NVIDIA Could Release AI-Optimized Drivers, Improving Overall Performance
NVIDIA is using artificial intelligence to design and develop parts of its chip designs, as we have seen in the past, making optimization much more efficient. However, today we have a new rumor that NVIDIA will use AI to optimize its driver performance to reach grounds that the human workforce can not. According to CapFrameX, NVIDIA is allegedly preparing special drivers with optimizations done by AI algorithms. As the source claims, the average improvement will yield a 10% performance increase with up to 30% in best-case scenarios. Presumably, AI can do optimization on two fronts: shader compiles / game optimization side or for power management, which includes clocks, voltages, and boost frequency curves.
It still needs to be made clear which aspect will company's AI optimize and work on; however, it can be a combination of two, given the expected drastic improvement in performance. Special tuning of code for more efficient execution and a better power/frequency curve will bring the efficiency level one notch above current releases. We have already seen AI solve these problems last year with the PrefixML model that compacted circuit design by 25%. We need to find out which cards NVIDIA plans to target, and we can only assume that the latest-generation GeForce RTX 40 series will be the goal if the project is made public in Q1 of this year.
It still needs to be made clear which aspect will company's AI optimize and work on; however, it can be a combination of two, given the expected drastic improvement in performance. Special tuning of code for more efficient execution and a better power/frequency curve will bring the efficiency level one notch above current releases. We have already seen AI solve these problems last year with the PrefixML model that compacted circuit design by 25%. We need to find out which cards NVIDIA plans to target, and we can only assume that the latest-generation GeForce RTX 40 series will be the goal if the project is made public in Q1 of this year.