Red Hat AI @RedHat_AI
Accelerating AI innovation with open platforms and community. The future of AI is open. ai.redhat.com Joined May 2018-
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We are working on it! Stay tuned.
Pro Tip💡Fast and simple way to deploy DeepSeek-V3.1-Terminus with vLLM ⚡️ Run it with: vllm serve deepseek-ai/DeepSeek-V3.1-Terminus -tp 8 -dcp 8 (as simple as appending -dcp 8 after -tp 8) Thanks to the @Kimi_Moonshot team, vLLM 0.10.2 adds Decode Context Parallel (DCP)…
Pro Tip💡Fast and simple way to deploy DeepSeek-V3.1-Terminus with vLLM ⚡️ Run it with: vllm serve deepseek-ai/DeepSeek-V3.1-Terminus -tp 8 -dcp 8 (as simple as appending -dcp 8 after -tp 8) Thanks to the @Kimi_Moonshot team, vLLM 0.10.2 adds Decode Context Parallel (DCP)… https://t.co/NjuJTpC1xR
[vLLM Office Hours #33] Hybrid Models as First-Class Citizens in vLLM - September 25, 2025 x.com/i/broadcasts/1…
Hybrid models with SSMs & linear attention = 🔥 Our IBM + Red Hat teams enabled cache mgmt in vLLM to supercharge inference speed for these models. Want details? Tune in to #vLLM Office Hours! #AI #ML #OpenSource #vLLM #LLM #AIInference
Excited to share that I’ll be delivering a 𝗸𝗲𝘆𝗻𝗼𝘁𝗲 𝗮𝘁 𝗞𝘂𝗯𝗲𝗖𝗼𝗻 𝗡𝗼𝗿𝘁𝗵 𝗔𝗺𝗲𝗿𝗶𝗰𝗮 𝗶𝗻 𝗔𝘁𝗹𝗮𝗻𝘁𝗮 𝘁𝗵𝗶𝘀 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿! On the first day of the main conference, I’ll be on stage with Anjali Telang for: ➡️ 𝗔𝗻𝗰𝗵𝗼𝗿𝗶𝗻𝗴 𝗧𝗿𝘂𝘀𝘁 𝗶𝗻 𝘁𝗵𝗲…
Set up #KServe autoscaling for #vLLM with KEDA. Go beyond traditional metrics and scale based on application-specific signals for a flexible and powerful solution. Manage AI workloads with efficiency. red.ht/3KhEt5W
LLM Compressor has crossed 2,000 ⭐️ on GitHub! Thank you to everyone contributing, using, and supporting the project. Open source keeps getting stronger. 🫶 github.com/vllm-project/l…
Just enabled full cudagraphs by default on @vllm_project! This change should offer a huge improvement for low latency workloads on small models and efficient MoEs For Qwen3-30B-A3B-FP8 on H100 at bs=10 1024/128, I was able to see a speedup of 47% 🔥
Day-0 support on one of the most anticipated model releases🚀🚀🚀 Detailed deployment guide coming soon at vllm-recipes docs.vllm.ai/projects/recip…
Day-0 support on one of the most anticipated model releases🚀🚀🚀 Detailed deployment guide coming soon at vllm-recipes docs.vllm.ai/projects/recip… https://t.co/dwXiEVZHEM
We had a BLAST this weekend in Boston for @devconf_us and the @vllm_project meetup talking all things open source and AI 🚀 from LLM compression, distributed model serving on Kubernetes, RAG/Agentic apps and so much more, the community is what drives things forward, and I’m so…
Great @vllm_project meetup in Boston last week! Thanks to everyone for joining us to discuss vLLM performance, model optimizations, distributed inference with @_llm_d_, and more!

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