What is dstack?

dstack is a streamlined alternative to Kubernetes and Slurm, specifically designed for AI. It simplifies container orchestration for AI workloads both in the cloud and on-prem, speeding up the development, training, and deployment of AI models.

dstack is easy to use with any cloud providers as well as on-prem servers.

Accelerators

dstack supports NVIDIA, AMD, Google TPU, and Intel Gaudi accelerators out of the box.

How does it work?

1. Set up the server

Before using dstack, ensure you've installed the server, or signed up for dstack Sky .

2. Define configurations

dstack supports the following configurations:

• Dev environments — for interactive development using a desktop IDE
• Tasks — for scheduling jobs, incl. distributed ones (or running web apps)
• Services — for deploying models (or web apps)
• Fleets — for managing cloud and on-prem clusters
• Volumes — for managing network volumes (to persist data)
• Gateways — for publishing services with a custom domain and HTTPS

Configuration can be defined as YAML files within your repo.

3. Apply configurations

Apply the configuration either via the dstack apply CLI command (or through a programmatic API.)

dstack automatically manages infrastructure provisioning and job scheduling, while also handling auto-scaling, port-forwarding, ingress, and more.

Why dstack?

dstack's founder and CEO explains the challenges dstack addresses for AI and Ops teams.

dstack streamlines infrastructure management and container usage, enabling AI teams to work with any frameworks across cloud platforms or on-premise servers.

Where do I start?

1. Proceed to installation
2. See quickstart
3. Browse examples
4. Join Discord