Advantages of DeepSpeed

You should use DeepSpeed if you need to either perform large-scale inference (hundreds+ GPUs), you need fast service, or every MB in GPU memory counts.

Remark: the maximum number of GPUs you can request for a UVA HPC job is 32 (max number of nodes is 4).

The inference latency reductions can matter if you only have X amount of time for experiments.

DeepSpeed also offers very efficient large-scale training parallelism.

For most users, Accelerate is better due to ease of use. DeepSpeed does improve inference, but is mainly used for training. If serving an LLM, vLLM is a good choice.

Source: https://www.rc.virginia.edu/userinfo/hpc/#job-queues