Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
Archai
Archai supports neural architecture search with fast, reproducible, and modular research tools.

About Archai
Archai accelerates Neural Architecture Search through fast, reproducible and modular research, enabling generation of efficient deep networks for various applications. It installs via PyPI with pip install archai and requires Python 3.8+ and PyTorch 1.7.0+, with a virtual environment such as conda or pyenv recommended.
Pricing is not clearly stated.
Key features
- Transformer search space via TransformerFlexSearchSpace
- Search objectives for parameters, ONNX latency and memory
- Pareto-frontier search with EvolutionParetoSearch
- End-to-end text generation task
- End-to-end face segmentation task
- Documentation notebooks
Archai at a glance
- Website
- github.com/microsoft/archai
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 23, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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