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RunPod is a cloud GPU platform for developing, training, fine-tuning, deploying, and scaling artificial intelligence and machine learning workloads. It provides on-demand GPU environments that support custom containers, frameworks, code, data processing, model training, and inference applications.
The platform includes persistent GPU Pods for development and long-running workloads, Serverless endpoints for automatically scaling AI inference, and Clusters for distributed training and large-batch processing. Users can select from a range of GPU types, configure compute environments, manage persistent network storage, and monitor workloads through real-time logs and metrics.
RunPod is designed for use cases such as generative AI, model fine-tuning, image and video processing, AI agents, research, and production inference. Its cloud infrastructure helps teams provision GPU resources, deploy models, handle variable workloads, and move from experimentation to production without changing platforms.
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