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Your own private MLflow server.

Running in a minute. One flat server price, with no seat or usage charges.

mlflow Compare
Live
RunsCompare
Metrics (2)   ·   Last 30 days
Run (2)StatusStart timeDuration
resnet50-lr1e-3FINISHEDMay 12, 10:211h 42m
resnet50-lr5e-4FINISHEDMay 12, 10:181h 39m
loss (val)epoch
1.20.80.40255075100
lr 1e-3lr 5e-4
accuracy (val)epoch
1.0.75.500255075100
lr 1e-3lr 5e-4

Illustrative MLflow run comparison

One price for the whole team

The server costs one flat fee. Invite everyone without paying per seat.

We run the server

We handle the server, updates, and nightly backups. Support is available in the dashboard when you need it.

HTTPS and individual sign-in

Every connection uses HTTPS, backups run nightly, and each team member signs in through OpenID Connect.

Check on training while you grab coffee.

Trackshund for mobile is a native MLflow client.

It has native charts for every metric, side-by-side run comparisons, model registry access, notifications when training metrics move in or out of range, and plain-language briefs for finished runs.

The app also works with any self-hosted MLflow instance. MLflow's server guide explains how to set one up.

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  • Trackshund on iPhone showing a live training run with a falling loss curve and its current step

    See live runs at a glance

  • A grid of iPhone metric charts showing accuracy, learning rate, throughput, and training loss

    View every metric

  • Creating an alert in Trackshund on iPhone for a run that finishes, fails, crosses a value, or looks off

    Set alerts for the run events you care about

One price for the whole team.

You pay $40 for the server, regardless of team size. Adding a colleague does not change the bill.

Standard

$40 per month

One flat price covers the whole team.

100 GB of artifact storage

Deploy your server

Every server includes

  • One private MLflow server
  • Unlimited team members
  • Nightly backups
  • Your own URL, HTTPS, and sign-in for everyone you invite
  • Data retained for 30 days after server deletion