“Scarcity is the mother of invention” …looks like optimisation is back on the menu boys, something the Americans have forgotten whether for games, softwares, apps etc.
“Scarcity is the mother of invention” …looks like optimisation is back on the menu boys, something the Americans have forgotten whether for games, softwares, apps etc.
Per the article, they just developed a faster algorithm for a specific type of material simulation.
You’re underplaying it.
As per the article:
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.
Nvidia developed PTX, DeepSeek leveraged it to do some load balancing work they couldn’t do in CUDA. They still also use CUDA.
I am aware and hence the word optimisation (instead of simply pouring money by hardware).
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.
I guess some people are beyond help.
You are indeed.
You literally said they developed it.