| ▲ | jhallenworld an hour ago | |||||||
>There are no dark GPUs This might not be true. Someone was comparing Nvidia's production rate with known data center capacity, and they do not match. Their conclusion was that people (possibly even Nvidia) were hoarding GPUs- in the very short term this might be a good strategy, but GPUs go EOL fast. There are other stories about paused datacenter builds that match with this. TSMC is definitely fully allocated, based on current 40 wk lead times for FPGAs.. | ||||||||
| ▲ | Dig1t 35 minutes ago | parent [-] | |||||||
All that means is that there's a bottleneck at the data center layer. When he says "dark GPUs" he's saying that there are no dark DEPLOYED GPUs. This is a reference to the 1990's dot com bubble where internet infrastructure companies overbuilt network capacity, leading to the term "dark fiber". That was an indicator of a bubble because it showed that capacity was larger than demand. OP is saying that this is specifically NOT happening in the case of GPUs yet, indicating that demand still outstrips supply of compute. >GPUs go EOL fast We are seeing the opposite of what was expected, GPUs are actually getting more valuable because demand is so great, something that basically never happens. Even older chips have become more valuable. >paused datacenter builds It doesn't seem that datacenters have been paused because of lack of demand for AI, it seems mostly that there is a lot of pushback by cities to build these things and also there is a shortage of power to run them. IMO none of these things point to a AI being a bubble (over-hyped, demand does not match the stated value). It mostly points to the opposite, there is massive demand for AI and every layer of the supply chain is struggling to keep up with that demand. | ||||||||
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