alt Hacker NewsI imagine so regarding GPUs, right? Is this is a legitimate project then doesn’t it provide a proof of concept for performance constraints that relate to them? Couldn't the environmentally concerned take this as an indicator that the technology can progress without relying on as much energy is potentially spent now? Shouldn’t researchers in the industry be thinking of ways to prevent the future capabilities of the technology from outrunning the capacity of the infrastructure?
I know very little about AI but these are things that come to mind here for me.
GPUs are more efficient than CPUs for LLM inference, using less energy per token and being cheaper overall. Yes, a single data center GPU draws a lot of power and costs a fortune, but it can also serve a lot more people in the time your CPU or consumer GPU needs to respond to a single prompt.