Each of those cells has ~7,000 synapses each of which is both doing some computation and sending information. Further, this needs to be reconfigurable as synaptic connections aren’t static so you can’t simply make a chip with hardwired connections.
You could ballpark that as that’s 400 * 7000 * 86 billion transistors to simulate a brain that can’t learn anything, though I don’t see the point. Reasonably equivalent real time brain emulation is likely much further I’d say 2070 on a cluster isn’t unrealistic, but we’re not getting there on a single chip using lithography.
What nobody talks about is the bandwidth requirements if this isn’t all in hardware. You basically need random access to 100 trillion values (+100t weights) ~100-1,000+ times a second. Which requires splitting things across multiple chips and some kind of 3D mesh of really high bandwidth connections.
You could ballpark that as that’s 400 * 7000 * 86 billion transistors to simulate a brain that can’t learn anything, though I don’t see the point. Reasonably equivalent real time brain emulation is likely much further I’d say 2070 on a cluster isn’t unrealistic, but we’re not getting there on a single chip using lithography.
What nobody talks about is the bandwidth requirements if this isn’t all in hardware. You basically need random access to 100 trillion values (+100t weights) ~100-1,000+ times a second. Which requires splitting things across multiple chips and some kind of 3D mesh of really high bandwidth connections.