LLMs & AI Infra LLM Serving stable
SGLang
Fast serving framework for LLMs and vision-language models
8.0K stars
150 contributors
Since 2024
High-performance serving framework using RadixAttention for prefix caching, compressed finite state machines for structured output, and multi-modal support.
License
Apache-2.0
Min RAM
8 GB
Min CPUs
4 cores
Scaling
horizontal
Complexity
advanced
Performance
enterprise grade
Self-hostable
✓
K8s native
✓
Offline
✕
Pricing
fully free
Docs quality
good
Vendor lock-in
none
Use cases
- ✓ Structured JSON output from LLMs at scale
- ✓ Vision-language model serving
- ✓ Prefix caching for repeated prompt patterns
Anti-patterns / when NOT to use
- ✕ Newer project — less battle-tested
- ✕ Smaller community than vLLM
- ✕ Documentation still maturing
Integrates with
Hugging Face Transformers
NLP
openai-api
Complements
Compare with alternatives
Replaces / alternatives to
Technical specs
Language
Python
API type
REST
Protocols
HTTP
Deployment
pipdocker
SDKs
python
Community
GitHub stars 8.0K
Contributors 150
Commit frequency daily
Plugin ecosystem none
Backing UC Berkeley
Funding vc_backed
Release
Latest version
— Last release —
Since 2024
Best fit
Team size
smallmediumenterprise
Industries
general