sylfy t1_j9jbduq wrote on February 22, 2023 at 11:23 AM

Reply to comment by Thalornios in Russian President Vladimir Putin unwittingly accelerated the European Union’s green transition with his war in Ukraine, with the 27-nation bloc reducing its dependency on Russian fossil fuels and increasing its renewable energy use over the past year, the EU’s climate czar said Tuesday. by MrGuttFeeling

Frans Timmermans, first of his name, protector of the penguins, breaker of big oil, the unburner.

sylfy t1_j19rtms wrote on December 22, 2022 at 6:39 PM

Reply to comment by ip2k in ASUS's Noctua Edition GeForce RTX 40 Series Graphics Cards To Launch At CES 2023 by Avieshek

Nvidia squeezes the AIBs on margins. They restrict the MSRP range that AIBs can sell at, which limits the quality and engineering work that AIBs can put into their cards. The AIBs get a pretty slim profit after accounting for the cost of the GPU dies to them, plus Nvidia’s profit margin on the die, which Nvidia doesn’t incur on their own FE cards.

This, as well as a whole bunch of other reasons, is a big factor in why AIBs have been unhappy with Nvidia, and why EVGA decided to quit its GPU business. Gamers Nexus did a bunch of comprehensive interviews, and it’s well worth a watch.

sylfy t1_iytgr3x wrote on December 4, 2022 at 12:58 AM

Reply to comment by dookiehat in StableDiffusion can generate an image on Apple Silicon Macs in under 18 seconds, thanks to new optimizations in macOS 13.1 by Avieshek

CUDA and the accompanying cudnn libraries are highly specialised hardware and software libraries for machine learning tasks provided by Nvidia, that they have been working on over the past decade.

It’s the reason Nvidia has such a huge lead in the deep learning community, and the reason that their GPUs are able to command a premium over AMD. Basically all deep learning tools are now designed and benchmarked around Nvidia and CUDA, with some also supporting custom built hardware like Google’s TPUs. AMD is catching up, but the tooling for Nvidia “just works”. This is also the reason people buy those $2000 3090s and 4090s, not for gaming, but for actual work.

Frankly, the two chips are in completely different classes in terms of power draw and what they do (one is a dedicated GPU, the other is a whole SoC), it’s impressive that the M1/M2 even stays competitive.