OpenAI Goes Silicon. And Why Custom Chips Are the Next Front in the AI Race
Logo Image Courtesy of OpenAI When OpenAI announced its partnership with Broadcom to design custom AI chips, it felt like another line being drawn in the sand of the AI hardware race. For years, OpenAI has relied heavily on Nvidia ’s GPUs to power its models, along with more recent deals involving also AMD , but this new collaboration signals something different; it’s a step toward vertical integration, toward owning more of the stack, going from algorithms all the way down to silicon. Let’s think about the scale here: the plan is to eventually deploy ten gigawatts of custom accelerators. To put that in perspective, that’s the output of around ten nuclear reactors. The numbers aren’t just flashy; they tell us how OpenAI sees its future, one where AI models demand unprecedented amounts of computers and where renting time on someone else’s chips isn’t enough. And the logic makes sense; Nvidia may be the king of GPUs, but relying on one vendor for something as strategic as compu...