#vllm arama sonuçları

⚙️ We integrate vLLM into MCTS, accelerating node expansion, rollout, and reward evaluation. Beyond reasoning accuracy, this creates a reusable acceleration framework for large-scale MCTS and TTS research. #MCTS #vLLM #InferenceTimeCompute

My testing for #Vllm inside the #Kubernetes cluster That is my first question to test

🌟Red Hatが「vLLM Semantic Router」をリリース！ クエリの複雑さに応じて最適なLLMに自動振り分け💡 ・シンプル→小型高速モデル ・複雑→大型推論モデル コスト効率とパフォーマンスを両立する画期的なルーティング技術 #RedHat #vLLM #エンタープライズAI #AIHack

Come see us (me & Yuhan Liu) tomorrow for our talk. Specifically, Wednesday November 12, 2025 5:30pm - 6:00pm EST at Building B | Level 5 | Thomas Murphy Ballroom 1. More info: sched.co/27FcQ #kubecon #vllm

Come see us (me & Yuhan Liu) tomorrow for our talk. Specifically, Wednesday November 12, 2025 5:30pm - 6:00pm EST at Building B | Level 5 | Thomas Murphy Ballroom 1. More info: sched.co/27FcQ #kubecon #vllm

Come see us (me & Yuhan Liu) tomorrow for our talk. Specifically, Wednesday November 12, 2025 5:30pm - 6:00pm EST at Building B | Level 5 | Thomas Murphy Ballroom 1. More info: sched.co/27FcQ #kubecon #vllm

🚀 llm-d v0.3.1 is LIVE! 🚀 This patch release is packed with key follow-ups from v0.3.0, including new hardware support, expanded cloud provider integration, and streamlined image builds. Dive into the full changelog: github.com/llm-d/llm-d/re… #llmd #OpenSource #vLLM #Release

𝟮𝟬𝟮𝟱 𝗖𝗵𝗶𝗻𝗮 𝘃𝗟𝗟𝗠 𝗠𝗲𝗲𝘁𝘂𝗽 - 𝗕𝗲𝗶𝗷𝗶𝗻𝗴 𝗲𝘃𝗲𝗻𝘁 🤝🚀 Co-organized with Ant Group, ByteDance, AMD and MetaX: this community-driven event brought together >350 attendees on-site and an online presence of over 41,000 viewers! #RedHatAPAC #vLLM

NTTドコモのブログで、vLLM Sleep Modeによるモデルのゼロリロード切り替え機能の検証結果が紹介されています。コンテナベースでの動作確認が行われ、効率的な切り替えが実現！詳細はブログでチェック！ #vLLM #NTTドコモ ift.tt/Jodkahx

Ray summit 2025 takeaways: 1. Ray is now in PyTorch Foundation 2. Ray supports RDMA (finally) 3. Anyscale runtime, basically Ray + better perf and fault tolerance/observability etc. 4. Anyscale is building multi-resource cloud, and collaborating with Azure. #raysummit2025 #vllm

Great news! 🎉 PaddleOCR-VL is now supported on vLLM! Bringing powerful vision-language capabilities with blazing-fast inference. Try it out and experience the boost! #PaddleOCR #vLLM #AICommunity

🚀LLM vs vLLM – Which one delivers faster, smarter, and more efficient AI inference? From performance to scalability, this complete comparison breaks it all down. Dive in and choose the right model for your AI workloads! 🔗shorturl.at/EnR9K #AI #LLM #vLLM #MachineLearning

Fine-tuning LLMs but losing base skills? Try: – 🕶 Shadow infer + backfill drift – 🔀 Post-hoc LoRA blend (70% base, 30% task) – 🧠 Ghost-tune w/ contrastive English anchors It’s not just overfitting – it’s amnesia with style. #LLM #FineTuning #vLLM

#vLLM #vLLMServings #FastInference #LLMInference #DistributedInference #PagedAttention

Bijit Ghosh (@bijitghosh21) spotlighted how #vLLM and #SGLang are syncing open-source inference at massive scale. Their fusion of memory and time optimization just set a new bar for efficiency in the GPU economy. Let’s keep the conversation going on LinkedIn:…

#vllm #artificial_intelligence #Python #machine

Sincere Thanks to Ayush for the deep dive!👏 RT to share with researchers • DM for questions #vLLM #LLMInference #AERLabs

