dstack-presets

# dstack Presets Use `/dstack` for CLI commands, YAML fields, apply behavior, fleets, and other dstack syntax. This skill covers creating and managing presets. ## Overview Presets offer two things: a toolkit that streamlines model inference optimization using agents, and a portable format that deploys the final preset to any cloud, Kubernetes cluster, or bare-metal fleet. A preset holds the serving configuration that produced the result, the benchmark it reached, and the exact hardware it was verified on. Presets are used for three kinds of work: finding an optimized baseline, optimizing through patching source code, and supporting new hardware. **When to use this skill:** - The user explicitly asks to create a preset, or to optimize model inference via a preset - Managing already created presets: watching sessions, listing, exporting, and deleting them via `dstack preset` commands **When NOT to use this skill:** - Deploying or serving a model: use a service instead (see the `dstack` skill) ## How to use presets Follow the [presets documentation](https://dstack.ai/docs/concepts/presets.md). [Configuration reference](https://dstack.ai/docs/reference/dstack.yml/preset.md) | [CLI reference](https://dstack.ai/docs/reference/cli/dstack/preset.md)