Ask anyone what Nvidia makes, and they’re likely to first say “GPUs.” For decades, the chipmaker has been defined by advanced parallel computing, and the emergence of generative AI and the resulting surge in demand for GPUs has been a boon for the company. But Nvidia’s recent moves signal that it’s looking to lock in more customers at the less compute-intensive end of the AI market—customers who don’t necessarily need the beefiest, most powerful GPUs to train AI models, but instead are looking for the most efficient ways to run agentic AI software. Nvidia recently spent billions to license technology from a chip startup focused on low-latency AI computing, and also started selling standalone CPUs as part of its latest superchip system. And yesterday, Nvidia and Meta announced that the social media giant had agreed to buy billions of dollars worth of Nvidia chips to provide computing power for the social media giant’s massive infrastructure projects—with Nvidia’s CPUs as part of the deal. The multi-year deal is an expansion of a cozy ongoing partnership between …