Choosing the Right Number of GPUs for a Deep Learning Workstation

If you build or upgrade your deep learning workstation, you will inevitably wonder how many GPUs you need for an AI workstation focused on deep learning or machine learning. Is one adequate, or should you add 2 or 4?

The GPU you choose is perhaps the most crucial decision for your deep learning workstation. When it comes to GPU selection, you want to pay close attention to three areas: high performance, memory, and cooling. Two companies own the GPU market: NVIDIA and AMD. We’ll give our best recommendations that excel in these areas at the end of this guide.

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