Determined AI
Distributed training and hyperparameter search, self-hosted.
89
sovereigntyDetermined is a training platform rather than a tracker: it schedules jobs on a GPU cluster, handles distributed training and fault tolerance, runs state-of-the-art hyperparameter search, and tracks the results as a by-product. That is the shape of W&B Sweeps plus the compute orchestration underneath, self-hosted and Apache-2.0. It is the right pick when hyperparameter search across a cluster is the actual requirement rather than logging.
OPEN SOURCEApache-2.0SELF-HOSTLOCAL-FIRST
LicenseApache-2.0
PricingFree and Apache-2.0, self-hosted on your own cluster.
Open sourceYes
Self-hostableYes
Local-first dataYes
What it does well
- +Distributed training and cluster scheduling built in
- +Advanced hyperparameter search including early stopping
- +Fault tolerance and checkpoint management handled for you
- +Apache-2.0
Where it falls short
- −Assumes you have a GPU cluster to schedule onto
- −Overkill if you only need to log runs
- −Smaller community than MLflow's
Determined AI as an alternative to
Where Determined AI shows up in our comparisons, and how it ranked.
Determined AI head-to-head
Straight comparisons against the tools people weigh it against.