- Primary focus
- Serverless GPU inference API for 100+ open-source AI models
- Deployment
- Not specified
- Source model
- Other license
- Pricing model
- paid
- API available
- Yes
- Windows desktop
- Not specified
- Mobile app
- Not specified
- Overview
- DeepInfra provides pay-as-you-go, serverless GPU inference APIs for 100+ open-source AI models covering text generation, text-to-speech, text-to-image and embeddings, without customers managing their own GPU infrastructure.

| Attribute | ||
|---|---|---|
| Overview | ||
| Primary focus | Serverless GPU inference API for 100+ open-source AI models | 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 | DeepInfra provides pay-as-you-go, serverless GPU inference APIs for 100+ open-source AI models covering text generation, text-to-speech, text-to-image and embeddings, without customers managing their own GPU infrastructure. | 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.