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TorchX

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

TorchX currently supports:

  • Kubernetes (EKS, GKE, AKS, etc)
  • Slurm
  • Docker
  • Local

Need a scheduler not listed? Let us know!

Quickstart

See the quickstart guide.

Documentation

Requirements

torchx:

  • python3 (3.8+)
  • PyTorch
  • optional: Docker (needed for docker based schedulers)

Certain schedulers may require scheduler specific requirements. See installation for info.

Installation

Stable

# install torchx sdk and CLI -- minimum dependencies
pip install torchx

# install with all dependencies
pip install "torchx[dev]"

# install torchx Kubernetes / Volcano support
pip install "torchx[kubernetes]"

# install torchx GCP Batch support
pip install "torchx[gcp_batch]"

Nightly

# install torchx sdk and CLI
pip install torchx-nightly[dev]

Source (Development)

# clone the repo
git clone https://github.com/meta-pytorch/torchx.git
cd torchx

# install with uv (recommended for development)
uv sync --extra dev

# or with pip
pip install -e ".[dev]"

Docker

TorchX provides a docker container image at ghcr.io/pytorch/torchx for use as part of a TorchX role.

Contributing

We welcome PRs! See the CONTRIBUTING file.

License

TorchX is BSD licensed, as found in the LICENSE file.

Metadata

Release files for torchx-nightly 2026.9.28

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for torchx-nightly 2026.9.28
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torchx_nightly-2026.9.28-py3-none-any.whl Python 3 none any Details

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