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Prebuilt NVIDIA inference microservices that package models, optimized engines and standard APIs in containers for your own GPUs.
SGLang overview and key facts (October 2026)
Open-source serving framework for language and multimodal models with prefix caching and fast structured output.
Free
What is SGLang?
SGLang is an open-source serving framework for large language and multimodal models, used to run open models on GPU clusters with prefix caching, structured output and several forms of parallelism.
The README describes SGLang as part of LMSYS, a nonprofit open-source organization, and names users such as xAI, NVIDIA, AMD, LinkedIn and Cursor as well as large cloud providers. It supports NVIDIA and AMD GPUs, Intel Xeon CPUs, Google TPUs and Ascend NPUs and offers FP4, FP8, INT4, AWQ and GPTQ quantization. The GitHub API showed about 36,500 stars and a push on September 28, 2026.
SGLang AI features and use cases
- Reuses shared prompt prefixesRadixAttention caches the computation for prompt parts that many requests share, such as long system prompts or retrieved documents. Agent and chat workloads with repeated context need less GPU time per request.
- Returns valid structured dataConstrained generation forces outputs into a JSON schema, and the README states that JSON decoding is up to three times faster with its compressed state machine. Integrations that parse model output into forms or databases fail less often.
- Scales across GPU clustersTensor, pipeline, expert and data parallelism spread large models across many GPUs. Platform teams can serve large mixture-of-experts models in their own infrastructure.
What sets SGLang apart
- Prefix caching through RadixAttention is a core design element, which suits agent workloads with long shared context.
- Runs on Ascend NPUs and Google TPUs in addition to NVIDIA and AMD GPUs.
Where SGLang is strongest
Available internationally
Open-source software with no country restriction that runs in your own data center or any cloud region.
Questions to ask before you buy SGLang
SGLang targets GPU clusters and needs an operations team that can deploy, tune and update it. There is no vendor support contract for the open-source project. Check the licenses of the models you serve and benchmark SGLang against alternatives on your own workload before standardizing.
SGLang reviews
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Questions about SGLang
Is SGLang free for commercial use?
Yes, it is released under the Apache 2.0 license, which permits commercial and private use.
Who maintains SGLang?
According to the README, the project operates under LMSYS, a nonprofit open-source organization, with a large contributor community.
Does SGLang offer an OpenAI-compatible API?
Yes, the README lists an OpenAI-compatible API as the standard way to integrate existing tools.
SGLang update historyno updates yet
No changes recorded for SGLang yet.
Changes the vendor made and confirmed user reports, each checked against the vendor's own pages. We review every tool monthly.
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