> My comment was made 10 hours before that reply, so I didn't have that context. Sorry. Sorry, i phrased that poorly, i was referencing my own comment, not bec

> My comment was made 10 hours before that reply, so I didn't have that context. Sorry. Sorry, i phrased that poorly, i was referencing my own comment, not because i thought you had ignored it but because i had just replied to the other comment. It probably shouldn't have reference the other reply. > Not sure, but performance comes after making sure you have enough VRAM to run your workload in the first place. I doubt an ASi chip would beat most datacenter-class training cards, but if a consumer just wants to train a model locally without much regard for getting the best possible performance, there is more value-for-money. That mostly makes sense. Though personally,if i'm dropping car money on hardware to run a model then i'd really want to know the type of difference in power, are we talking about the ASi taking twice as long or are we talking orders of magnitude? Not a question for you specifically, just a thought. I'll see if i can find any benchmarks for the differences in compute. Thanks