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[Docs] Minor edits to reflect the 0.19.31 release
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README.md

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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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- [2025/09] [dstack 0.19.27: Offers UI, Digital Ocean and AMD Developer Cloud](https://github.com/dstackai/dstack/releases/tag/0.19.27)
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- [2025/08] [dstack 0.19.26: Repos – explicit repo configuration via YAML](https://github.com/dstackai/dstack/releases/tag/0.19.26)
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- [2025/08] [dstack 0.19.25: `dstack offer` CLI command](https://github.com/dstackai/dstack/releases/tag/0.19.25)
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- [2025/08] [dstack 0.19.22: Service probes, GPU health-checks, Tenstorrent Galaxy, Secrets UI](https://github.com/dstackai/dstack/releases/tag/0.19.22)
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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, CloudRift](https://github.com/dstackai/dstack/releases/tag/0.19.16)
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- [2025/06] [dstack 0.19.13: InfiniBand support in default images](https://github.com/dstackai/dstack/releases/tag/0.19.13)
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- [2025/06] [dstack 0.19.12: Simplified use of MPI](https://github.com/dstackai/dstack/releases/tag/0.19.12)
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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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docs/docs/guides/kubernetes.md

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# Kubernetes
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While `dstack` can orchestrate container-based runs natively on both cloud and on-prem without Kubernetes (see [backends](../concepts/backends.md)), it also supports running container-based workloads directly on Kubernetes clusters.
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For that, you need to configure the `kubernetes` backend.
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The [kubernetes](../concepts/backends.md#kubernetes) backend enables `dstack` to run [dev environments](/docs/concepts/dev-environments), [tasks](/docs/concepts/tasks), and [services](/docs/concepts/services) directly on existing Kubernetes clusters.
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If your GPUs are already deployed on Kubernetes and your team relies on its ecosystem and tooling, use this backend to integrate `dstack` with your clusters.
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> If Kubernetes is not required, you can run `dstack` on clouds or on-prem clusters without Kubernetes by using [VM-based](../concepts/backends.md#vm-based), [container-based](../concepts/backends.md#container-based), or [on-prem](../concepts/backends.md#on-prem) backends.
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## Setting up the backend
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