dstack
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About
dstack is an open-source AI container orchestration engine that facilitates the development, training, and deployment of AI models across various cloud platforms or on-premises. It offers a lightweight alternative to Kubernetes, designed specifically for AI engineers to streamline workflows without needing extensive setup or assistance from operations teams. dstack allows users to manage clusters efficiently, supports multiple cloud providers, and includes features like dev environments, task scheduling, and service deployment while providing simplified integration with on-prem resources. Additionally, dstack offers a marketplace called dstack Sky for hosted GPU access, making it a versatile tool for AI developers.
Platform
Task
Features
• fleet management for clusters
• service deployment as scalable endpoints
• task scheduling and cluster management
• dev environments for interactive coding
• simplifies ai model management
• supports cloud and on-premise
• lightweight alternative to kubernetes
FAQs
What is dstack?
dstack is an open-source orchestration engine that simplifies developing, training, and deploying AI models, as well as managing clusters on any cloud or data center.
How does it compare to Kubernetes?
dstack is a lightweight alternative tailored for AI development, offering an easy-to-use interface without the complexity of Kubernetes.
Can I use dstack with Kubernetes?
Yes, dstack can integrate with Kubernetes to simplify container management for AI tasks.
What is dstack Sky?
dstack Sky is a hosted version of dstack that provides access to cloud GPUs through its marketplace.
Pricing Plans
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