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CaptainExplosion said:
Zkuq said:

Hmm. I'm not intimately familiar with LLMs, but maybe. I've often heard how e.g. 8 GB of VRAM isn't great for running LLMs locally, but with compression, that VRAM might be able to go a longer way. I'm guessing the main bottlenecks are elsewhere, but perhaps improved compression techniques could also help. I'm really not qualified enough to give more than that. AI itself suggests my line of thinking is correct, but as is often the case, it sounds to be quite a bit more nuanced than that.

What are ways to reduce data center energy consumption?

Another thing they should have is noise reduction, but I haven't seen any effective methods for that.

There are various ways to improve data center energy efficiency. Like optimizing the software first to achieve more with less energy consumption. Another way is to improve manufacturing packaging and processes. Improving and optimizing microchips architecture is another and most efficient way. Data compression won't add much to energy efficiency in my opinion, it can only reduce memory usage, but AI is more effective when it has even more quality data to learn from.