vLLM vs SGLang (2026): Which Inference Engine Is Better?
vLLM vs SGLang (2026) comparison for LLM serving and AI agents: which is better for throughput, latency, prefix caching, OpenAI API compatibility, and deployment fit?
Tag: #llm-serving
SGLang: Low-Latency Inference Engine for Agents
How SGLang works, why RadixAttention gives agents faster prefix reuse, and when to choose it over vLLM for production inference in 2026.
vLLM Explained: The Inference Engine Behind Agent Stacks
How vLLM works under the hood, why PagedAttention matters for agent workloads, and where it fits in a production agent infrastructure stack in 2026.