Qualcomm is making a larger move beyond smartphones with a new data center processor called Dragonfly C1000. The company says the chip is aimed at AI agents and is designed to combine strong performance with low-power consumption.
The announcement gives Qualcomm a clearer role in the infrastructure side of artificial intelligence. Instead of focusing only on the devices where AI is used, Qualcomm is now positioning itself closer to the servers and systems that run AI workloads at scale.
A New Processor Built Around AI Agents
Dragonfly C1000 is Qualcomm’s latest step into the data center market. According to Qualcomm, the processor is optimized for AI agents, a category of AI applications that can carry out tasks across software systems.
The company’s stated goal is to deliver high performance while keeping power consumption low. That positioning matters because data centers must balance computing demand with the practical limits of energy use, hardware density and operating cost.
The source article does not provide technical specifications for Dragonfly C1000. It does not list core counts, memory details, manufacturing process, benchmark results or pricing. What it does make clear is Qualcomm’s target: AI workloads in data centers, with AI agents placed at the center of the pitch.
Meta plans to deploy the processor starting in 2028. That gives Qualcomm a named future customer for the chip and a timeline for when the technology is expected to appear in a major deployment.
Why Meta’s 2028 Plan Matters
Meta’s planned deployment starting in 2028 gives the Dragonfly C1000 announcement more weight than a standard chip reveal. A data center processor needs software support, customer confidence and a path into real infrastructure. The source identifies Meta as part of that path.
The timing also shows that this is a long-term data center play. Qualcomm is not simply announcing a chip for immediate availability in the information provided. The article points to a future deployment window, which suggests the company is building toward a larger role over several years.
For readers tracking AI infrastructure, the important point is simple: Qualcomm wants to compete for the compute behind AI applications, not just for chips in smartphones and other devices. Dragonfly C1000 is the named processor in that strategy.
Modular Acquisition Adds a Software Piece
Qualcomm is also acquiring AI startup Modular for roughly $4 billion, Reuters reports. Modular builds software that allows AI applications to run across different chip architectures.
That software angle is important because data center chips do not stand alone. AI applications need to be developed, moved, optimized and operated across hardware systems. Software that works across different chip architectures can help reduce friction when companies use more than one kind of processor.
The source does not give further terms of the acquisition or describe Modular’s products in detail. It also does not say when the deal is expected to close. The key fact is that Qualcomm is pairing a stronger data center hardware push with a software company focused on AI portability across chip architectures.
This move also fits with Qualcomm’s recent direction in the category. Last year, Qualcomm unveiled its first two AI accelerator chips for data centers. Dragonfly C1000 now adds another named processor to that effort.
Qualcomm’s Revenue Ambitions Are Getting Bigger
The market reaction was immediate. Qualcomm’s stock jumped 15 percent in after-hours trading after the company nearly doubled its revenue forecast for non-smartphone businesses to $40 billion by 2029.
For data centers alone, Qualcomm is targeting $15 billion. That number shows how central the category has become to the company’s broader growth expectations outside smartphones.
The source article links three parts of Qualcomm’s strategy:
- Hardware: Dragonfly C1000 is a new processor for data centers.
- AI focus: The chip is optimized for AI agents and low-power consumption.
- Software reach: The Modular acquisition is intended to bring software that supports AI applications across different chip architectures.
Taken together, these moves point to a broader attempt to compete in AI infrastructure. Qualcomm is not only describing a chip; it is setting financial goals, naming a future deployment with Meta and adding software capability through Modular.
The Bigger Signal From Dragonfly C1000
Dragonfly C1000 marks Qualcomm’s push deeper into a market where AI demand is reshaping data center priorities. The company is presenting low-power consumption and AI agent optimization as central advantages.
For customers, the appeal of any data center processor depends on performance, power use, software support and deployment readiness. The source article gives Qualcomm’s claims and strategic direction, but it does not provide independent testing data or detailed specifications. Those details will be necessary to judge how Dragonfly C1000 compares in real deployments.
What is clear from the information available is that Qualcomm sees data centers as a major part of its future outside smartphones. With Meta planning deployment starting in 2028, a roughly $4 billion Modular acquisition and a $15 billion data center target, the company is putting numbers and names behind that ambition.