Qualcomm Acquires Modular Inc., Boosts AI Chip Portfolio

Qualcomm Inc. is significantly accelerating its artificial intelligence trajectory, marked by a substantial 14% surge in its stock following a series of strategic announcements. The chip giant revealed plans to acquire the inference software innovator Modular Inc. for approximately $3.92 billion, a move designed to streamline AI model deployment across its hardware ecosystem. This acquisition, financed through 19.2 million shares, more than doubles the valuation Modular Inc. achieved in its prior funding rounds, which had secured $380 million from prominent investors including Alphabet Inc.'s GV and Greylock.

The integration of Modular Inc.'s automated software platform is poised to address a critical industry bottleneck: the complex and time-consuming process of adapting AI models to different hardware architectures. Historically, developers faced extensive coding challenges when porting models between chips. Modular Inc.'s technology promises to automate these modifications, potentially easing the transition for customers looking to utilize Qualcomm's expanding portfolio of AI silicon and offering a compelling alternative to established players like Nvidia Corp.

Beyond the acquisition, Qualcomm unveiled two new data center processors at its recent investor event. The Dragonfly C1000 is engineered as a high-performance CPU for AI-intensive server workloads, boasting over 250 cores operating at speeds exceeding 5 gigahertz. The company projects this CPU will deliver double the performance per watt compared to current processors with similar capabilities, enhancing the cost-efficiency of AI cluster deployments. Notably, Meta Platforms Inc. has committed to integrating the C1000 into its server infrastructure through a multi-year, multi-generation supply agreement, signaling strong confidence in Qualcomm's future offerings.

Complementing the CPU, the Dragonfly AI300 is introduced as a machine learning accelerator designed for both air- and liquid-cooled server environments. While specific architectural details remain limited, Qualcomm anticipates the AI300 will offer superior performance per watt compared to existing accelerators in the market. These new chips underscore Qualcomm's commitment to capturing a larger share of the rapidly growing AI hardware market, which is projected to reach hundreds of billions of dollars in the coming years.

These strategic advancements are reflected in Qualcomm's significantly upgraded financial outlook. The company now forecasts its non-handset revenue segment, encompassing its data center and automotive businesses, to reach $40 billion by fiscal year 2029, an upward revision of $18 billion from its previous guidance. Furthermore, Qualcomm raised its adjusted earnings per share forecast to $18, surpassing the consensus analyst estimate of $15.26. This robust guidance, bolstered by key customer commitments like that from Meta Platforms Inc., positions Qualcomm for substantial growth in the competitive AI chip arena.