320 torchserve(1) - Kailash Tool Reference
320.1 torchserve
torchserve - TorchServe — PyTorch model serving.
| Layer | OPS |
| Category | o-02-compute-serving-infrastructure |
| Safety class | safe |
| Licence | Apache-2.0 |
| Upstream | github.com/pytorch/serve |
320.1.1 NAME
torchserve - TorchServe — PyTorch model serving.
320.1.2 SYNOPSIS & usage
Derived from the upstream README at generation time; verify against --help where the tool is installed.
curl http://127.0.0.1:8080/predictions/bert -T input.txt
# Install dependencies
python ./ts_scripts/install_dependencies.py
# Include dependencies for accelerator support with the relevant optional flags
python ./ts_scripts/install_dependencies.py --rocm=rocm61
python ./ts_scripts/install_dependencies.py --cuda=cu121
# Latest release
pip install torchserve torch-model-archiver torch-workflow-archiver
# Nightly build
pip install torchserve-nightly torch-model-archiver-nightly torch-workflow-archiver-nightly
320.1.3 DESCRIPTION (upstream)
This project is no longer actively maintained. While existing releases remain available, there are no planned updates, bug fixes, new features, or security patches. Users should be aware that vulnerabilities may not be addressed. TorchServe now enforces token authorization enabled and model API control disabled by default. These security features are intended to address the concern of unauthorized API calls and to prevent potential malicious code from being introduced to the model server. Refer the following documentation for more information: Token Authorization, [Model API control](https://github.com/pytorch/se
320.1.4 CONFIGURATION (detected)
Config-surface markers detected in the upstream README (6 matches, e.g. torchserve-nightly-build.yml, docker-nightly-build.yml). A full config reference page for this tool is queued under the config-page policy — this line is the detection record, not the page.
320.1.5 SEE ALSO
- Category: o-02-compute-serving-infrastructure in the category directory (sister tools listed there).
- Configuration reference — files, environment variables, samples.
ref: pin - verified 2026-10-14