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Excited to present at the #RaySummit today about what we're working on at @ElorianAI !
At #RaySummit 2026—robotics track is more than 2025. 🤖 → @nvidia Isaac Lab × @anyscalecompute @raydistributed: thousands of parallel humanoid loco/nav sims → @LeRobotHF v3.0: dataset layout becomes a scaling bottleneck → @mimicrobotics: Video Action Models—pretrained video backbones + human video for dexterous control → @AndrewDai: why frontier VLMs still can’t actually see Physical AI is increasingly an infra problem: sim throughput × data layout × video priors × visual grounding. #RaySummit #PhysicalAI
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Great time at the Ray Summit this week, hosted by @anyscalecompute. Good conversations, good energy in the AI infra space, and especially nice catching up with @PrasannaBalaprakash (CEO, Prima Labs). Always good to see familiar faces. 🙌 #RaySummit
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MiniMax H3 is at @anyscalecompute’s #RaySummit today in SF. @VictorSuOrtiz will break down our 33B open-weight audio-video model at the @vllm_project Conference, bringing text, image, video + audio into one context. @VoidAsuka will share how builders are fine-tuning, evaluating + serving H3 alongside @digitalocean, @nvidia, @inferact, and @NousResearch. From the model to the community building on it. See you there! 👋 🔗 Session details below:
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At #RaySummit 2026—robotics track is more than 2025. 🤖 → @nvidia Isaac Lab × @anyscalecompute @raydistributed: thousands of parallel humanoid loco/nav sims → @LeRobotHF v3.0: dataset layout becomes a scaling bottleneck → @mimicrobotics: Video Action Models—pretrained video backbones + human video for dexterous control → @AndrewDai: why frontier VLMs still can’t actually see Physical AI is increasingly an infra problem: sim throughput × data layout × video priors × visual grounding. #RaySummit #PhysicalAI
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Heading to Ray Summit 2026 in SF! 🚀 Looking forward to learning how people are building and scaling real-world AI/ML systems with Ray. If you’re attending too, let’s connect and catchup over a coffee! :) #RaySummit #Ray #AI #ML
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Speaking at Ray Summit 2026 in SF! @digitalocean + vLLM (with @inferact ) hit #1 output speed on DeepSeek, per Artificial Analysis — plus NVIDIA Blackwell Ultra. This year's Summit co-locates the first vLLM Conference. Come say hi. #RaySummit #vLLM
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🔵 𝗠𝗮𝘀𝘀𝗶𝘃𝗲 𝗻𝗲𝘄𝘀 in the AI infra space!  The @sgl_project creators officially launched their startup, @radixark, with a $𝟭𝟬𝟬𝗠 Seed round at a $𝟰𝟬𝟬𝗠 𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻. I was lucky to catch up with their Co-founder & team (@liin1211) back at #RaySummit to ask what they were cooking to redefine how frontier AI is built and scaled 🔥! Big congrats to the SGLang team and @ying11231 Announcement👉🏻: lnkd.in/ebsjP8Ma #SGLang #RadixArk #SeedRound #AIInference
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GPU memory alone won’t carry the next generation of LLM serving. At #RaySummit, our Chief Scientist @this_will_echo shared how #LMCache offloads KV Cache across CPU RAM, local disk, Redis, and S3, while enabling cache reuse beyond basic prefix caching. Watch the full talk on YouTube: 👉🏻piped.video/watch?v=aVpkkVp-… #RaySummit #LMCache #Tensormesh #KVCache
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🚀 #RaySummit 2025 Day 1 Morning — Distributed LLM & RL Systems Ecosystem for scalable, interactive, and resilient LLM/RL systems — merging research agility with production-grade reliability. Scalable, fault-tolerant AI sys across training, RL, agentic. 👉🏻 linkedin.com/posts/junfan-zh…
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🚀 #RaySummit 2025 Day 2 Morning Highlights — Physical Intelligence, Code RL, Scalable Inference Systems 💡Robotics, code agents, forecasting, and hardware optimization — unifying data, control, and computation under one distributed paradigm. 👉🏻 linkedin.com/posts/junfan-zh…
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Talked to a lot of fantastic people at the #RaySummit ! What a great event! It is always great to learn that SkyPilot solves issues that many teams are dealing with — running & managing AI on multiple clusters/clouds. Thanks for all your interest! Let’s work together to make AI infra better for all!
What an amazing #RaySummit! 100s of conversations revealed the same theme: Managing multiple Slurm/KubeRay/Kueue deployments → more ops complexity, lower GPU utilization. SkyPilot simplifies it → one system to manage every cluster and GPU cloud. 🔗 Give it a try: github.com/skypilot-org/skyp…
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What an amazing #RaySummit! 100s of conversations revealed the same theme: Managing multiple Slurm/KubeRay/Kueue deployments → more ops complexity, lower GPU utilization. SkyPilot simplifies it → one system to manage every cluster and GPU cloud. 🔗 Give it a try: github.com/skypilot-org/skyp…
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We’re excited to sponsor @anyscalecompute's #RaySummit ⭐ Today, Dr. Jim Fan took part in the keynote speech, and we connected with so many talented AI/ML builders to share hands-on insights. Explore how the NVIDIA Developer Program is driving open-source innovation and powering the future of AI ➡️ nvda.ws/4ophYLv
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Great talk on @datologyai trillion token synthetic data pipeline by @hurrycane and Fan Pan at #raysummit!
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Catch Exosphere today at Ray Summit 2025. If you are interested in very large scale AI agents feel free to ping, happy to chat at the summit. #raysummit
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the amount of aura on stage right now is insane #raysummit - founding eng of kubernetes (dawn chen, no x found) - cofounder of anyscale @robertnishihara - lead of vllm @simon_mo_ - ex-lead at pytorch @joespeez
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🚦Green light: win an NVIDIA DGX Spark (~$4,500 AI supercomputer). 🛑Red light: missing us at #RaySummit. Find the hot-pink Squid Game crew, say hi, and enter the raffle. See you tomorrow! 🦑💖
Want a chance to win Nvidia DGX Spark - the $4500 AI super computer? Come visit us at Ray Summit tomorrow!
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If you're heading to #RaySummit, stop by booth T4 to chat with our team about running, managing, and scaling AI workloads across any infrastructure.
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Your infra can’t fix what it can’t see 👀 At #RaySummit 2025, Mengjin Yan & Nikita Vemuri from @anyscalecompute reveal Ray-native observability – dashboards built for distributed AI, storing telemetry in your own cloud Plus: a new Ray Export API to extend monitoring to your stack
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Our CTO, Devansh Ghatak will take the stage at #RaySummit 2025 in San Francisco! 🚀 He's diving deep into "Orchestrating the GenAI Lifecycle with KubeRay," showcasing how to simplify distributed training, fine-tuning, and inference on Kubernetes. 📅 12:30 PM | Nov 4 #GenAI
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