@seiji_________: Today we are excited to announce, in partnership with the GKE team at Google Cloud (@googlecloud), a major milestone in…
Summary
Ray Serve LLM achieves up to 4x higher throughput on prefill-heavy workloads and 24x on decode-heavy workloads in Ray 2.56, matching rust-based routing frameworks like vllm-router in production benchmarks, announced in partnership with Google Cloud GKE team.
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Cached at: 06/19/26, 12:14 AM
Today we are excited to announce, in partnership with the GKE team at Google Cloud (@googlecloud), a major milestone in Ray Serve LLM’s production serving capability. Ray Serve LLM now matches high performance, rust-based routing frameworks such as vllm-router (@vllm_project) in benchmarks across a variety of workloads and deployment patterns.
In Ray 2.56, we see up to 4x higher request throughput on prefill-heavy workloads, and 24x higher request throughput on decode-heavy workloads
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