SGLang与Miles在发布首日为DeepSeek-V4提供全栈支持
Blog DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles We are thrilled to announce Day-0 support for DeepSeek-V4 across both inference and RL training. SGLang and Miles form the first open-source stack to serve and train DeepSeek-V4 on launch day — with s... The SGLang Team April 25, 2026
AI 导读SGLang团队宣布，在DeepSeek-V4发布首日即通过SGLang推理引擎和Miles训练框架为其提供全栈支持。该开源技术栈针对DeepSeek-V4的混合稀疏注意力、流形约束超连接和FP4专家权重等新架构特性进行了系统优化。在推理侧，推出了ShadowRadix前缀缓存、HiSparse分层内存加速、多令牌预测推测解码等关键技术。在强化学习训练侧，Miles支持包括DP/TP/SP/EP/PP/CP在内的全并行策略、TileLang注意力及FP8训练，显著提升了训练稳定性。该技术栈支持多种主流硬件平台。
来源：LMSYS Blog · lmsys.org