dstackai/dstack

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2kStars on the repository
4Mods indexed here, across every type
4d agoLast push, which is what freshness is scored on
MPL-2.0Licence, which decides whether bodies are shown

dstack-presets

01

dstackai/dstack

Skill Claude CodeCodex

Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format. Use together with the dstack skill, and only when the user explicitly asks to create a preset or manage existing presets, not for deploying or serving a model.

2.2k 4d ago A 61 tokens original MPL-2.0

dstack-prototyping

02

dstackai/dstack

Skill Claude CodeCodex

Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final…

2.2k 4d ago A 80 tokens original MPL-2.0

dstack

03

dstackai/dstack

Skill Claude CodeCodex

Skill "dstack" from dstackai/dstack, covering dstack, how it works, quick agent flow (detached runs), agent execution guidelines and output accuracy.

2.2k 4d ago C 28 tokens original MPL-2.0