i5heu
Joined 7 years ago
Joined 7 years ago
current global average electricity production = approximately 3.6 terawatts
But then again these systems do not use 1400 watts all the time. We would probably have much more then 11.2 terawatts demand if all humans turn on all their electrical consumers at the same time.
I also like 4K with 90 to 120fps which leads me most of the time to use almost minimal settings.
Look at steam hardware reviews. My setup is quite the default thing. Games optimize for it
I expect it to stay a mediocre gaming PC for the next 3 years maybe 5 years.
16GB RAM RTX 3060 TI (8 GB VRAM)
Since he has not given any reference point it is equally as good advice as „just learn everything slightly valuable“.
So the real question is: „What should I not learn in favor of learning this.“
Or in other words: His comment is not usable because it can mean anything or nothing.
So if politicians base their decisions on "common sense", they confess to not being able to use experts that refine their knowledge and position about a topic.
A "common sense" strategy is therefore what is most popular and on the basis of the understanding of laymen without deeper understanding or knowledge.
Other than that there is not really a difference to renting a GPU since the GPU provider can also just steal your data.
Local GPU(s) are always an option if you have the possibility. It is also not that difficult to run with stuff like “LocalAI”
> “In the current generation, our density is 8 billion parameters on the hard wired part of the chip., plus the SRAM to allow us to do KV caches, adaptations like fine tuning, and etc. In our next generation, we would have the ability to go up to 20 billion parameters in a chip. Even with trillions of parameters, we’re talking about few tens of chips, which is a very, very small compared to anything else out there on the market today.”
https://www.nextplatform.com/compute/2026/02/19/taalas-etche...
Edit: i do not know how reliable this page is... it has a lot of typos.. for me it does not look like it was written by a LLM
So i guess maybe they currently try to solve a very hard problem with a small focused group before scaling or they are dysfunctional.
Also Llama 3.1 8B is a dense model AFAIK and they are fast by nature. As there are not a lot of dense models these days i could imagine that they try to optimise for MOE models.
This should be the first thing on this page.
There is no way people will put up with that.
So they get more data of the same person over time.
meet.hn/city/de-Berlin
Socials: - github.com/i5heu - https://mastodon.social/@heidenstedt
Interests: Knowledge Management, AI/ML, Art, FOSS
---