, Kubernetes-native layer turns vLLM or SGLang model servers into one coordinated pool. They released it at the PyTorch Conference North America. It targets self-hosted agent and RL workloads, where round-robin load balancing breaks down. TL;DR A serving stack : Google reports a published benchmark on a 17,000-node multi-region GKE deployment....

Google team have released llm-d 1.0 , the first stable version of its distributed inference stack. This open-source, Kubernetes-native layer turns vLLM or SGLang model servers into one coordinated pool. They released it at the PyTorch Conference North America. It targets self-hosted agent and RL workloads, where round-robin load balancing breaks down. TL;DR A serving stack : Google reports a published benchmark on a 17,000-node multi-region GKE deployment....

Google team have released llm-d 1.0 , the first stable version of its distributed inference stack. This open-source, Kubernetes-native layer turns vLLM or SGLang model servers into one coordinated pool. They released it at the PyTorch Conference North America. It targets self-hosted agent and RL workloads, where round-robin load balancing breaks down. TL;DR A serving stack : Google reports a published benchmark on a 17,000-node multi-region GKE deployment....