Per the article, they
justdeveloped a faster algorithm for a specific type of material simulation.
You’re underplaying it.
As per the article:
This has broad implications for industries that require detailed material analysis, including:
Aerospace and Defense: Improved modeling of material stress and failure in aircraft structures.
Engineering and Manufacturing: More efficient testing of materials for construction and industrial applications.
Military Research: Faster development of impact-resistant materials for defense systems.
avieshek@lemmy.world 21 hours ago
Yes, exactly… For another example, the DeepSeek team developed their own replacement to CUDA called PTX (Parallel Thread Execution) a lower-level assembly-like language that allows for more granular optimisations of GPU performance offering 10X efficiency improvement recently as GPU sanctions were levied on China. This innovative approach not only challenges the dominance of CUDA in the AI landscape but also opens up new possibilities for optimizing GPU performance in various applications and this is what missing not only from those relying on Nvidia but its competitors whether AMD or Apple that prefers to have its own proprietary solutions.
boonhet@lemm.ee 19 hours ago
Nvidia developed PTX, DeepSeek leveraged it to do some load balancing work they couldn’t do in CUDA. They still also use CUDA.
avieshek@lemmy.world 12 hours ago
Hence, the word optimisation instead of simply pouring money. Same thing happens with games that doesn’t necessarily come up with a new engine.
boonhet@lemm.ee 4 hours ago
Your original comment was wrong on several counts and this one… just says nothing. I’m not sure what you’re trying to say even.