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AI developers, researchers and teams use Vast.ai to find GPU compute for workloads that need more processing power than their local machines can provide. Its marketplace lets users compare available GPU instances by hardware and other requirements, then launch a container for tasks such as training or fine-tuning models, running inference, generating images or video, processing data, and rendering 3D graphics. Users can start from preconfigured templates or set up their own environment, then connect to instances through SSH or Jupyter. Instances can be managed in the web interface or through the command-line tools and REST API, which also support automated provisioning. Rental options include on-demand and interruptible instances; the latter may be stopped when capacity is needed elsewhere, so they suit jobs that can tolerate interruptions. Vast.ai also serves GPU owners and infrastructure providers who want to list available compute capacity for others to rent. It may fit users looking for flexible access to GPUs across different hardware options, as well as providers seeking a platform to offer their spare or dedicated capacity.
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