# NVIDIA NIM vs SGLang — Fit & Features

Canonical: https://trutool.co/compare/nvidia-nim-vs-sglang
Author: Snehil (https://trutool.co/authors/snehil)

Compare NVIDIA NIM and SGLang by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### NVIDIA NIM
Deploy optimized inference microservices for supported AI models.
Best fit: Machine learning teams building, serving, and operating model workloads.
- Model inference
- Deployment microservices
- Accelerated serving
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://docs.nvidia.com/nim/
- [Read NVIDIA NIM profile](https://trutool.co/tools/nvidia-nim): Read NVIDIA NIM profile

### SGLang
Serve generative models with a high-performance inference framework.
Best fit: Machine learning teams building, serving, and operating model workloads.
- Model serving
- Inference optimization
- API integration
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://docs.sglang.io/
- [Read SGLang profile](https://trutool.co/tools/sglang): Read SGLang profile