Qualcomm enters data center market with Dragonfly chips, eyes smartphone integration

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Qualcomm unveiled its data center portfolio including Dragonfly processors and High Bandwidth Compute architecture at its investor day, securing partnerships with Microsoft and Meta. The company plans to bring the technology to smartphones, enabling more powerful on-device AI capabilities while targeting over 5% of the trillion-dollar data center market within five to seven years.

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Qualcomm Unveils Comprehensive Data Center Portfolio

Qualcomm made a major push into the data center business this week, announcing a comprehensive portfolio of components designed to compete in AI infrastructure. At its investor day event in New York, CEO Cristiano Amon declared the company's ambition to "become a full-stack player in physical AI, compute, everywhere"

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. The San Diego-based chipmaker, known primarily for powering smartphones and wearable devices, is now targeting some of the largest computing operations in the world.

The new portfolio includes multiple processors under the Dragonfly brand, featuring the Dragonfly C1000 CPU and the Dragonfly AI300 inference accelerator, alongside previously announced AI200 and AI200 accelerators. Tony Pialis, Qualcomm's EVP and GM for data center, outlined an aggressive rollout schedule: connectivity products launch this year, followed by the new AI accelerator and custom silicon products in 2026, with the CPU arriving in 2028

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High Bandwidth Compute Architecture Tackles Memory Bottlenecks

At the heart of Qualcomm's data center strategy sits its proprietary High Bandwidth Compute architecture, which addresses critical performance limitations in current AI workloads. The technology vertically stacks chips instead of placing them side by side, positioning memory and compute closer together to improve data speed and flow

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. This tight coupling of memory and processing aims to solve what Pialis called the "memory bottleneck" in data center architectures that separate processors from optimized memory technologies like HBM and SRAM.

The performance advantages appear substantial. Pialis claimed that "we can deploy multiple HBC stacks within a single compute device using standard packaging," delivering a 200x increase in capacity per watt compared with SRAM and a 6x increase in bandwidth per watt on large workloads compared with HBM

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. These metrics could position Qualcomm's Qualcomm data center chip offerings as competitive alternatives in a market dominated by established players.

Microsoft and Meta Back Qualcomm's AI Infrastructure Play

Qualcomm secured two heavyweight partners for its data center ambitions: Microsoft and Meta. Microsoft CEO Satya Nadella praised the approach in a video statement, saying "HBC implements an innovative architecture, with high memory bandwidth and integrated compute, that unlocks significant improvements in cost and performance for the next generation of AI infrastructure"

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. Meta CEO Mark Zuckerberg called the collaboration "a multigenerational partnership" that will help deliver what he termed "personal superintelligence" to billions of users.

Pialis noted that hyperscale customers have actively sought Qualcomm's participation: "I have not had to push my way into hyperscale customers. They've been pulling us in"

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. This customer demand suggests the company's engineering capabilities and supply chain expertise translate effectively to data center requirements, even as it enters a market facing supply shortages and intense competition.

Strategic Acquisitions and Partnerships Accelerate AI Deployment

To strengthen its position, Qualcomm announced plans to acquire AI-development startup Modular at an undisclosed price and formed what Amon called a "very strategic" partnership with Hugging Face. This collaboration aims to enable AI firms to deploy new models on Qualcomm's hardware with "zero manual integration work"

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. Hugging Face Co-Founder and CEO Clément Delangue confirmed that users "will be able to take any model, big or small, deploy it optimized on any Qualcomm platform with AI agents running on device and orchestrating across the cloud."

Qualcomm's CFO Akash Palkhiwala set ambitious financial targets, stating the company sees a total addressable market exceeding one trillion dollars and aims to capture more than 5% of that market within five to seven years

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. This would represent a significant revenue stream for a company expanding aggressively beyond its traditional smartphone business.

Data Center Technology Coming to Smartphones and Beyond

Executive Vice President Durga Malladi revealed that Qualcomm plans to bring its data center chip technology to smartphones, potentially transforming on-device AI performance. "What starts in data centers is not going to end there," Malladi told Semafor

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. The company is already in discussions with manufacturers of smartphones, personal computers, and cars about integrating the new technology portfolio.

When chip stacking technology reaches handheld devices, users will be able to run more AI models locally and operate agents in an "always on" mode without draining the battery

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. While the first generation launches in data centers next year with commercial availability in 2028, Malladi did not specify when Qualcomm will integrate the technology into other devices. This cross-platform strategy could give Qualcomm a unique advantage, leveraging its dominant position in mobile chips to create synergies with its nascent data center business and deliver consistent AI performance across edge and cloud computing environments.

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