Unverified70% confidenceOpinionExact time
SGLang对MoE模型的专家并行支持比vLLM更为成熟，使其成为部署Mixtral、DeepSeek、Kimi K2.6等MoE架构模型的首选框架之一
1
Sources
70%
Confidence
Long-term
Relevance
5/21/2026
First Seen
Sources
Cloudflare Contributes Critical KV Cache and Mooncake Fixes to SGLang
twitterlmsysorg5/21/2026
Related Entities
Related Claims
UnverifiedDeepSeek-V2 and V3 adopt a MoE architecture similar to Kimi K2.7, and introduce optimizations such as shared experts and fine-grained expert splitting.73% similarUnverifiedA complete technology stack has formed around models such as DeepSeek, including inference frameworks (vLLM, SGLang) and Agent frameworks (such as domestic adaptations of MetaGPT and AutoGen)73% similarUnverifiedHunyuan V3 supports deployment via two mainstream inference frameworks: vLLM and SGLang.70% similarUnverifiedKimi系列模型底层架构采用了混合专家模型（MoE）设计70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/583API
curl https://kongchang.com/api/v1/knowledge/claims/583MCP
get_claim(id=583)