ML lifecycle management, without the ops

Track experiments, manage models, and govern what goes to production, powered by MLflow, the widely-adopted open-source standard
for ML lifecycle management.

Industry-standard tooling, ready to run

Start tracking results the moment you need to. MLflow Tracking and Model Registry, available as a managed service with no setup required.

No infrastructure hassle

Skip server provisioning, database configuration, and version maintenance. Focus on building models, not keeping tools alive.

Runs where your training does

Training jobs and experiment tracking run in the same environment. Metrics land in MLflow instantly, artifacts stay on the platform, and there’s nothing to wire up between your cluster and your tracking server.

Support across the full model lifecycle

MLflow Tracking and Model Registry cover every stage — from first run to inference.

1. Experiment

Log hyperparameters, metrics, and artifacts across every run. Compare results side by side in the UI.


MLflow capabilities:

  • MLflow Tracking

2. Train

Capture metrics during pre-training and fine-tuning. Register promising checkpoints as versioned model artifacts.


MLflow capabilities:

  • MLflow Tracking
  • MLflow Model Registry

3. Evaluate

Compare candidate models, assign versions, and move the best through staging to production-ready status.


MLflow capabilities:

  • MLflow Model Registry

4. Deploy

Hand off the production-ready model to your inference pipeline. Full lineage and versioning stay intact, so you always know what’s running and why.


MLflow capabilities:

  • MLflow Model Registry

ModelOps built for how ML teams actually work

Launch experiments and training runs with MLflow tracking built into the same environment, whether you’re running Serverless Jobs or large-scale Slurm clusters. Every run is captured without data leaving the platform, and permissions for your whole team are managed from a single Nebius project. Onboard a new member, share an experiment, or lock down a production model, all without juggling separate tools or accounts.

Get started

Start in the Nebius console at your own pace, or reach out to our team if you have questions about the tooling or your specific setup.