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Qualcomm Bets Big on AI Data Centers with New Chip
(MENAFN) Qualcomm is stepping up its ambitions in the artificial intelligence infrastructure race, unveiling a new data center central processing unit on Wednesday called the Dragonfly C1000.
Meta will be the chip's first major customer, the US chipmaker confirmed, with production targeted to begin in 2028.
According to Qualcomm, the Dragonfly C1000 was purpose-built for agentic AI workloads — prioritizing strong computing power while minimizing energy draw, a make-or-break factor for operators running massive data centers.
The chip was revealed at Qualcomm's investor presentation, where the company sketched out a broader data center roadmap that includes both AI processors and connectivity products linking multiple chips together.
CEO Cristiano Amon told investors the company had spent recent years gathering assets and growing its technical capabilities to assemble a more complete portfolio for its next chapter in data centers.
The strategy marks Qualcomm's clearest move yet to break away from its dependence on smartphone chips, which generated roughly two-thirds of its product revenue in the quarter that closed in March. With smartphone shipment volumes still trailing their 2017 high-water mark, the company is now eyeing expansion into automotive, robotics, and AI infrastructure.
Qualcomm argued that its history building power-efficient chips for phones and PCs gives it an edge with hyperscale data center clients, where managing energy costs has become an urgent priority. The company also revealed it had already struck two custom silicon agreements with hyperscale partners.
Asked whether Qualcomm was late to the data center game, Amon dismissed the concern, insisting that scale, execution, engineering know-how, operational strength, and supply chain depth — not timing — are what determine success in the sector.
Meta will be the chip's first major customer, the US chipmaker confirmed, with production targeted to begin in 2028.
According to Qualcomm, the Dragonfly C1000 was purpose-built for agentic AI workloads — prioritizing strong computing power while minimizing energy draw, a make-or-break factor for operators running massive data centers.
The chip was revealed at Qualcomm's investor presentation, where the company sketched out a broader data center roadmap that includes both AI processors and connectivity products linking multiple chips together.
CEO Cristiano Amon told investors the company had spent recent years gathering assets and growing its technical capabilities to assemble a more complete portfolio for its next chapter in data centers.
The strategy marks Qualcomm's clearest move yet to break away from its dependence on smartphone chips, which generated roughly two-thirds of its product revenue in the quarter that closed in March. With smartphone shipment volumes still trailing their 2017 high-water mark, the company is now eyeing expansion into automotive, robotics, and AI infrastructure.
Qualcomm argued that its history building power-efficient chips for phones and PCs gives it an edge with hyperscale data center clients, where managing energy costs has become an urgent priority. The company also revealed it had already struck two custom silicon agreements with hyperscale partners.
Asked whether Qualcomm was late to the data center game, Amon dismissed the concern, insisting that scale, execution, engineering know-how, operational strength, and supply chain depth — not timing — are what determine success in the sector.
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