Deep-learning-in-cloud
mlreef
| Deep-learning-in-cloud | mlreef | |
|---|---|---|
| 2 | 4 | |
| 730 | 1,438 | |
| - | 0.0% | |
| 5.2 | 0.0 | |
| 3 months ago | over 1 year ago | |
| Kotlin | ||
| MIT License | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Deep-learning-in-cloud
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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
mlreef
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Join the AI4Earth challenge with the European Space Agency to highlight our footprint on Earth using Earth Observation data and Machine Learning
MLReef - https://mlreef.com
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Open Source Machine Learning platform
Could you take a look at our repo: https://github.com/MLReef/mlreef
- Open Source Machine Learning
- Show HN: MLReef – collaborative Machine Learning platform
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