Paperspace Gradient vs Ray Train
Paperspace Gradient
paperspace.comRay Train
ray.ioSide by side
| Figure | Paperspace Gradient | Ray Train |
|---|---|---|
| Price from | $8/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 17 | 1 |
| Spec score · Deep Learning Software | 8.8 (#3) | 7.4 (#25) |
| Intended users | The pricing page describes plans for beginners and individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups. | Ray’s security documentation describes Ray developers running local single-node clusters or remote multi-node clusters on infrastructure provided by platform providers. |
| Purpose | Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models. | Ray Train distributes model training compute to worker processes across a Ray cluster. |
| Security | Paperspace describes centralized permissions and activity logs, and says its security team monitors threats around the clock. | Ray supports built-in token authentication starting in version 2.52.0, while its security guidance calls for controlled networks and trusted code. |
| Support | Paperspace lists free ticket-based support seven days a week and contract-based enterprise support with infrastructure assistance and customer success managers. | The Ray site offers a community Slack, forums, and documentation, and says Anyscale offers hands-on training and expert support. |
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
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.