aws-neuron / torch-neuronx
A native PyTorch backend for AWS Trainium with support for eager execution, torch.compile, distributed training, and custom NKI kernels
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Model parallelism through DTensor or PyTorch functional collectives
- NKI kernels inside a compiled graph
- The data types that Neuron supports
- The first call of an operation or a compiled graph includes compilation time. This can be significant for a large model. The persistent cache reuses compiled NEFFs in later runs.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 13 days ago
- Stars
- 137
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- Linux
- From the latest release
- Latest version
- v2.33.0
- Released 26 days ago
- Built with
- Python
- 75% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 21% closed
- 15 still open
- Pull requests
- 918 merged
- 1 waiting
- Releases
- 1
- 1 in the last year
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More: download files, languages, topics and project record
Languages
- Python 75%
- C++ 23%
- Jinja 1%
- Shell <1%
Topics
- aws
- aws-neuron
- deep-learning
- dtensor
- fsdp
- inference
- machine-learning
- nki
- pytorch
- torch-compile
- training
- trainium
Project record
- JobOther AI tools
- StatusListed
- Commits3
- Forks11
- Watching4
- Stars in 28 days+107
- CreatedSep 24, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026