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dstackai

dstackai/dstack

PythonMPL-2.0active
88Health

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

Stars2.2k
Forks231
Open Issues64
Contributors231
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
14
Popularity
25
#agent-skills#agentic-orchestration#amd#cloud#containers#docker#fine-tuning#gpu#inference#k8s#kubernetes#llms#machine-learning#nvidia#orchestration#python#slurm#training
View on GitHub ↗Issues (64) ↗Pull Requests ↗

Should you contribute to dstackai/dstack?

dstackai/dstack has a FoundDev health score of 88/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under MPL-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

dstackai
dstackai/dstack
PythonMPL 2.0
88

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

active
2.2k231 contributors64 issues
0d ago

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