According to Andrew Ng on Twitter, the strategic focus on GPUs was a pivotal decision for advancing artificial intelligence, enabling breakthroughs in deep learning and large-scale AI training (source: Andrew Ng, x.com/lefttailguy/status/1983601740462354937). The early recognition of GPUs’ parallel processing capabilities allowed for dramatic improvements in AI model performance and efficiency, especially in computer vision, natural language processing, and generative AI applications. This hardware focus has led to new business opportunities in AI infrastructure, cloud computing, and hardware optimization, shaping the competitive landscape for AI startups and enterprises (source: Andrew Ng, x.com/lefttailguy/status/1983601740462354937).