dstack — Orchestrate AI Workloads and Containers

dstack is an open-source container orchestration platform for teams building and deploying AI models at scale.

dstack is an open-source container orchestration platform designed to simplify the development and deployment of machine learning workloads. It serves as a streamlined alternative to complex systems like Kubernetes, specifically for businesses that need to manage AI models and heavy compute tasks. By using dstack, teams can provision remote development environments and run large-scale training jobs across various cloud providers or on-premise hardware. The platform allows users to define infrastructure requirements through a simple configuration file, which dstack then executes by provisioning the necessary GPU or TPU resources. This eliminates the manual effort of setting up drivers, environments, and networking for every new project. It supports major hardware including NVIDIA, AMD, and Google TPUs, ensuring that your technical team can use the most cost-effective hardware available. You can find more technical insights and verified reviews on surfai.app to help evaluate your infrastructure stack. Business owners can use dstack to launch auto-scaling web services for AI models and manage distributed training fleets without hiring dedicated DevOps engineers. The tool provides a unified interface for AWS, Azure, GCP, and private servers, which helps in avoiding vendor lock-in. It also features automatic spot instance handling to reduce cloud costs by up to 90% during model training cycles. As of 2026, dstack is available as an open-source project and is free to self-host on your own infrastructure. For teams preferring a managed experience, dstack Sky offers a pay-as-you-go model for cloud resource orchestration.

• Pricing: freemium

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