How Many GPUs Should Your Deep Learning Workstation Have?

If you are building or upgrading your own deep learning workstation, then you will inevitably begin to wonder, how many GPUs you would 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 going to be the most important decision you'll make 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. There are also two companies who own the GPU market: NVIDIA and AMD. At the end of this guide, we'll give our best recommendations that excel in each of these areas.