RunPod is provides cost-effective GPU cloud computing services for training, deploying, and scaling AI models. With GPU Cloud, users can spin up an on-demand GPU instance in a few clicks. With Serverless, users can create autoscaling API endpoints for scaling inference on their models in production.
“For two, three, four weeks at a time, we’ll be running hundreds of thousands of GPUs in parallel. Then we could go two months not needing to run a single GPU. It becomes pretty difficult when cloud providers either want a long-term commitment or they want to charge extreme fees for pay-as-you-go.”







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