> The first generation HC1 chip is implemented in the 6 nanometer N6 process from TSMC. Each HC1 chip has 53 billion transistors on the package, most of it very likely for ROM and SRAM memory. The HC1 card burns about 200 watts, says Bajic, and a two-socket X86 server with ten HC1 cards in it runs 2,500 watts.
And what of that makes you assume that having a server with 10 HC1 cards is needed to run a single model version on that server?
replySo it lights money on fire extra fast, AI focused VCs are going to really love it then!!
replyWell they claim two month turnaround. Big If True. How does the six months break down in your estimation? Maybe they have found a way to reduce the turnaround time.
replyThis depends on how much better the models will get from now in, if Claude Opus 4.6 was transformed into one of these chips and ran at a hypothetical 17k tokens/second, I'm sure that would be astounding, this depends on how much better claude Opus 5 would be compared to the current generation
replyI’m pretty sure they’d need a small data center to run a model the size of Opus.
replyEven an O3 quality model at that speed would be incredible for a great many tasks. Not everything needs to be claude code. Imagine Apple fine tuning a mid tier reasoning model on personal assistant/MacOs/IOS sorts of tasks and burning a chip onto the mac studio motherboard. Could you run claude code on it? Probably not, would it be 1000x better than Siri? absolutely.
replyYeah, waiting for Apple to cut a die that can do excellent local AI.
reply100x of a less good model might be better than 1 of a better model for many many applications.
replyThis isn't ready for phones yet, but think of something like phones where people buy new ones every 3 years and even having a mediocre on-device model at that speed would be incredible for something like siri.