Determined
Determined AIMachine-learning platform for distributed training, hyperparameter search and experiment tracking on a cluster it manages itself. An experiment configuration names slots_per_trial, and Determined's scheduler allocates that many GPUs - spanning whole agent machines where the number requires it - so every trial starts with all its resources at once. Searchers run many trials against one configuration.
Acquired by HPE, where it ships as Machine Learning Development Environment. The open repository's last push is 2025-03-20 and docs.determined.ai no longer resolves in DNS - two separate observations, recorded as such: a documentation site going away is not itself evidence the project is abandoned. Capability is cited against the in-tree documentation, which is reachable.
Openness
4 high confidence- license
- Apache-2.0(OSI
- source
- public(determined-ai/determined is the open platform)
- core features withheld
- yes — master/internal/license/license.go ships an IsEE() check returning true when a license key and public key are present, so an enterprise edition is unlocked by a key rather than shipped in the open tree
Determined's source is Apache-2.0, but the repository itself contains the gate: a license.go check unlocks an enterprise edition when a valid key is supplied. That is functionality withheld by a key rather than a separate product sold alongside the open core.
- https://github.com/determined-ai/determined recorded 2026-09-15
Repository page for determined-ai/determined: Apache-2.0 license, public and unarchived, last push 2025-03-20. Establishes the license, that the source is public, and the dormancy recorded in comments.
- https://raw.githubusercontent.com/determined-ai/determined/main/master/internal/license/license.go recorded 2026-09-15
Determined's own license module: IsEE() returns true when publicKey and licenseKey are both set, and SetLicenseAndKey populates them. Establishes that an enterprise edition is gated on a key.
Adoption
2 high confidenceAdoption is measured by PyPI downloads of the determined package in the trailing 30 days.
- https://pypistats.org/api/packages/determined/recent recorded 2026-09-15
Trailing-window download counts for the declared PyPI artifact: 62,711 downloads in the trailing month.
Capability
5 medium confidenceDetermined's own scheduler allocates slots_per_trial across whole agent machines when the count requires it - setting slots_per_trial to 16 grants two 8-GPU machines together for a single trial - and holds that machine set for the trial. Choosing the machines and holding them together puts Determined level with KAI Scheduler.
- https://raw.githubusercontent.com/determined-ai/determined/main/docs/model-dev-guide/dtrain/dtrain-implement.rst recorded 2026-09-15
Determined's distributed-training documentation: resources.slots_per_trial enables multi-GPU training, and 'slots_per_trial: 16 # Two 8-GPU agent machines will be used in a trial'.
Verified 2026-09-15