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Well, the initial emphasis here was optimisation and the argument going on extension is anything other than the main emphasis here so… ¯_(ツ)_/¯
I am rubber and you’re glue - whatever you say bounces off me and sticks to you.
Well, the initial emphasis here was optimisation and the argument going on extension is anything other than the main emphasis here so… ¯_(ツ)_/¯
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I guess some people are beyond help.
I am aware and hence the word optimisation (instead of simply pouring money by hardware).
Yes, exactly… For another example, the DeepSeek team developed their own replacement to CUDA with 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.
AMD is much of a scum as Nvidia is or Intel was, that’s why DeepSeek is something that came from China and you would need a new player completely outside of the current chain.
*Developed their own replacement using PTX to gain granular control over CUDA and hence the emphasis with optimisation as a user so all software, app, game and likewise developers take this practice into consideration again.