RIP rtx 2080ti 22g Reason: #rag with 7b #vllm and 8b llm

My testing for #Vllm inside the #Kubernetes cluster That is my first question to test

#vllm #artificial_intelligence #Python #machine

🚀 llm-d v0.3.1 is LIVE! 🚀 This patch release is packed with key follow-ups from v0.3.0, including new hardware support, expanded cloud provider integration, and streamlined image builds. Dive into the full changelog: github.com/llm-d/llm-d/re… #llmd #OpenSource #vLLM #Release

Try building #vllm from source for $META cwm

(1/n) We are drastically overestimating the cost of LLMs, because we sometimes over-focus for single-query speed. Had the privilege to talk about this topic at the #vllm meetup yesterday. An average human reads 350 words per minute, which translates to 5.5 words per second.

Something we're doing differently this time around, we added a #vLLM track to #RaySummit! @vllm_project is one of the most popular inference engines, and is often used together with @raydistributed for scaling LLM inference. Can't wait to hear from these companies about how…

vLLMがNVIDIA RTX 6000 Pro複数GPU問題解決か？ローカルLLM環境が劇的進化へ！🎉 #vLLM #ローカルLLM

LLMを爆速化する秘訣は「vLLM」！🚀 AIモデルの推論を劇的に高速化し、運用コストも削減する「vLLM」がすごいんです！✨ 個人や中小企業のAIサービス展開を強力にサポート。AI活用がもっと快適になりますよ！ #vLLM

#ComfyUI-Molmo お試し。やってる事は単純で画像→VLLM→FLUX.1 dev + Depthで画像生成。肝は #VLLM の #Molmo-7B-D。GPT-4VとGPT-4oの間程度の性能らしい。軽く試したところNSFWもOK。#JoyCaption とどっちが上だろう？ #AI美女 #AIグラビア github.com/CY-CHENYUE/Com…

#Cerebras just pruned 40% of GLM-4.6's 355B parameters, and it still codes like a beast. No custom stack needed: runs in #vLLM banandre.com/blog/2025-10/p…

🧑🏼‍🚀Yesterday we had the First-ever 🍁 Canadian @vllm_project meetup in Toronto! It was a sold-out event with 300 registered attendees🔥, and the energy was absolutely massive 💫. Awesome to see the community come together like this! #vLLM #AICommunity #TorontoEvents @VectorInst

Getting 10x speedup in #vLLM is easier than you think 📈 I just discovered speculative decoding with ngram lookup and the results speak for themselves. Here's what you add to your vLLM serve command: speculative_config={ "method": "ngram", "num_speculative_tokens": 8,…

Don't pay for closed source proprietary solutions that you get for free, with plain old open source. Support those who value honesty and transparency. FP8 #vLLM with @AMD #MI300x

#Grok3、#VLLM もいけますね！#Premiumアカウント で1日どの程度使えるか不明ですが、結構いいかも！？(笑)

vLLM at Computex 2025. Integrated into Intel Enterprise Gaudi 3 inferencing stack !!!! #vLLM #Computex2025 #IntelAI

#Whisk やってみた。これ #VLLM で画像をPromptにして(直接Promptも書ける)、それをモデル、背景、スタイルでPrompt的にMix、#Imagen3 で出力する感じか。縦、横、正方形に対応。

#SwarmUI のExtensions、#OllamaVisionExtension (#VLLM)、LM StudioのAPIで動いた！endpointがOpenAI APIとgpt-4o-miniに決め打ちしてたので、コード触ってlocalhostとqwen2-vl-7b-instructに変更。結果はご覧の通り♪ < Assets/ollamavision.js github.com/Urabewe/Ollama…

この #VLLM な #gemma-3-27b-it-qat-q4_0-gguf を使ったChat and 画像生成、実写/3枚目 "what?"で出て来た/2枚目 英文に"手前に雰囲気の合った女性を立たせてください"(27bなので日本語OK) 1枚目。なかなか使える♪ < Caption系だと2枚目は出ても1枚目は手で追加 #AI美女 #AIグラビア

Disaggregated Inference at Scale with #PyTorch & #vLLM: Meta’s vLLM disagg implementation improves inference efficiency in latency & throughput vs its internal stack, with optimizations now being upstreamed to the vLLM community. 🔗 hubs.la/Q03J87tS0