Qualcomm is shifting from defending its mobile-chip business to pursuing AI infrastructure, leveraging its expertise in power-efficient processors for data-center inference and robotics.

Qualcomm presented a three-pronged strategy for the server market: server processors based on 80 custom Oryon cores, specialized inference accelerators of the AI200/AI250 series, and custom chips tailored for cloud providers. The company is cooperating with an unnamed large client on the delivery of AI chips by the end of this year.

The company released the Dragonwing IQ10 platform in the beginning of 2026, a specialized line of turnkey chips for robotics that unites neural network calculations, computer vision, actuator control, and 5G/Wi-Fi 7 communication on a single die. In March 2026, Qualcomm announced a deep integration of its platforms with NEURA Robotics.

Qualcomm's engineering strength lies in 'cold' chip design—maximizing performance under strict power constraints—which differs from Nvidia's 'hot' chips prioritizing absolute productivity. As cloud giants face hard limits on energy consumption and total cost of ownership from inference workloads, Qualcomm's power-efficient architecture is entering high demand.