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README.md

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@@ -23,13 +23,13 @@ It streamlines development, training, and inference, and is compatible with any
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`dstack` supports `NVIDIA`, `AMD`, `Google TPU`, `Intel Gaudi`, and `Tenstorrent` accelerators out of the box.
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## Latest news ✨
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- [2025/12] [dstack 0.20.0: Fleet-first UX, Events, and more](https://github.com/dstackai/dstack/releases/tag/0.20.0)
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- [2025/11] [dstack 0.19.38: Routers, SGLang Model Gateway integration](https://github.com/dstackai/dstack/releases/tag/0.19.38)
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- [2025/10] [dstack 0.19.31: Kubernetes, GCP A4 spot](https://github.com/dstackai/dstack/releases/tag/0.19.31)
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- [2025/08] [dstack 0.19.26: Repos](https://github.com/dstackai/dstack/releases/tag/0.19.26)
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- [2025/08] [dstack 0.19.22: Service probes, GPU health-checks, Tenstorrent Galaxy](https://github.com/dstackai/dstack/releases/tag/0.19.22)
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- [2025/07] [dstack 0.19.21: Scheduled tasks](https://github.com/dstackai/dstack/releases/tag/0.19.21)
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- [2025/07] [dstack 0.19.17: Secrets, Files, Rolling deployment](https://github.com/dstackai/dstack/releases/tag/0.19.17)
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- [2025/06] [dstack 0.19.16: Docker in Docker](https://github.com/dstackai/dstack/releases/tag/0.19.16)
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- [2025/06] [dstack 0.19.13: Default images with InfiniBand support](https://github.com/dstackai/dstack/releases/tag/0.19.13)
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## How does it work?
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