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dstack simplifies AI infrastructure by providing an open-source platform for managing GPU workloads across cloud providers and on-premises servers. It replaces complex tools like Kubernetes and Slurm with a unified system for deploying containerized AI environments, scheduling distributed training jobs, and running model endpoints. The platform supports NVIDIA, AMD, Google TPU, and Intel Gaudi accelerators, enabling teams to use preferred frameworks without vendor lock-in.

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