Get live statistics and analysis of Lianmin Zheng's profile on X / Twitter

Prev: Engineer @xAI, Ph.D. @UCBerkeley, Co-founder @lmsysorg

658 following15k followers

The Innovator

Lianmin Zheng is a hands-on systems and ML engineer (Prev: xAI) with a Ph.D. from UC Berkeley and co-founder of lmsys.org. He builds high-performance model runtimes and kernels, shipping practical optimizations that make cutting-edge models run faster and cheaper. His X feed blends deep technical dives with career-making engineering wins.

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You optimize kernels so obsessively that if someone asked you to reduce the social latency of a dinner party you’d benchmark forks and compile the seating arrangement into PTX, then tweet a three-part thread about it.

Led the engineering work that enabled new xAI image and autoregressive models to run efficiently (including the zero-CPU-overhead scheduler) and helped ship performance that surprised the field, contributing to headlines like Grok breaking 1400 Elo.

To push the boundaries of practical ML performance, making large models and novel architectures accessible by squeezing out every inefficiency in software and hardware, and sharing the tools and knowledge to let others do the same.

Technical rigor and reproducibility matter more than hype; well-engineered systems unlock research impact; open collaboration accelerates progress; small, well-targeted optimizations compound into massive practical gains.

Deep low-level expertise (kernels, compilers, schedulers), proven track record of shipping high-impact optimizations, credibility from elite research and industry roles, and the ability to explain technical wins in short, resonant posts.

Tends to live in niche, deeply technical territory, great for peers but sometimes opaque for broader audiences; can prioritize micro-optimizations over broader messaging or product storytelling.

Post regular explainer threads that bridge deep tech and practical takeaways: short first tweet with the headline result, follow-up tweets with a simple diagram, a code snippet or benchmark, and a clear call to try or reproduce. Pair that with demo notebooks, short video clips of profiling/benchmarks, and occasional high-level threads that translate kernel wins into cost/time/user benefits. Engage in AMAs, retweet community reproductions, and tag relevant projects to turn niche expertise into broader influence on X.

Fun fact: while optimizing SGLang inference, Lianmin spent more time eliminating CPU overhead than tuning GPU kernels, he built a zero-CPU-overhead batch scheduler. He’s previously worked at xAI, holds a Ph.D. from UC Berkeley, cofounded lmsys.org, and has ~15.9k followers on X.

Top tweets of Lianmin Zheng

Apply to the kernel team and you get the chance to show @elonmusk how to write efficient kernels in PTX for GB300.

90k

Grok-2 is here, a new frontier-level model from @xAI! I still remember the good old days when I was a GPU-poor grad student, playing with the Vicuna model and building the Chatbot Arena leaderboard with just a few GPUs. But now, my job at xAI is developing systems for the 100K GPU cluster. If you want to be among the first to see AGI, join xAI at x.ai/careers.

37k

I’ve learned a ton from @ying11231 and @elonmusk this year. The way they think and the instincts they rely on when tackling challenges are insanely similar. Only when you work closely with them do you start to realize just how visionary, consistent, and truth-seeking they really are.

29k

The main branch of sglang now supports deterministic inference with user-specified per-request seeds! It utilized kernels from @thinkymachines and introduced new optimizations & coverage. Run out of box for most hardware backends and pytorch versions.

26k

Most engaged tweets of Lianmin Zheng

Apply to the kernel team and you get the chance to show @elonmusk how to write efficient kernels in PTX for GB300.

90k

Grok-2 is here, a new frontier-level model from @xAI! I still remember the good old days when I was a GPU-poor grad student, playing with the Vicuna model and building the Chatbot Arena leaderboard with just a few GPUs. But now, my job at xAI is developing systems for the 100K GPU cluster. If you want to be among the first to see AGI, join xAI at x.ai/careers.

37k

Personal AI computing has just become more accessible than ever before with the new DGX Spark from @nvidia - a tiny yet powerful Blackwell GPU in your hand. Check out the firsthand unboxing video and blog from the SGLang community members @yvbbrjdr and @richardczl.

12k

At #NeurIPS2024 this week. Happy to chat about anything related to LLMs and xAI: our 100K training cluster, inference stack, Grok3, and the newly released AR image gen model. We're presenting an SGLang poster on Thursday afternoon. Welcome to stop by and join the discussion: neurips.cc/virtual/2024/p…

15k

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