Skip to main content

dstack is an open-source toolkit for running GPU workloads on any cloud.

Project description

dstack

Orchestrate GPU workloads effortlessly on any cloud

DocsExamplesDiscord

Last commit PyPI - License

dstack is an open-source engine for running GPU workloads on any cloud. It works with a wide range of cloud GPU providers (AWS, GCP, Azure, Lambda, TensorDock, Vast.ai, etc.) as well as on-premises servers.

Latest news ✨

Installation

Before using dstack through CLI or API, set up a dstack server.

Install the server

The easiest way to install the server, is via pip:

pip install "dstack[all]" -U

Configure backends

If you have default AWS, GCP, or Azure credentials on your machine, the dstack server will pick them up automatically.

Otherwise, you need to manually specify the cloud credentials in ~/.dstack/server/config.yml.

For further details on setting up the server, refer to installation.

Start the server

To start the server, use the dstack server command:

$ dstack server

Applying ~/.dstack/server/config.yml...

The admin token is "bbae0f28-d3dd-4820-bf61-8f4bb40815da"
The server is running at http://127.0.0.1:3000/

Note It's also possible to run the server via Docker.

CLI & API

Once the server is up, you can use either dstack's CLI or API to run workloads. Below is a live demo of how it works with the CLI.

Dev environments

Dev environments allow you to quickly provision a machine with a pre-configured environment, resources, IDE, code, etc.

Tasks

Tasks are perfect for scheduling all kinds of jobs (e.g., training, fine-tuning, processing data, batch inference, etc.) as well as running web applications.

Services

Services make it very easy to deploy any model or web application as a public endpoint.

More information

For additional information and examples, see the following links:

Licence

Mozilla Public License 2.0

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dstack-0.16.0.tar.gz (209.3 kB view details)

Uploaded Source

Built Distribution

dstack-0.16.0-py3-none-any.whl (322.2 kB view details)

Uploaded Python 3

File details

Details for the file dstack-0.16.0.tar.gz.

File metadata

  • Download URL: dstack-0.16.0.tar.gz
  • Upload date:
  • Size: 209.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for dstack-0.16.0.tar.gz
Algorithm Hash digest
SHA256 6c116083c8da522d5d5566f079050728cf37e641de8b9588f29e85ad0103cf58
MD5 2e4cc6086174061fdc6f9dba106de20f
BLAKE2b-256 4dd8ca8cf388657f314bd904b58a6b093f3f43cf1a644d9b240735de33530aa7

See more details on using hashes here.

File details

Details for the file dstack-0.16.0-py3-none-any.whl.

File metadata

  • Download URL: dstack-0.16.0-py3-none-any.whl
  • Upload date:
  • Size: 322.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for dstack-0.16.0-py3-none-any.whl
Algorithm Hash digest
SHA256 00c0a1ba123ce6ec5805da4aa9b015808f8c5058beb6d79f4b36a1683b15c667
MD5 310aaffcff5e46de065876d0cc51bf11
BLAKE2b-256 315f7e52434986954ed01b7f0015481feb05062c9ccf9cc3cd1daf6716c956b7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page