# PyTorch vs SGLang — Fit & Features

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

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

## Compare fit, features, and limitations

### PyTorch
Build and train deep learning models with an open-source tensor framework.
Best fit: Machine learning teams building, serving, and operating model workloads.
- Tensor computation
- Neural networks
- Model training
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://pytorch.org
- [Read PyTorch profile](https://trutool.co/tools/pytorch): Read PyTorch 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