Nebius AI Cloud
by Nebius
Amsterdam-based AI cloud for GPU compute, managed Kubernetes and inference, with gRPC APIs, SDKs and a CLI.
- Category
- Cloud & Data Platforms
- Type
- AI infrastructure
- Interface
- gRPC API
- Built with
- Connect Anything
- Credentials
- Access token, Service account key
02Data
What you can sync.
- Compute instances
- Gpu clusters
- Kubernetes clusters
- Billing
Put Nebius AI Cloud compute instances next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Nebius AI Cloud data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
- A service account key
Nebius AI Cloud uses an access token or a service account key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Nebius if you need help.
04How it works
How it works in DataMind.
-
Pick Nebius AI Cloud.
Open Lake, pick Nebius AI Cloud in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Nebius AI Cloud API docs.
-
Answer a few questions.
The AI reads the Nebius AI Cloud documentation, then asks which credentials you will use, which data to sync (for example compute instances and gpu clusters), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for Nebius AI Cloud, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
