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Lambda Cloud GA, and Docker support

The 0.10.5 release improves Lambda Cloud integration and adds support for Docker.

In the previous update, we added initial integration with Lambda Cloud. With today's release, this integration has significantly improved and finally goes generally available. Additionally, the latest release adds support for custom Docker images.

Lambda Cloud

In this update, we've added a possibility to create Lambda Cloud projects via the user interface.

All you need to do is provide your Lambda Cloud API key, and specify an S3 bucket and AWS credentials for storing state and artifacts.

Learn more →

Once the project is configured, feel free to run dev environments and tasks in Lambda Cloud using the dstack CLI.

Custom Docker images

By default, dstack uses its own base Docker images to run dev environments and tasks. These base images come pre-configured with Python, Conda, and essential CUDA drivers. However, there may be times when you need additional dependencies that you don't want to install every time you run your dev environment or task.

To address this, dstack now allows specifying custom Docker images. Here's an example:

type: task


  - MODEL_ID=tiiuae/falcon-7b

 - 3000

  - text-generation-launcher --hostname --port 3000 --trust-remote-code
Existing limitations

Dev environments require the Docker image to have openssh-server pre-installed. If you want to use a custom Docker image with a dev environment and it does not include openssh-server, you can install it using the following method:

type: dev-environment


  - apt-get update
  - DEBIAN_FRONTEND=noninteractive apt-get install -y openssh-server
  - rm -rf /var/lib/apt/lists/*

ide: vscode

The documentation and examples are updated to reflect the changes in the release.

Give it a try

Getting started with dstack takes less than a minute. Go ahead and give it a try.

$ pip install "dstack[aws,gcp,azure,lambda]" -U
$ dstack start