BAAI introduces PhysisServe, a pipelined system for accelerating denoising inference
Overview
BAAI introduces PhysisServe, a system for autoregressive denoising inference that splits a model into stages, each covering one Transformer block at one denoising step.
BAAI says the system pipelines both denoising steps and Transformer blocks at once, so a single stream can use as many GPUs as the number of denoising steps multiplied by the number of blocks.
BAAI says that in steady state, output latency depends only on the slowest stage, and that adding denoising steps or model depth increases pipeline depth and GPU count without lowering output frequency. The report describes PhysisServe as the first of three system layers, and covers only single-stream acceleration.
Written by AI from the articles below · updated Oct 15, 9:53 AM ET
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BAAI@BAAIBeijingOfficialPhysisServe pipelines denoising steps and Transformer blocks across GPUsAIBAAI says PhysisServe, a system for autoregressive denoising inference, splits the model into stages that each correspond to one Transformer block at one denoising step. It pipelines both dimensions at once, so a single stream can use as many GPUs as the number of denoising steps times the number of blocks. In steady state, output latency depends only on the slowest stage, and adding steps or depth does not reduce output frequency.

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