Nvidia CEO Jensen Huang claims that Nvidia AI chips are outpacing Moore's Law as of now, something he likes to call the "hyper Moore’s Law". The Nvidia's GB200 NVL72 chip is reported to be 30-40x faster than its predecessor for AI inference tasks. Nvidia is able to sustain this growth by developing architecture, chips, and software simultaneously, something that Apple claimed with Apple Silicon too. Expect rapid performance improvements across training and inference stages as chips become more efficient.
This rapid progress will lead to AI costs getting cut down drastically, making advanced models like Open AI o3 cheaper and easily accessible. As inference costs keep going down, AI will integrate deeper into common use devices. Future chips may power models with smarter reasoning and improved learning efficiency, creating a feedback loop of better AI at lower costs. I still feel that all this breakneck speed of improvement and AI becoming mainstream will continue for next several years before it starts to slow down. But who knows, maybe we will finally make a breakthrough in quantum computing soon.
Source: https://techcrunch.com/2025/01/07/nvidia-ceo-says-his-ai-chips-are-improving-faster-than-moores-law/
This rapid progress will lead to AI costs getting cut down drastically, making advanced models like Open AI o3 cheaper and easily accessible. As inference costs keep going down, AI will integrate deeper into common use devices. Future chips may power models with smarter reasoning and improved learning efficiency, creating a feedback loop of better AI at lower costs. I still feel that all this breakneck speed of improvement and AI becoming mainstream will continue for next several years before it starts to slow down. But who knows, maybe we will finally make a breakthrough in quantum computing soon.
Source: https://techcrunch.com/2025/01/07/nvidia-ceo-says-his-ai-chips-are-improving-faster-than-moores-law/