How Determined Works by determined-ai

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

deep-learningmachine-learningml-platformml-infrastructurehyperparameter-optimizationhyperparameter-searchdistributed-trainingpytorchtensorflowhyperparameter-tuningkubernetesdata-science
Verdict 75/100 health $4.13/mo cheapest, hetzner 2/5 setup difficulty Last release 1.3 years ago

Self-host How Determined Works on hetzner CAX11 for $4.13/mo.

Health score
75 /100
6-dim composite
Self-hosts from
$4.13 /mo
hetzner · CAX11
Difficulty
2 /5
Docker + read README
GitHub stars
3.2k
371 forks

About How Determined Works

From the project's README at github.com/determined-ai/determined. Lightly cleaned for readability; for the full source see the upstream repo.

Determined is an all-in-one deep learning platform, compatible with PyTorch and TensorFlow.

It takes care of: Distributed training for faster results. Hyperparameter tuning for obtaining the best models. Resource management for cutting cloud GPU costs. Experiment tracking for analysis and reproducibility.

The main components of Determined are the Python library, the command line interface (CLI), and the Web UI. Python Library

Use the Python library to make your existing PyTorch or Tensorflow code compatible with Determined.

Health score breakdown

6-dimension composite. See methodology for formula and weights.

activity
80
maturity
100
community
91
security
85
sustainability
65
adoption
32

Adoption signals

Real-world usage data, pulled from each registry. The bigger the numbers, the more battle-tested the project.

SignalValueSource
GitHub stars 3.2k github.com/determined-ai/determined
GitHub forks 371 github.com/determined-ai/determined

Release & maintenance

Is this project actively maintained, or about to die? Check the recency of last commit and last release.

Project age6.2 yearssince Apr 2020
Last commit1.3 years agoMar 20, 2025
Releases shipped121last: 1.3 years ago
Security policySECURITY.mddeclared by maintainers

Self-hosting cost across providers

Detected requirements: 4GB RAM, 40GB disk minimum. Cheapest plan per provider that meets the requirement.

ProviderPlanSpecsMonthly
hetzner CAX11 2c · 4GB · 40GB $4.13 USD Deploy →
vultr VC2 1c · 1GB · 25GB $5 USD Deploy →
linode Nanode 1GB 1c · 1GB · 25GB $5.12 USD Deploy →
digitalocean Basic Regular 1GB 1c · 1GB · 25GB $6 USD Deploy →

What people say on Hacker News

Ready to self-host How Determined Works?

Spin up a hetzner CAX11 (4GB RAM, 40GB disk) for $4.13/mo and follow the project's official install docs.

Data last refreshed Jun 21, 2026.

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Frequently asked questions

Last verified . Health scores and costs are computed from public data.