@ivzhou

Partner, @Accel

 San Francisco
linkedin.com/in/ivanzhou
Joined May 2013
  • Tweets690
  • Following169
  • Followers1.1K
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Ivan Zhou retweeted
SemiAnalysis
@SemiAnalysis_1h
SemiAnalysis is an active supporter of open source in the ML community! As such, we are excited to sponsor the open-source SGLang Summit! SGLang is one of the engines that power production inference across many frontier labs globally! At the summit, we’ll share more about our collaboration with SGLang, including our latest AgentX benchmarks. xitter.cf/sgl_project/status/211…
SGLang
@sgl_projectOct 16
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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Ivan Zhou retweeted
Ling Yang
@LingYang_PUOct 18
SGLang became the infra for serving LLMs. @PhAILabs is building the infra for AI-driven science. Proud to see PhAI support the @sgl_project community at SGLang Summit — open infrastructure is how both AI and science scale. 📅 Nov 12–13 · Fort Mason, SF
SGLang
@sgl_projectOct 16
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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We're incredibly proud to support and join the @sgl_project community at the SGLang Summit. @PhAILabs Can't wait to connect with everyone there!
SGLang
@sgl_projectOct 16
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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It’s an absolute honor to sponsor and be a part of the @sgl_project SGLang Summit. Looking forward to learning and sharing with this amazing community!
SGLang
@sgl_projectOct 16
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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Ivan Zhou retweeted
Eigent AI
@Eigent_AIOct 17
Proud to support the SGLang Summit 🧡 Come find our team to chat about RL Environments and Agents!
SGLang
@sgl_projectOct 16
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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Welcome to SGLang Summit!
0xSero
@0xSeroOct 15
Sglang summit let's go! My preferred engine.
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Ivan Zhou retweeted
Yotta Labs
@YottaLabsOct 17
Super excited to support SGLang Summit 2026! During the summit, our Chief Scientist, Dong Li, will give a talk about MoE Optimization on SGLang-Trainium. In this talk, he will cover our efforts to add new MoE models and optimize their inference latency with SGLang-Trainium. Come join the talk or find us at our booth during the summit!
SGLang
@sgl_projectOct 16
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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Ivan Zhou retweeted
0xSero
@0xSeroOct 15
Sglang summit let's go! My preferred engine.
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Ivan Zhou retweeted
DeepInfra
@DeepInfraOct 17
Proud to sponsor SGLang Summit. We'll see you there!
SGLang
@sgl_projectOct 16
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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Ivan Zhou retweeted
SGLang
@sgl_projectOct 16
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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Ivan Zhou retweeted
Ornith
@ornith_Oct 17
🙌
SGLang
@sgl_projectOct 16
Proud to welcome our newest sponsors to SGLang Summit. In just one week since our public announcement, our sponsor lineup has grown from 11 to 36. Thank you to every sponsor helping bring this community together. Join 2,000+ engineers, researchers, and builders from across the AI ecosystem for technical sessions, hands-on workshops, and the GPU Expo. Hear from Lip-Bu Tan, Lilian Weng, Soumith Chintala, Aravind Srinivas, and more. Meet the teams building across AI hardware, infrastructure, models, and applications. 🗓️ November 12–13, 2026 🌉 Fort Mason, San Francisco 🎟️ Get your tickets: sglang.io/summit
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Ivan Zhou retweeted
Cyrus
@cyrusasgOct 16
i'll be speaking at sglang summit in SF, nov 12-13! going to walk through the post-training and inference work we’ve been doing at Decagon, and how we scaled out our RL training pipelines to ~1T param models if you’re going, let’s say hi! sglang.io/summit @sgl_project
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Ivan Zhou retweeted
Chetan Tekur
@chetantekurOct 16
Thanks to the amazing team at @sgl_project for working closely with us on optimizing Beam both for 3P users and also for our Beam's production API. Fun fact, Jimmy from SGLang team was working with us in our office till late last night wrapping up the last pieces of this launch. This is the sort of collaboration that has lead us to have such a broad release. 🤝
SGLang
@sgl_projectOct 16
SGLang powers Beam’s production API, with day-0 support now available to everyone! Built for software engineering and long-horizon agents, Beam delivers frontier-level inference efficiency with more intelligence per token. Serve it on the same production-proven stack: docs.sglang.io/cookbook/auto… Read more: lmsys.org/blog/2026-10-16-be…
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Ivan Zhou retweeted
SGLang
@sgl_projectOct 16
SGLang powers Beam’s production API, with day-0 support now available to everyone! Built for software engineering and long-horizon agents, Beam delivers frontier-level inference efficiency with more intelligence per token. Serve it on the same production-proven stack: docs.sglang.io/cookbook/auto… Read more: lmsys.org/blog/2026-10-16-be…
Reflection
@reflection_aiOct 16
Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners. We're releasing: - Weights, tokenizer, and reference implementation - BF16, FP8 and NVFP4 weights and a DFlash2 drafter - The open source harness we built and trained Beam on: Mirror CLI Weights and model card on Hugging Face: huggingface.co/reflection
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Ivan Zhou retweeted
RadixArk
@radixarkOct 16
Our team worked with @reflection_ai to get Beam running on SGLang, and it now serves their production API. Beam is also supported in Miles for RL training. Congrats to the Reflection team on the launch!
