Paperspace Gradient vs Red Hat OpenShift Dev Spaces
Paperspace Gradient
paperspace.com
Red Hat OpenShift Dev Spaces
developers.redhat.comSide by side
| Figure | Paperspace Gradient | Red Hat OpenShift Dev Spaces |
|---|---|---|
| Price from | $8/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 17 | 1 |
| Spec score · Coding Playgrounds | 9.1 (#10) | 7.4 (#111) |
| Purpose | Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models. | Provides cloud development environments for enterprise developers and AI agents, built on the open source Eclipse Che project. |
| Security controls | Paperspace describes centralized permissions, resource protections, activity monitoring, historical logs, and round-the-clock threat monitoring. | Uses OpenShift project isolation, role-based access control, security context constraints, resource quotas, and limit ranges. |
| Support | Paperspace lists free ticket-based support seven days a week and contract-based enterprise support with infrastructure assistance and customer success managers. | Red Hat provides support for deployment, configuration, and use of OpenShift Dev Spaces 3.26. |
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
Red Hat OpenShift Dev Spaces
- Included with Red Hat OpenShift subscriptionPriced on request
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.
Red Hat OpenShift Dev Spaces
Red Hat OpenShift Dev Spaces has no write-up on Specifiction yet; its figures are above.