@redhat_ai : LLM inference is too slow, too expensive, and too hard to scale. 🚨 Introducing llm-d, a Kubernetes-native distributed inference framework, to change that—using vLLM (@vllm_project), smart scheduling, and disaggregated compute. Here’s how it works

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linkhttps://ai.redhat.com/ calendar_today18-05-2018 17:57:17

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Red Hat AI

@redhat_ai

3 months ago

LLM inference is too slow, too expensive, and too hard to scale. 🚨 Introducing llm-d, a Kubernetes-native distributed inference framework, to change that—using vLLM (vLLM), smart scheduling, and disaggregated compute. Here’s how it works—and how you can use it today:

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