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BAAI proposes time-division multiplexing to meet SLOs with fewer GPUs

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BAAI says a single stream can meet target SLOs on fewer GPUs when extreme minimum latency is not required. Its approach decouples pipeline stages from physical GPUs so one GPU runs multiple stages in different time slices. It also merges tasks from different chunks on the same Transformer block into one batch to amortize weight loading and kernel launch overhead.

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Part of a thread · earlier post

When extreme minimum latency isn't required, how can a single stream meet target SLOs using fewer GPUs?

Time-Division Multiplexing (Compute Sharing)

Hardware Decoupling: Decouples stages from physical GPUs so a single GPU can execute multiple stage tasks across different time slices, rather than dedicating one GPU per stage.

Batch Merging: Merges tasks from different chunks on the same Transformer block into a single batch for execution, amortizing weight loading and kernel launch overhead while filling idle GPU cycles.

Source: BAAI · x.comPublished · added here