The compute explosion is the technological story of our time and it's still only just beginning. From 1014 floating-point operations for early AI systems to over 1026 today, this staggering growth has enabled a myriad of AI advancements.

The key drivers are faster hardware, such as Nvidia’s chips delivering over sevenfold increases in just six years. Our own Maia 200 chip offers 30% better performance per dollar than any other in our fleet, and HBM technology now triples bandwidth, keeping processors busy around the clock.

Moreover, the global ecosystem of AI researchers has transformed from isolated individuals to vast supercomputers, with the largest clusters today harnessing over 100,000 GPUs. This growth is so rapid that it surpasses even Moore's Law predictions, and we're looking at another 1,000x increase in effective compute by 2028.

The implications are significant: from chatbots to semiautonomous systems capable of complex projects, every industry built on cognitive work will be transformed. However, the energy constraint looms large; an AI rack consumes as much power as 100 homes, but solar and battery costs have also plummeted over decades.

The AI revolution's trajectory is clear: it’s not just a tool for techies—it’s reshaping our world. The future is here, and we're only scratching the surface.