There's a lot of talk about ML in general, and training in particular, when talking about GPGPU. But it's a very performant resource for various other producti

There's a lot of talk about ML in general, and training in particular, when talking about GPGPU. But it's a very performant resource for various other productivity work as well. Meshroom (photogrammetry) needs Cuda for high quality models. Photoshop uses OpenCL for some filters. Lots of consumers and amateurs wants to use the new ML models for super resolution, generative art, transcriptions, etc. Continuing to sell basically super computers in a PCI express card form factor that's half the value of the entire computer that's only usable for games is a huge waste, and it's a strange strategy for an underdog.