PaddlePaddle vs Paperspace Gradient
PaddlePaddle
paddlepaddle.org.cnPaperspace Gradient
paperspace.comSide by side
| Figure | PaddlePaddle | Paperspace Gradient |
|---|---|---|
| Price from | — | $8/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 17 |
| Spec score · Deep Learning Software | 7.4 (#24) | 8.8 (#3) |
| Intended users | The documentation recommends pip installation for users who only need to use PaddlePaddle and source compilation for developers who need to develop the framework. | The pricing page describes plans for beginners and individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups. |
| Purpose | PaddlePaddle describes itself as an efficient, flexible, extensible deep learning framework intended to make deep learning innovation and application easier. | Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models. |
| Self hosting | The framework can be compiled from source on Linux, and its documentation recommends Docker as a simpler compilation environment. | Enterprise Gradient can be hosted on private cloud, on-premises infrastructure, or private clusters and is marketed as running without limits. |
Plans
Paperspace Gradient
- 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
- T0Free
- T1$12 a month
- FreeFree
- FreeFree
In their own words
PaddlePaddle
PaddlePaddle has no write-up on Specifiction yet; its figures are above.
Paperspace Gradient
Paperspace Gradient is a machine learning platform for building, tracking, and collaborating on models. Its browser-based IDE launches GPU-enabled Jupyter notebooks; teams can share projects, invite collaborators, and connect GitHub to manage code and compute resources. Notebook environments run in Docker containers. For deployment, Gradient serves models through API endpoints, with runtime, instance-type, and autoscaling choices. On-demand GPU and IPU instances are available, and paid instance utilization can cost extra beyond plan fees. Gradient supports major machine learning frameworks and libraries. Plans include free options and paid options listed from $8/mo; individual and team plans have different storage allowances, and notebook plans specify limits on notebooks and running sessions. Gradient is offered for beginners, ML/AI engineers, data scientists, researchers, teams, research groups, and startups. Paperspace also lists a Windows, macOS, and Linux beta desktop app, along with centralized permissions and activity logs.