It allows DeepSpeed-FastGen to run at a consistent forward size by taking partial tokens from prompts and composing this with generation. SplitFuse enables it to offer up to 2.3 times higher effective throughput compared to systems like vLLM. The Dynamic SplitFuse technique is a new token composition strategy for prompt processing and token generation. The system currently supports several model architectures. DeepSpeed-FastGen is based on the Dynamic SplitFuse technique. DeepSpeed-FastGen is the synergistic composition of DeepSpeed-MII and DeepSpeed-Inference. Microsoft has announced the alpha release of DeepSpeed-FastGen, a system designed to improve the deployment and serving of large language models (LLMs).
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