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Qualcomm Unveils Dragonfly Data Center Roadmap: C1000 CPU, AI300 Accelerator, and Modular Acquisition

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Qualcomm Unveils Dragonfly Data Center Roadmap: C1000 CPU, AI300 Accelerator, and Modular Acquisition

June 26, 2026
Qualcomm Technologies unveiled an ambitious end-to-end data center strategy at its 2026 Investor Day, anchored by three key moves: the planned acquisition of AI software firm Modular Inc., the new Dragonfly C1000 CPU and expanded inference accelerator lineup, and strengthened partnerships with Hugging Face and Meta. These initiatives solidify Qualcomm’s push to compete across the entire AI infrastructure stack, covering silicon, software and ecosystem enablement.

τελευταία εταιρεία περί Qualcomm Unveils Dragonfly Data Center Roadmap: C1000 CPU, AI300 Accelerator, and Modular Acquisition  0

Planned Acquisition of Modular Inc.


Qualcomm has signed a definitive agreement to acquire Modular Inc., whose AI software platform enables efficient AI workload execution across diverse heterogeneous hardware architectures. The transaction is slated to close in the second half of 2026, pending regulatory approvals and standard closing conditions.

Founded by developers of core AI infrastructure technologies, Modular has built an open, AI-native software stack compatible with CPUs, GPUs, NPUs and custom ASICs, eliminating the need for code rewriting across different hardware targets. Its cross-platform portability stands out as a major advantage, enabling one-time model development for universal deployment and lower overall operational costs.

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The acquisition addresses a critical AI deployment bottleneck. As Qualcomm highlights, raw performance is no longer the primary constraint; power efficiency has become the key limiting factor. Inference cost is heavily determined by performance per watt, and optimized software serves as a vital tool for economical AI scaling. Modular’s stack precisely targets this challenge, maximizing silicon efficiency for heterogeneous, disaggregated compute inference workloads.

For Qualcomm’s data center roadmap, the deal strengthens its capability to deliver optimized inference, workload orchestration and multi-scenario deployment across edge devices and hyperscale data centers with mixed hardware environments. Modular’s open, vendor-neutral developer community also extends Qualcomm’s reach within the global AI developer ecosystem.

Dragonfly C1000 CPU & Data Center Platform


Qualcomm launched the Dragonfly C1000, a custom data center CPU built on proprietary Oryon cores, tailored for agentic AI orchestration, general server workloads and AI head node operations. Adopting a multi-chiplet design with over 250 cores and 5GHz+ operating frequencies, the chip delivers over 2x higher performance per watt than competing mainstream server CPUs, per public benchmark specifications.

The C1000 supports PCIe Gen 7 bandwidth exceeding 2 TB/s and CXL connectivity for memory disaggregation and high-speed storage/network integration. Its advanced memory subsystem leverages low-power memory tech to balance high bandwidth, large capacity and energy efficiency. Supporting both air and liquid cooling, the platform complies with OCP ORv3 rack and server standards, with built-in ECC, fault isolation and error recovery features to ensure large-scale operational reliability. Commercial launch is scheduled for 2028.

The C1000 comes in three optimized configurations: an agent-focused CPU for high-throughput orchestration and low-latency interactive AI; a general-purpose CPU balancing performance and TCO for native workloads and elastic vCPU cloud services; and an AI head node CPU that boosts XPU utilization via low-overhead host processing and high-speed interconnects.

High Bandwidth Compute (HBC) Architecture


Central to Qualcomm’s inference accelerator roadmap is its High Bandwidth Compute (HBC) architecture, an innovative near-memory computing solution that integrates compute and high-bandwidth memory via 3D stacked silicon. Positioned as a high-efficiency alternative to traditional HBM, HBC delivers 6x higher bandwidth per watt than HBM and 200x higher capacity per watt than SRAM, based on normalized card and rack-level industry comparisons.

HBC Gen 1, integrated with the Dragonfly AI250, achieves 133 TB/s effective per-card memory bandwidth, an 18x jump over the LPDDR5X-based AI200. The newly unveiled AI300 incorporates HBC Gen 2, boosting bandwidth performance by 54x versus the AI200. HBC Gen 1-equipped AI250 is set for commercial sampling in mid-2027.

Dragonfly AI300 Inference Platform


Succeeding the 2025-launched AI200 and AI250, the Dragonfly AI300 is Qualcomm’s third-generation rack-scale AI inference platform. Equipped with HBC Gen 2 technology for enhanced memory bandwidth and capacity, it targets large language model, multimodal AI and agentic AI workloads. Qualcomm estimates the AI300 delivers 4x–8x higher per-card memory bandwidth per watt than existing GPU-based architectures. It supports scale-up via UALink and ESUN interfaces and scale-out via copper and optical interconnects, with commercial sampling planned for 2028.

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Data Center Connectivity Solutions


Qualcomm’s data center connectivity portfolio covers die-to-die, copper, optical and campus-grade interconnects, supporting 800G and 1.6T bandwidth for optical, AOC and AEC applications with up to 20km transmission range. Leveraging its mature SerDes, PAM4, coherent-lite DSP and signal integrity technologies, the portfolio resolves critical data movement bottlenecks in distributed, disaggregated AI infrastructure.

Custom Hyperscale Silicon Program


Qualcomm also announced a custom silicon program for hyperscalers and cloud providers, delivering tailored chips for agentic AI and specialized workloads. The program provides end-to-end co-design for silicon, systems and software, adopting advanced packaging and modular architectures to shorten time-to-market and reduce deployment risks via high-volume manufacturing support.

Expanded Partnerships with Hugging Face & Meta


Hugging Face Collaboration


Qualcomm expanded its strategic partnership with Hugging Face across its Snapdragon, Dragonwing and Dragonfly product lines, bridging Qualcomm’s full-device-to-data-center hardware ecosystem with Hugging Face’s 16 million developers and 3 million+ open-source AI models.

The collaboration features three core pillars. First, it integrates Hugging Face’s storage and inference services with Dragonfly-powered data center infrastructure, streamlining model experimentation to production deployment for AI applications and agents. Second, it automates model deployment: Hugging Face models will be optimized and deployed on Qualcomm platforms via agent-based workflows with zero manual integration, enabling unified deployment across mobile, PC, wearable, industrial, automotive and data center hardware.

Third, the two parties will jointly build a hybrid distributed AI orchestration framework, allowing AI agents to operate across on-device and cloud environments with dynamic workflow routing based on performance, cost, privacy and latency needs. Hugging Face will provide PRO access to users of Qualcomm-powered devices and cloud systems, while developers can access Modular’s AI software tools via the Hugging Face ecosystem, linking the Modular acquisition to the partnership strategy.

Meta Multi-Generation Alliance


Qualcomm and Meta inked a multi-generation strategic partnership, under which Qualcomm will supply data center CPUs for Meta’s server fleet. The Dragonfly C1000 is set to power Meta’s next-generation servers, marking a major design win that validates the chip’s performance and efficiency for large-scale cloud deployments.

Beyond Meta, over 35 industry partners across ODMs, memory suppliers, networking vendors and AI infrastructure providers including Arista, Lenovo, Micron, Samsung SDS, SK hynix America, Supermicro and VAST Data have endorsed Qualcomm’s data center strategy.

Qualcomm has outlined an annual-updated multi-generation data center roadmap. The new Dragonfly AI300 complements the existing AI200 and AI250 inference accelerators, forming a continuously evolving product lineup paired with the C1000 CPU platform and Modular’s software stack to drive full-stack AI infrastructure innovation.

Beijing Qianxing Jietong Technology Co., Ltd.
Sandy Yang/Global Strategy Director
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