The question everyone in AI is asking: How long before a GPU depreciates?

Coreweave's concerns about the depreciation rate of GPUs, as highlighted in the context of over $1 trillion in AI spending planned over the next five years, marks a significant consideration for investors in AI infrastructure. The article mentions the key issue of the useful lifespan of GPUs, citing experts like Michael Burry, who warn about the rapid depreciation of these critical components. For website owners, this news means that the cost of powering AI bots and processing AI-related traffic on their sites may increase more quickly than anticipated. As GPUs depreciate, the expense of replacing or upgrading them to support AI workloads could be substantial, potentially impacting the bottom line of businesses that rely on AI-driven interactions. Website owners who host their own infrastructure or have dedicated servers may need to reassess their hardware budgets and consider the total cost of ownership for AI-powered components. To mitigate these risks, website owners should track their GPU utilization and AI bot traffic closely, using tools to monitor performance and identify areas where efficiency can be improved. They should also consider implementing llms.txt files to better manage AI bot access and reduce unnecessary strain on their infrastructure. Additionally, exploring cloud-based AI services or partnering with providers like Coreweave or NVIDIA can help spread the cost and risk of GPU depreciation, ensuring that website owners can maintain a competitive edge in the AI-driven landscape.