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Deep-learning-in-cloud reviews and mentions
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Noob question, is it possible to connect cheap nvidia tesla k model gpus externally?
Another option is to rent cloud time for DL tasks. A big advantage of this approach is that it can scale for training as the models and datasets get bigger. Even for inference, we are seeing models get pretty large (IIRC stable diffusion is something like 4GB for its inference model IIRC). Take a look here and see if one of the listed services can get you started.
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How to practice Deep Learning when GPUs are prohibitively overpriced?
Try cloud GPUs, they are much economical and faster. Some suggestions: https://github.com/zszazi/Deep-learning-in-cloud
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zszazi/Deep-learning-in-cloud is an open source project licensed under MIT License which is an OSI approved license.
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