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When it comes to inference engines, vLLM has proven itself to be a fast and effective choice. But there’s always room for improvement. Red Hat developed llm-d with an architecture that raises KV-caching hit-rates—subsequently lowering latency and improving GPU efficiency. Watch the full demo for a direct comparison of how each engine handles the same workload.
Dive into the details on the Red Hat blog that outlines how Red Hat achieved these efficiency gains: https://developers.redhat.com/articles/2026/01/13/accelerate-multi-turn-workloads-llm-d
#vllm #llmd #inference #redhatai
Date: January 12, 2026











