- Primary focus
- Run and deploy machine learning models via a simple cloud API
- Deployment
- Not specified
- Source model
- Other license
- Pricing model
- paid
- API available
- Yes
- Windows desktop
- Not specified
- Mobile app
- Not specified
- Overview
- Replicate lets developers call thousands of public open-source models or deploy their own via Cog, its open-source packaging tool, billed by actual compute time with no permanent free tier.

| Attribute | ||
|---|---|---|
| Overview | ||
| Primary focus | Run and deploy machine learning models via a simple cloud API | Managed platform for Ray, scaling AI/ML and Python workloads from a laptop to a cluster. |
| Deployment | Not specified | Self-hosted |
| Source model | Other license | Other license |
| Pricing model | paid | paid |
| API available | Yes | Yes |
| Windows desktop | Not specified | Not specified |
| Mobile app | Not specified | Not specified |
| Overview | Replicate lets developers call thousands of public open-source models or deploy their own via Cog, its open-source packaging tool, billed by actual compute time with no permanent free tier. | Anyscale is the company behind Ray, the open-source distributed computing framework born at UC Berkeley's RISELab. Its managed platform runs training, batch inference, and LLM serving workloads on autoscaling Ray clusters, hosted or in your own cloud (BYOC). |
| Explore further | ||
| Vendor website | Visit vendor ↗ | Visit vendor ↗ |
| ITHub profile | View full profile → | View full profile → |
- Primary focus
- Managed platform for Ray, scaling AI/ML and Python workloads from a laptop to a cluster.
- Deployment
- Self-hosted
- Source model
- Other license
- Pricing model
- paid
- API available
- Yes
- Windows desktop
- Not specified
- Mobile app
- Not specified
- Overview
- Anyscale is the company behind Ray, the open-source distributed computing framework born at UC Berkeley's RISELab. Its managed platform runs training, batch inference, and LLM serving workloads on autoscaling Ray clusters, hosted or in your own cloud (BYOC).
ⓘ Confirm technical details and prices with each vendor before making a decision.