AI applications are enormously powerful, but they can also consume massive amounts of energy. A recent study published at the ACM Conference on Fairness, Accountability, and Transparency, recorded that a single training run of a popular transformer model can consume roughly eight times the average annual household energy budget in the United States. Clearly, if things don’t change, scaling out these AI applications is going to critically impact our energy consumption, our infrastructure, and the way we build data centers.
Excitingly, AI design tools can directly help our global efforts toward net zero by better optimizing AI processor chips for energy efficiency. According to an informal study Synopsys recently conducted, optimizing an AI chip with AI design tools delivered, on average, about 8% energy savings across the board. Now, apply that 8% savings to every datacenter in the world. That represents an enormous amount of energy, and this study just scratched the surface.
To that end, we see the benefits going beyond chip design; think optimizing the nation’s energy grid performance, maximizing crop yield, minimizing water consumption, reducing energy usage required for cooling buildings, and more. These are just a few examples of ways that AI can both reduce its carbon footprint and compensate by bringing benefit to the environment.
Over the next year, advances in AI tools and functions will support innovation across the industry and provide easier access for new entrants while leveling the playing field for smaller enterprises. To keep moving forward, enterprises need AI chipsets that deliver greater levels of compute at higher speeds while consuming less power. Synopsys’s broad portfolio of AI design solutions and IP provide companies with an avenue to competitive differentiation, whether they are in the application space, the chip development space, or both. We believe in the ability of AI to change the world through disruptive technologies. That’s why we are focused on making it a little easier and faster to create these potent silicon devices.