# Install the Desktop Application

Tensormorph has not shipped a public release yet, so specific download links, installer packages, and version numbers aren't available. This page describes what installing will involve based on confirmed platform and backend support, not a finished install flow.

## Supported platforms

Tensormorph's compute layer targets five backends - CPU, wgpu/WebGPU, CUDA, ROCm/HIP, and Metal - which implies desktop support across Windows, Linux, and macOS, with GPU acceleration available wherever a matching backend (CUDA on NVIDIA, ROCm on AMD, Metal on Apple Silicon) is present. See [GPU Backend Compatibility](/docs/reference/gpu-backend-compatibility) for how backend selection works once installed - you are not required to have a GPU at all, since CPU is a first-class backend, not a fallback.

## What to expect

Based on the application's design, installing and first-running Tensormorph will involve:

1.  Downloading a platform-appropriate installer or package.
2.  A first-launch step where Tensormorph detects available compute backends on your machine and sets a sensible `Compute: Auto` default (see [GPU Backend Compatibility](/docs/reference/gpu-backend-compatibility)).
3.  An empty workbench, ready for you to open a checkpoint - see [Open Your First Model](/docs/get-started/open-your-first-model).

## Command-line tooling

Beyond the desktop application, Tensormorph ships CLI tooling (`tmorph`) for indexing and validating checkpoints outside an interactive session - see [Tensormorph CLI](/docs/cli-and-automation/tensormorph-cli) - which is installed separately and doesn't require the desktop app to run.

## Related resources

-   [Open Your First Model](/docs/get-started/open-your-first-model) - the next step once installed.
-   [GPU Backend Compatibility](/docs/reference/gpu-backend-compatibility) - what determines which backend Tensormorph uses on your machine.
-   [Settings](/docs/reference/settings) - where your compute and appearance preferences live once set.