Mahi Sall, Advisor, Fintech-Bank Partnerships, Payments and Financial Inclusivity
January 25th, 2023
ESG | Sep 5, 2023
Image: Unsplash/Thomas Kelley
In the ever-evolving landscape of technology, energy consumption has become a pivotal concern. As AI's demand surges, mirroring Bitcoin's energy-intensive history, it's crucial to understand and adapt.
The global fascination with artificial intelligence is undeniable. However, this burgeoning interest comes with a hefty price – a strain on our electricity grids. As AI's popularity parallels Bitcoin's trajectory, the energy implications become even more significant. Bitcoin, with its massive energy appetite, offers a roadmap for AI's energy journey.
Nvidia Corp's skyrocketing data-center revenue is a testament to AI's growing demand. Applications like ChatGPT are just the tip of the iceberg. However, the energy demands of such advancements, exemplified by Nvidia's GH200 Grace Hopper Superchip, are a cause for concern. This power-hungry component, drawing up to 1,000 watts, is a stark reminder of the energy challenges ahead.
Training AI models isn't just about data and algorithms; it's also about energy. Take BLOOM from HuggingFace, for instance. This model's training required a staggering 24.7 metric tons of CO2, a figure that doubles when considering the entire system's network connections and idle time. Such statistics underscore the urgent need for sustainable AI training methodologies.
Beyond training, AI's energy consumption continues. As highlighted by Amazon.com Inc., 90% of AI's energy costs arise during its operational phase. The energy required for inferencing, or implementing data, is believed to be tenfold that of the initial training phase. Such figures emphasize the long-term energy implications of AI systems.
Bitcoin, despite its energy challenges, has showcased the potential of renewable energy. Cold regions abundant in renewable energy, like Iceland, have emerged as hubs for Bitcoin operations. Such models present a viable blueprint for AI's energy future, emphasizing the importance of sustainable energy sources.
As we stand at the cusp of an AI revolution, it's imperative to prioritize sustainability. By learning from Bitcoin's energy journey, we can ensure that AI's growth is both innovative and environmentally responsible.
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