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The interesting thing about ML workloads is that they require heavy upfront GPU power, but the compute requirements to run the model are much smaller after trai
by aclatuts 4y ago
The interesting thing about ML workloads is that they require heavy upfront GPU power, but the compute requirements to run the model are much smaller after training.
- Tuna-Fish 4y agoBut all existing ML models are still pretty clearly inadequate for their purpose, and require vastly more training. Meaning you can't just stop investing in hardware or your competitors will have a much better model than you in a couple of years.