NG

Managed Service for MLflow

Developer tool

by Nebius Group

Fully managed MLflow deployment on Nebius AI Cloud for tracking experiments, metrics and artifacts across the machine-learning lifecycle without maintaining tracking-server infrastructure.

Find alternatives to Managed Service for MLflow

Free during preview. The product page states the service is provided free of charge at the preview stage and that it will become a paid service, pointing to the billing documentation for future rates. nebius.com/prices lists it among managed services with no rate line, so no starting_price is asserted.

What it does

• Evaluation and observability
• Model training

Sources

Pricing

Official documentation · 6 Sep 2026

Provided free of charge during preview, with a stated intention to become paid; rates deferred to the billing documentation.

Sold within

Official documentation · 6 Sep 2026

Delivered as a managed service inside Nebius AI Cloud and provisioned from the Nebius console; no standalone purchase path or separate signup. Reached from the /modelops layer page of AI Cloud.

URL

Official documentation · 6 Sep 2026

Own product page, H1 'Managed Service for MLflow' - 'a fully managed, ready-to-work cloud solution' providing an industry-leading tool for managing the machine learning lifecycle. Listed in nebius.com/server-sitemap.xml; independently re-fetched, confirming it is in preview and carries no cost.

Also from Nebius Group

• Nebius AI Cloud Infrastructure service

  Rented GPU clusters with storage and networking for training and serving models, billed by the GPU-hour.

• Nebius Token Factory Model API

  Managed inference endpoint serving open-weight models on Nebius hardware, billed per token.

• Managed Soperator Infrastructure service

  Nebius-managed Kubernetes operator that runs Slurm clusters on GPU infrastructure for fault-tolerant large-scale AI training, with topology-aware scheduling and automatic node health checks and recovery.

• Serverless AI Infrastructure service

  Nebius AI Cloud's on-demand GPU runtime that runs containerised AI workloads as Jobs and hosts custom models behind HTTP Endpoints without provisioning or managing clusters.

Open Nebius Group in the directory

Something wrong here? Send a correction — quote this product id: nebius-managed-mlflow.