QuickPod

QuickPod is a Docker container rental platform for GPU and CPU, focusing on low prices. According to the official website, it can save up to 80% compared to mainstream cloud vendors, relying on the aggregation of scattered idle computing power instead of building self-built computer rooms.

The usage method is familiar to those who make models: select the card, pull the image, open Jupyter, and start running in a few minutes. Billed by the hour, stop when you use it, no long-term commitment required. The platform has nodes in multiple regions, and the active users and cumulative GPU hours listed on the official website are not small.

The general precautions for this type of platform should be made clear: the scattered sources of computing power mean that the stability of a single machine is not as good as that of large manufacturers, and long-term training tasks require self-continuation of training at breakpoints. You should also be careful with data-sensitive projects. Running them on someone else's machine is a risk in itself.

It is suitable for individual researchers and small teams to conduct experiments and inferential stress testing. The price advantage is very obvious in these scenarios. For enterprise-level production environments, it is recommended to use formal cloud.