> And here we are, talking about the US. Great, that's settled. Proliferation of law skirting AI datacenters is a worldwide problem. Many companies are extendi

> And here we are, talking about the US. Great, that's settled. Proliferation of law skirting AI datacenters is a worldwide problem. Many companies are extending this to Europe as well, so AI datacenters is not a U.S. problem only. From what I see in Electricity Maps[0], it's not clear cut. Some of the states have well over 50% of their generation is from carbon-free sources. As a general trend, west is greener than eastern US. So, no, EVs will have an impact there. However, you need electric semis a lot as a country since rail is not used a lot in the US as well. > Really. What are some other applications for not-so-precise floating point calculations at the exaflops level? In short, HPC. As a more detailed, by short list: - Weather and climate modeling. - Drug discovery. - Computational Fluid Dynamics. - Material science, behavioral and process analysis. - All kinds of large scale simulation which can be modeled with matrices. - Any kind of problem requiring linear algebra. While I generally work at full 64bit precision, from what I see, even though these modern GPUs do only support up to FP16 (or FP32 in some cases), they can be used for higher resolution simulations as well. We support some astronomy and climate researchers which use classical algorithms and in-house ML models (not LLMs and such) to accelerate their simulations and predictions on multiple GPUs. I manage HPC clusters, and sometimes develop code on them, so yeah. [0]: https://app.electricitymaps.com/map/zone/US-NW-PACE/live/fifteen_minutes?signal=electricity-price https://app.electricitymaps.com/map/zone/US-NW-PACE/live/fif...