It's for some ML tasks. Just not large language models. If you're making, say, an ML-based on-premise CCTV system and you need to run several large ResNets at

It's for some ML tasks. Just not large language models. If you're making, say, an ML-based on-premise CCTV system and you need to run several large ResNets at the same time? And you don't want to go rack-mounted, as some sites don't have a data centre? And you want the longer lifecycle and guaranteed spare parts availability of an enterprise product line? This could be the card for you. Admittedly it's a rip-off, but the Workstation/Quadro line always has been. Honestly I'm not sure how healthy the workstation market is right now - with the rise of work-from-home and hybrid working, I don't see many people using huge desktops any more. And when Adobe puts a powerful generative AI feature into Photoshop, they don't expect users to upgrade to powerful GPUs - they run it in the cloud, so it works for users with puny GPUs and Adobe can get that sweet sweet recurring revenue.