Serverless AI
From idea to GPU in minutes — with no infrastructure complexity!
Run AI in minutes
Run GPU workloads in minutes without waiting for clusters to be provisioned, configured and validated.
No infrastructure overhead
No cluster setup, drivers, network configuration or orchestration required.
Pay only for what you use
Pay only while workloads are running — no idle GPU costs.
Scale instantly when needed
Provision additional compute on demand when workloads require more capacity.
Serverless services on Nebius
Nebius Serverless AI provides three services that support different stages of the AI workflow.
Jobs
Runtime for executing containerized finite workloads that start, run and complete.
Best for:
- batch processing
- training experiments
- scientific simulations
Endpoints
Inference environment for deploying custom models behind HTTP endpoints.
Best for:
- custom model serving
- running evaluation workloads
- testing inference pipelines
DevPods
Interactive dev environments with preinstalled tools like Jupyter and VS Code.
Best for:
- exploratory data analysis
- model prototyping
- debugging training code
Getting started with Serverless AI on Nebius AI Cloud
Getting started with Serverless AI on Nebius AI Cloud
This short video demonstrates how quickly set up and launch Jobs and Endpoints on Nebius AI Cloud.
Support the full AI lifecycle
Serverless AI complements Nebius’ core offering of high-performance AI clusters for large-scale training.
Prototype
Prototype ideas and debug code in DevPods.
Experiment
Run training experiments or batch processing with Jobs.
Run
Run training, fine-tuning and simulation workloads with Jobs.
Validate and serve
Validate inference pipeline and serve models through Endpoints.
Get started
Launch your first workload now by creating an account via the Nebius web console or CLI.
