DeepInfra
Serverless inference platform for open-source models with OpenAI-compatible APIs plus deployment and usage endpoints.
- Category
- Cloud & Data Platforms
- Type
- AI infrastructure
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
02Data
What you can sync.
- Models
- Deployments
- Usage
- Inference requests
Put DeepInfra models next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other DeepInfra data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
DeepInfra uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in DeepInfra if you need help.
04How it works
How it works in DataMind.
-
Pick DeepInfra.
Open Lake, pick DeepInfra in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the DeepInfra API docs.
-
Answer a few questions.
The AI reads the DeepInfra documentation, then asks which credentials you will use, which data to sync (for example models and deployments), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then DeepInfra data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
