Earlier quoted context omitted.
Or it’ll accelerate the push to the cloud even more making the client even thinner.
Concidently, I asked Claude yesterday whether we have crossed the point that there is more compute and memory in the cloud or in personal computers. It claims fp8 and fp16 has had higher throughput in the cloud since 2023. fp32 and general computing still has more compute than personal computers. And that memory is at the crossover point, but at this point only 10% of memory is going to personal computers, so the nex…
A few thoughts...
(a) There've never been more general purpose computers than there are right now. Spec progress may stall for consumer products due to the price increases, but the demand for workstations is not going to go down that much; they're critical items to get work done. Many are hoping this means a return to memory efficiency; the 8GB Macbook Neo is a good sign that this is something Apple believes to some extent also.
(b) We've arguably been doing this since the 90s. A website (especially in the days of the heavy backend and more passive client) is cloud compute that someone else owns. You rent it by paying them in the form of looking at ads...
(c) There are a lot of companies and people working on making sure you have every chance to run your AI locally. It's surprisingly good now and keeps getting better. At some point we'll see the same oscillation that we always do from thin client to fat client as the latency advantage of working at the edge starts to win out. How long until I have a laptop with a Talaas chip in it running a basic local model at 16000 tok/sec that is just good enough to use A2A to reach a more powerful agent running elsewhere if I need it?