Runpod provides cloud GPU infrastructure for developers working on artificial intelligence and machine-learning workloads. Its products include on-demand GPU instances, known as Pods, and serverless GPU endpoints that can run containerized inference workloads and scale with demand. The company describes use cases including model development, training, fine-tuning, batch processing, and production inference. Its platform also offers persistent network storage and deployment options across multiple regions. Organizations can choose between direct control over a GPU environment and an autoscaling endpoint, depending on whether workloads are continuous or arrive intermittently.
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