dstack
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About
dstack provides ML teams with a unified control plane for GPU provisioning and orchestration across cloud, Kubernetes, and on-prem. It streamlines development, training, and inference — reducing costs 3–7x and preventing lock-in. dstack offers an open platform for GPU orchestration, compatible with any hardware, open-source tools, and frameworks. It natively integrates with top GPU clouds, automates cluster provisioning, and supports on-prem clusters via Kubernetes or SSH fleets. Key features include dev environments for connecting IDEs to powerful GPUs, seamless transition from single-node to distributed tasks, and scalable service endpoints for deploying models as secure, auto-scaling OpenAI-compatible endpoints.
Platform
Features
• self-hosted enterprise option with sso
• cost reduction for ml infrastructure (3-7x)
• native integration with top gpu clouds
• scalable openai-compatible model serving
• single-node and distributed task management
• streamlined ml development environments
• multi-cloud, kubernetes, and on-prem support
• gpu provisioning and orchestration
Pricing Plans
Enterprise
Unknown Price• Self-hosted deployment
• SSO (Single Sign-On)
• Governance controls
• Enterprise support
Job Opportunities
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