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SGLang is designed to deliver low-latency and high-throughput inference across a wide range of setups, from a single GPU to large distributed clusters. Its core features include a fast backend runtime with efficient serving, extensive model support for generative and embedding models, and compatibility with various hardware platforms including NVIDIA and AMD GPUs, TPUs, and more. It offers a flexible frontend language for programming LLM applications and is supported by an active open-source community.
214
companies
Technology Usage Statistics and Market Share
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There are 9 alternatives to SGLang
SGLang is used in 22 countries
Frequently asked questions
We have data on 214 companies that use SGLang. Our SGLang customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology
is any of
SGLang
| Company | Country | Industry | Employees | Revenue | Technologies |
|---|---|---|---|---|---|
United States | Computer Hardware Manufacturing | 46K | $27B | ![]() SGLang | |
United States | Semiconductor Manufacturing | 55K | $23B | ![]() SGLang | |
China | Software Development | 46K | $62B | ![]() SGLang | |
United States | Software Development | 286 |
| ![]() SGLang | |
United States | Software Development | 2.3K | $576M | ![]() | |
United States | Computer Hardware Manufacturing | 269 |
| ![]() SGLang | |
United States | Semiconductor Manufacturing | 150K | $79B | ![]() | |
United States | Semiconductor Manufacturing | 246 |
| ![]() SGLang | |
United States | Computer Hardware Manufacturing | 1.1K | $24M | ![]() | |
United States | Software Development | 237K | $198B | ![]() |
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