SGLang
@sgl_projectOct 16
SGLang powers Beam’s production API, with day-0 support now available to everyone! Built for software engineering and long-horizon agents, Beam delivers frontier-level inference efficiency with more intelligence per token. Serve it on the same production-proven stack: docs.sglang.io/cookbook/auto… Read more: lmsys.org/blog/2026-10-16-be…
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Ivan Zhou retweeted
LMSYS Org
@lmsysorgOct 16
Congrats to @reflection_ai on launching Beam! SGLang serves it in production at Reflection, and starting today anyone can run it on SGLang too. Thanks to the Reflection engineers who worked with the SGLang community to get it ready for launch!
SGLang
@sgl_projectOct 16
SGLang powers Beam’s production API, with day-0 support now available to everyone! Built for software engineering and long-horizon agents, Beam delivers frontier-level inference efficiency with more intelligence per token. Serve it on the same production-proven stack: docs.sglang.io/cookbook/auto… Read more: lmsys.org/blog/2026-10-16-be…
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Ivan Zhou retweeted
SGLang
@sgl_projectOct 15
Muse Spark Open is built to plan, act, and use computer across agentic tasks for life and work. You can now build a powerful personal AI agent with an open stack, and SGLang to make it: - Ultra-responsive with NVFP4 MegaMoE and sequence parallelism - Faster for agentic and coding tasks with our DFlash2 draft model - Customizable for specialized use cases via fine-tuning with Miles We’re incredibly proud to have made this possible with @AIatMeta, @NVIDIAAI, @AIatAMD, @intel, and @radixark!
AI at Meta
@AIatMetaOct 15
Today we’re releasing Muse Spark Open, the most capable US open-weight model to date. Built for coding and agentic work, it excels at long-horizon tasks, complex software engineering, and multi-step reasoning. Key Model Specs: → 816B total / 42B active parameters → 1M token context window → Natively multimodal across text, image, video, audio
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Ivan Zhou retweeted
Decagon
@DecagonAIOct 15
Introducing Duet Apprentice. Build and improve agents with the context already in your onboarding docs, customer escalations, and Slack conversations.
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Ivan Zhou retweeted
Sara Du
@saraduOct 14
this week we onboarded a wholesale chemicals company, a massive farm, a film studio, and one of the largest home services booking platforms collecting industries like pokémon 😆
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Ivan Zhou retweeted
SGLang
@sgl_projectOct 14
SGLang has Day-0 support for Ling-3.1-flash from @AntLingAGI! A 560B MoE hybrid reasoning model, 25B active, 1M context, built for real work: it turns a rough brief into a page, mobile UI, or interactive prototype. ✅ MXFP4 + block-FP8 quantization cuts weights from ~534GB to ~292GB, fitting on 4 Hopper GPUs ✅ Strong on real-world agent, office, and coding tasks, including GDPVal-AA, FrontierSWE, and Terminal-Bench 4.0. Get started with SGLang:
Ant Ling
@AntLingAGIOct 14
Ling-3.1-flash is now open source: ~560B total parameters, ~25B active per token and up to 1M context. Built for real work, it can turn a rough brief into a page, mobile UI or interactive prototype teams can review and refine. See the demo.
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