Definition of disaggregated inference
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Disaggregated serving breaks “one GPU does everything” monoliths into purpose-built specialization. By splitting model inference into different stages and running them on separate GPU pools, every stage gets optimized independently and gets the exact resources it needs. Watch the full explanation 👇 Learn more: https://nvda.ws/45cpjGB | NVIDIA AI
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