Paperspace Gradient
8.3#1 in deep learning softwareFrom $8 a monthFree planWebAPIExtensionLinux
VisitPaperspace Gradient vs PyTorch
What both publish
| Fact | Paperspace Gradient | PyTorch |
|---|---|---|
| Model serving | Deployments serve machine learning models as API endpoints and provide options for runtimes, instance types, and autoscaling. | TorchServe supports deploying PyTorch models at scale, including multi-model serving, logging, metrics, and REST endpoints. |
| Purpose | Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models. | PyTorch enables fast, flexible experimentation and efficient production through a user-friendly front end, distributed training, and an ecosystem of tools and libraries. |
Paperspace Gradient plans
- Free (Individual)Free
- Pro (Individual)$8 a month
- Growth (Individual)$39 a month
- Free (Team)Free
- Pro (Team)$12 a month
- Growth (Team)$39 a month
PyTorch plans
No prices published.
Pick Paperspace Gradient if…
Gradient is aimed at people and teams developing or serving machine learning models, including engineers, data scientists, researchers, and startups. Its browser notebooks, collaboration features, and deployment endpoints support different stages of model work.
Pick PyTorch if…
PyTorch suits developers, researchers, and enterprises building or deploying AI. It can also suit teams needing Python or C++ workflows and multiple deployment options.