Author: Tony Paikeday / Source: Forbes
Deploying a deep learning system means a commitment that goes well beyond the initial capital expense of purchasing a GPU platform. It means understanding how your developers will interact with it on an on-going basis, how their workflow will need to adapt to its capabilities, and how much time and effort will be expended in not only installing it, but keeping it tuned and optimized for every training run, and supported when something breaks.
We decided to take a closer look at this, and truly double-click on the “high-mileage” experience our customers have had with the NVIDIA DGX-1. To do this,…
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