I'd almost say you might still want a GPU of some sort; you may not need the latest and greatest, but not something low-end, either. Nvidia 700 or 800 class, mi

I'd almost say you might still want a GPU of some sort; you may not need the latest and greatest, but not something low-end, either. Nvidia 700 or 800 class, minimum. Why? Machine learning - specifically, I think we're likely to see more and more applications using GPUs for ML-based tasks. For instance, maybe Photoshop implements that relatively new Google super-resolution ML-based technique as a filter or something in their software. While it could run ok on a multi-core CPU - it would probably run much better and faster on a GPU. I can see this becoming more of the norm on a lot of software as machine learning continues going "mainstream". Sooner than we think, we might all find ourselves purchasing high-end graphics cards for things other than graphics. At least until specialized ML optimized CPUs or other compute boards become the norm (right now, you can get GPU boards - mainly from NVidia - that incorporate a GPU specifically for compute acceleration needs - with no video output; you find them mainly used in workstation-class machines, and of course supercomputers).