LMCache Lab @lmcache
🧪 Open-Source Team that maintains LMCache and Production Stack 🤖 Democratizing AI by providing efficient LLM serving for ALL lmcache.ai Github, Online Joined September 2024-
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LMCache highlighted by CEO of Redis @rowantrollope at Redis Released SF 2025! 🎉 We’re thrilled to partner with Redis, bringing KV cache acceleration to the infra ecosystem. #Redis #LMCache #AIInfra #LLM #Caching #SFTech #RedisReleased2025 📌 PS: Our team @kobe_eee(Kobe) &…
Join us at SIGCOMM 2025(conferences.sigcomm.org/sigcomm/2025/t…) for our full-day LMCache Tutorial — an intelligent caching middleware that makes LLM inference faster & cheaper! 📅 Sept 8, 2025 8:45 AM – 6:00 PM (Portugal Time / WEST) = 12:45 AM – 10:00 AM (PDT) What you’ll learn: 🔹 KV-cache…
Had a great time at AI Infra & Agent Meetup luma.com/kzc4ang8 hosted in our foster city office! See you next time!
@lmcache in @vllm_project Singapore meetup!
🚀 Exciting to see LMCache x Mooncake being discussed at the vLLM Shanghai Meetup! The ecosystem around vLLM is evolving fast — from distributed inference to hardware optimizations — and cache innovations like this will be key to unlocking the next level of efficiency &…
🚀 Exciting to see LMCache x Mooncake being discussed at the vLLM Shanghai Meetup! The ecosystem around vLLM is evolving fast — from distributed inference to hardware optimizations — and cache innovations like this will be key to unlocking the next level of efficiency &…
Thanks to Alex @ New Port AI invite us to introduce lmcache at the Bay Area Generative AI Builders Meetup! More details here: lu.ma/5sdoeg1y
Mark your calendars! Excited for the first FastAGI meetup featuring incredible speakers on AI infra & agents 🚀 Looking forward to the discussions and energy at LMCache Lab!
Mark your calendars! Excited for the first FastAGI meetup featuring incredible speakers on AI infra & agents 🚀 Looking forward to the discussions and energy at LMCache Lab!
love how Ashutosh frames the problem, ask us any questions about kvcache!
love how Ashutosh frames the problem, ask us any questions about kvcache!
Fastest inference engine for LLMs! LMCache is an LLM serving engine that reduce Time to First Token (TTFT) and increase throughput, especially under long-context scenarios. 100% Open Source
8 KV-Cache Systems You Can’t Afford to Miss in 2025 By 2025, KV-cache has evolved from a “nice-to-have” optimization into a critical layer for high-performance large language model (LLM) serving. From GPU-resident paging tricks to persistent, cross-node cache sharing, the…
We're thrilled to share an integration between KServe and @_llm_d_, bringing powerful, scalable LLM serving to @kubernetesio. Our @RedHatAI team is integrating llm-d, a Kubernetes-native distributed inference framework, into KServe. This is all about combining the best of both…
Looking forward to seeing LMCache on stage at Cloud Native K8s AI Day! 🚀 Don’t miss the KServe Next session for cutting-edge LLM serving insights.
Looking forward to seeing LMCache on stage at Cloud Native K8s AI Day! 🚀 Don’t miss the KServe Next session for cutting-edge LLM serving insights.
CacheGen(arxiv.org/abs/2310.07240) lets you store KV caches on disk or AWS S3 and load them way faster than recomputing! Modern LLMs use long contexts, but reprocessing these every time is slow and resource-intensive. While engines like vLLM (and LMCache) can cache contexts in…
Grateful to the BentoML team for integrating LMCache — excited to help boost LLM inference together!
Grateful to the BentoML team for integrating LMCache — excited to help boost LLM inference together!
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