Google pairs Gemma with vLLM for a 23x speedup
Google just detailed how to deploy Gemma models on Dataflow using vLLM for streaming inference. By leveraging continuous batching and Dataflow's model manager, developers can spin up an end-to-end serving pipeline in minimal code, boosting inference throughput by over 23x in benchmarks.