The better question is: is the "value" worth the enormous environmental cost from the massive amounts of power used in training datasets, storing them, and running the GPUs/TPUs?
NVIDIA estimates they'll ship up to 2M H100 GPUs. They have a TDP of about 300-400W each. Assume that because of their high cost, their utilization is very high. Assume another 2/3rds of that is used for cooling, which would be another 200W. Be generous and throw out all the overhead from the host computers, storage, power distribution, UPS systems, and networking.
2M * 600W = 1.2GW.
Let's say you only operated them during the daytime and wanted to do so from solar power. You'd need between ten and twenty square miles worth of solar panels to do so.
NVIDIA estimates they'll ship up to 2M H100 GPUs. They have a TDP of about 300-400W each. Assume that because of their high cost, their utilization is very high. Assume another 2/3rds of that is used for cooling, which would be another 200W. Be generous and throw out all the overhead from the host computers, storage, power distribution, UPS systems, and networking.
2M * 600W = 1.2GW.
Let's say you only operated them during the daytime and wanted to do so from solar power. You'd need between ten and twenty square miles worth of solar panels to do so.