dstack provides a unified control plane for provisioning and orchestrating GPU resources across any cloud provider, Kubernetes, or on-prem clusters. It streamlines AI infrastructure management for engineering and DevOps teams, supporting scalable and flexible deployments.
dstack is a Hosting, deployment & PaaS product. It focuses on simplifying and automating GPU resource provisioning and orchestration for AI workloads across multiple environments. It is built as a B2B product for AI infrastructure engineers and DevOps teams. dstack is open source under the MPL-2.0 license. The product ships for the command line and API, and it can be self-hosted.
Behind dstack is dstack.ai, and the product first shipped in 2022. Development happens publicly on GitHub with 2.2k stars and 215 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — dstack occupies a relatively distinct niche. Key capabilities include GPU provisioning, multi-cloud orchestration, and kubernetes integration.
Latest indexed changes and source events
Deploying inference endpoints with PD disaggregation on AMD GPUs discovered by the PulseGate indexer
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