vLLM vs SGLang: Which Inference Engine for Agents (2026)
vLLM vs SGLang compared for agent workloads in 2026: throughput, latency, prefix reuse, and which inference engine to run for which use case.
vLLM vs SGLang compared for agent workloads in 2026: throughput, latency, prefix reuse, and which inference engine to run for which use case.
How SGLang works, why RadixAttention gives agents faster prefix reuse, and when to choose it over vLLM for production inference in 2026.
How vLLM works under the hood, why PagedAttention matters for agent workloads, and where it fits in a production agent infrastructure stack in 2026.