From 114837854fdc1c94d36ce0ffcde6cd0d16f87a97 Mon Sep 17 00:00:00 2001 From: Yineng Zhang Date: Mon, 21 Jul 2025 14:02:48 -0700 Subject: [PATCH] docs: update 2025 h2 roadmap (#8237) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b19a9cdab..0a0a78577 100644 --- a/README.md +++ b/README.md @@ -62,7 +62,7 @@ The core features include: Learn more in the release blogs: [v0.2 blog](https://lmsys.org/blog/2024-07-25-sglang-llama3/), [v0.3 blog](https://lmsys.org/blog/2024-09-04-sglang-v0-3/), [v0.4 blog](https://lmsys.org/blog/2024-12-04-sglang-v0-4/), [Large-scale expert parallelism](https://lmsys.org/blog/2025-05-05-large-scale-ep/). ## Roadmap -[Development Roadmap (2025 H1)](https://github.com/sgl-project/sglang/issues/4042) +[Development Roadmap (2025 H2)](https://github.com/sgl-project/sglang/issues/7736) ## Adoption and Sponsorship SGLang has been deployed at large scale, generating trillions of tokens in production each day. It is trusted and adopted by a wide range of leading enterprises and institutions, including xAI, AMD, NVIDIA, Intel, LinkedIn, Cursor, Oracle Cloud, Google Cloud, Microsoft Azure, AWS, Atlas Cloud, Voltage Park, Nebius, DataCrunch, Novita, InnoMatrix, MIT, UCLA, the University of Washington, Stanford, UC Berkeley, Tsinghua University, Jam & Tea Studios, Baseten, and other major technology organizations across North America and Asia. As an open-source LLM inference engine, SGLang has become the de facto industry standard, with deployments running on over 1,000,000 GPUs worldwide.