Qualcomm & Amazon Partner on AI Inference Chips and 1.6T Optical Connectivity

On September 8, 2026, Qualcomm and Amazon announced a major AI infrastructure collaboration spanning multiple product generations. The two companies will jointly develop multi‑generation custom chips for large‑scale AI data centers, with a focus on AI inference scenarios. At the same time, they are co‑developing optical interconnect solutions capable of reaching speeds up to 1.6T, as well as next‑generation connectivity technologies.

Strategic Complementarity

Qualcomm Amazon.jpgThe exponential growth of AI workloads has placed unprecedented demands on compute power, storage, network bandwidth, and energy efficiency. This partnership combines Amazon's secure, cost‑effective AI cloud infrastructure with Qualcomm's strengths in low‑power processing, chip design, and system integration. For Qualcomm, long known for its dominance in mobile chips, deeply integrating into AWS—the world's largest cloud ecosystem—marks a critical breakthrough in its data center strategy.

 

Qualcomm has already established a presence in the AI inference space: in October 2025, it unveiled two accelerators—the AI200, which emphasizes large memory and low‑cost inference and is set for commercial deployment in 2026, and the AI250, which employs a near‑memory compute architecture and delivers over a 10‑fold improvement in effective memory bandwidth, scheduled for a 2027 launch. In June 2026, Qualcomm announced its data‑center CPU, the Dragonfly C1000, with Meta planning to deploy it by 2028.

Optical Connectivity Collaboration

The two companies will base their optical interconnect cooperation on Qualcomm's SerDes and optical DSP technologies. These technologies originate from Alphawave Semi, which Qualcomm acquired in 2025 to strengthen its capabilities in high‑speed interconnect, chiplet design, and custom silicon. This collaboration will effectively support the bandwidth and scale required by the ongoing expansion of AI infrastructure.

In addition, Qualcomm will increase its use of AWS AI infrastructure, including applying the Amazon Bedrock platform to electronic design automation (EDA) workloads, with the goal of shortening chip design cycles. This arrangement makes Amazon both a chip customer and a technology tool provider for Qualcomm, creating a deep two‑way synergy.

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