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Qualcomm Technologies and Amazon have entered into a multi-generation collaboration to deliver customized silicon at scale for AWS’s AI data centers, with AI inference as the primary target. The agreement pairs Qualcomm’s power-efficient processing, silicon design, and system-level integration with Amazon’s AI infrastructure, and is aimed at the compute, memory bandwidth, networking, and energy constraints that come with running inference at hyperscale volume. Neither company named specific parts, delivery dates, or financial terms. Custom Silicon and 1.6T Optical Connectivity Beyond the compute silicon, the two companies are co-developing high-performance optical connectivity for Amazon’s data center networks, with solutions reaching 1.6T and future generations on the roadmap. That work draws on Qualcomm’s high-speed SerDes and optical DSP technologies, the same connectivity portfolio the company laid out at its June Investor Day alongside the Dragonfly C1000 CPU and AI300 accelerator. The intent is to keep network bandwidth from becoming the bottleneck as inference clusters scale out across racks. The relationship also runs in the other direction. Qualcomm plans to deepen its use of AWS AI infrastructure, including Amazon Bedrock, for its electronic design automation (EDA) workloads, with the stated goal of shortening chip design cycles. That puts AWS compute behind the modeling and verification work for the very silicon Qualcomm will be building for Amazon. What the Deal Signals Executives on both sides framed the agreement around compute and connectivity advancing together. “As AI demand accelerates, data center infrastructure will require advances in both computing and connectivity to deliver greater performance with more efficiency,” said Cristiano Amon, President and CEO of Qualcomm Incorporated. Prasad Kalyanaraman, Vice President at AWS, said the collaboration “builds on a strong foundation of partnership” and that “by working together on customized silicon and advanced connectivity, we’re delivering more performant, efficient, and cost-effective infrastructure for our customers.” The announcement lands as Qualcomm pushes hard into the data center. The June Investor Day put a CPU, a roadmap of AI200, AI250, and AI300 inference accelerators, and a connectivity portfolio on the table, and the company closed its acquisition of Modular in July to give that silicon a software stack that does not depend on CUDA. AWS already designs its own Trainium and Inferentia accelerators through Annapurna Labs, so the open question is where Qualcomm-built silicon fits alongside those parts. The release does not say, but a multi-generation commitment from the largest cloud provider is the strongest customer signal Qualcomm’s data center business has shown so far.
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