envd

What is envd?

envd (ɪnˈvdɪ) is a command-line tool that helps you create the container-based development environment for AI/ML.

Creating development environments is not easy, especially with today's complex systems and dependencies. With everything from Python to CUDA, BASH scripts, and Dockerfiles constantly breaking, it can feel like a nightmare - until now!

Instantly get your environment running exactly as you need with a simple declaration of the packages you seek in build.envd and just one command: envd up!

Why use envd?

Environments built with envd provide the following features out-of-the-box:

Simple CLI and language

envd enables you to quickly and seamlessly integrate powerful CLI tools into your existing Python workflow to provision your programming environment without learning a new language or DSL.

def build():
    base(dev=True)
    install.conda()
    install.python()
    install.python_packages(name = [
        "numpy",
    ])
    shell("fish")
    config.jupyter()

Isolation, compatible with OCI image

With envd, users can create an isolated space to train, fine-tune, or serve. By utilizing sophisticated virtualization technology as well as other features like buildkit, it's an ideal solution for environment setup.

envd environment image is compatible with OCI image specification. By leveraging the power of an OCI image, you can make your environment available to anyone and everyone! Make it happen with a container registry like Harbor or Docker Hub.

Local, and cloud

envd can now be used on a hybrid platform, ranging from local machines to clusters hosted by Kubernetes. Any of these options offers an efficient and versatile way for developers to create their projects!

$ envd context use local
# Run envd environments locally
$ envd up
...
$ envd context use cluster
# Run envd environments in the cluster with the same experience
$ envd up

Check out the doc for more details.

Build anywhere, faster

envd offers a wealth of advantages, such as remo