Dstack – an open-source engine for running GPU workloads
dstack is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on-prem clusters.
Dstack – an open-source engine for running GPU workloads launched on February 15, 2024 with 101 votes, #576 of 3,962 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Dstack is an open-source engine designed to run GPU workloads efficiently. It is intended for developers and teams who need to execute computationally intensive tasks on graphics processors. The tool simplifies the process of managing and deploying GPU-based applications, making it easier to work with complex workloads without extensive infrastructure setup.
written from the facts on this page · September 2026
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Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

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