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@dstackai

dstack

dstack is an open-source engine for running GPU workloads. It simplifies development, training, and deployment of gen AI models on any cloud.

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  1. dstack Public

    dstack is an open-source alternative to Kubernetes and Slurm, designed to simplify GPU allocation and AI workload orchestration for ML teams across top clouds, on-prem clusters, and accelerators.

    Python 1.8k 169

  2. dstack-enterprise Public

    dstack Enterprise extends the open-source version of dstack with enterprise features.

    3

Repositories

Showing 10 of 17 repositories
  • dstack Public

    dstack is an open-source alternative to Kubernetes and Slurm, designed to simplify GPU allocation and AI workload orchestration for ML teams across top clouds, on-prem clusters, and accelerators.

    Python 1,759 MPL-2.0 169 96 (1 issue needs help) 2 Updated Apr 22, 2025
  • static-assets Public
    0 0 0 0 Updated Apr 22, 2025
  • gpuhunt Public

    GPU prices aggregator for cloud providers

    Python 36 MPL-2.0 13 9 2 Updated Apr 22, 2025
  • dstackai.github.io Public
    0 3 0 0 Updated Apr 22, 2025
  • dstack-enterprise Public

    dstack Enterprise extends the open-source version of dstack with enterprise features.

    3 0 0 0 Updated Apr 17, 2025
  • benchmarks Public
    Python 4 Apache-2.0 0 1 0 Updated Mar 18, 2025
  • optimum-tpu Public Forked from huggingface/optimum-tpu

    Google TPU optimizations for transformers models

    Python 0 Apache-2.0 28 0 0 Updated Dec 27, 2024
  • axolotl Public Forked from axolotl-ai-cloud/axolotl

    Go ahead and axolotl questions

    Python 0 Apache-2.0 1,009 0 0 Updated Sep 17, 2024
  • dstack-examples Public archive

    A collection of examples demonstrating how to use dstack

    Python 26 15 0 1 Updated Jun 11, 2024
  • gpuhunt-demo Public
    Python 3 0 2 0 Updated Dec 15, 2023
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