Overview
Description
SGLang is a high-performance serving framework that powers trillions of tokens daily for leading AI companies across 400,000+ GPUs. It handles large language models and multimodal models on any hardware—NVIDIA, AMD, Intel, Google TPU, or Ascend NPU. The bottom line: production-tested inference at scale, trusted by xAI, NVIDIA, AMD, and more.
Technical scorecard
License
Apache-2.0
Commercial use
Yes
OpenAI-compatible API
Yes
REST API
Yes
Fine-tuning support
No
Quantization support
Yes
Docker available
Yes
GUI / no-code available
No
Telemetry
Unknown
Offline after setup
Yes
Data & Privacy
Does it send data online?
After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Deploying SGLang in production?
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Request Privacy and Telemetry AuditSetup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://github.com/sgl-project/sglangHardware Requirements
Works Well With