Distributed Inference 101: Disaggregated Serving with NVIDIA Dynamo
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Disaggregated serving enables developers to serve large language models (LLMs) with maximum throughput given their latency requirements by separating prefill and decode phases of the LLM and executing them independently on GPUs. In this video, we demonstrate: How to harness the power of disaggregated serving Introduce more advanced features offered by NVIDIA Dynamo such as auto-discovery and conditional disaggregation. Explore and Download → https://github.com/ai-dynamo/dynamo #Inference #datacenter #AI #disaggregatedserving
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