SGLang

LLM Inference: From KV-Cache to Production Deployment

An experienced MLOps engineer from hh.ru explains how to efficiently run large language models on your own hardware in 2026. The article covers key technical aspects: KV-cache, inference engines vLLM and SGLang, the evolution of attention mechanisms, and practical recommendations for model selection, parallelism, and hardware for production.

vLLM SGLang Meta DeepSeek Alibaba/Qwen Moonshot AI