SGLang
Partial infoFast serving engine with structured generation and RadixAttention.
SGLang is an Apache-2.0 serving engine optimized for high throughput and complex/structured generation, using RadixAttention for prefix caching. It is increasingly used for large-scale open-model serving.
License
Open source (Apache-2.0)
Deployment
Self-hosted
Pricing
Free and open-source; you provide the GPUs.
SDKs / languages
Python, Any (OpenAI API)
Founded
2024
Strengths
- Excellent throughput
- Strong structured-output support
- Prefix caching (RadixAttention)
Limitations
- You operate the GPUs
- Newer than vLLM/TGI
Alternatives
Baseten
Deploy and scale model inference in production.
Fireworks AI
Fast managed inference for open models and fine-tunes.
Groq
Ultra-low-latency inference on custom LPU hardware.
LM Studio
Desktop app to run local LLMs with a GUI and local server.
Modal
Serverless GPU compute for AI workloads.
Ollama
Run open LLMs locally with one command.
Facts verified 19 July 2026. Neutral summary, not an endorsement; verify current details with the vendor.