According to Sam Altman on Twitter, the progress in AI hardware since the delivery of the NVIDIA DGX-1 nine years ago has been remarkable, highlighting massive advancements in computational power and efficiency (source: Sam Altman, x.com/sama/status/1978300655069450611). The DGX-1, released in 2016, marked a turning point for deep learning by offering an integrated system optimized for AI workloads. Since then, the evolution toward advanced AI supercomputers has enabled faster model training, larger datasets, and more complex AI applications, fueling breakthroughs in generative AI and enterprise solutions (source: NVIDIA, nvidia.com). This rapid hardware innovation presents significant business opportunities for AI startups, cloud providers, and sectors leveraging AI-powered analytics and automation.