During a lengthy technical workshop last week at the company’s headquarters in Santa Clara, California, Nvidia executives boasted to a small group of journalists about the chip system’s increased power and efficiency capabilities.
The biggest takeaway: Nvidia, which has long specialized in making GPUs, is increasingly trying to position itself as a supplier of CPUs that can power AI agents.
While GPUs are still the main hardware that companies use to train and run their AI models, the industry's shift toward more complex, agentic systems has increased demand for CPUs, which can orchestrate data flows, networking, and other software tasks.
That's likely one reason Nvidia has been eager to promote itself as a supplier of complete AI systems, rather than just AI chips.
Vera Rubin is Nvidia’s successor to its hybrid superchip system Grace Blackwell, and represents the linchpin of its near-term future powering the AI industry.
