Multimodal models put different demands on vision encoding, prefill and decoding. Separating vision encoding from the other stages can reduce resource contention and help models respond faster, but only for the right workloads. See how EPD disaggregation works, when it helps and what to consider before using it: 📷 ↧ When to Use Encode-Prefill-Decode Disaggregation to Accelerate Mult... Encode-prefill-decode (EPD) disaggregation is an inference optimization technique for multimodal models that separates the vision encoder stage from the prefill and decode stages. It is most effective…
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Multimodal models put different demands on vision encoding, prefill and decoding. Separating vision encoding from the other stages can reduce resource contention and help models respond faster, but only for the right workloads. See how EPD disaggregation works


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