Multiverse Computing demonstrated 93 percent faster response times in a real-time emergency medical reporting scenario by running a compressed large language model on Qualcomm Dragonfly AI200/250 accelerators, as showcased at Mobile World Congress in March 2026. The collaboration between Multiverse Computing and Qualcomm Technologies focuses on optimizing AI models for Qualcomm’s hardware, reducing the compute and memory needed for large-scale AI workloads. This work also achieved up to a 45 percent reduction in memory usage and 21 percent lower power consumption without sacrificing accuracy.
Qualcomm Dragonfly Accelerators Enhance Multiverse Computing AI Models
Qualcomm’s Dragonfly AI200 and AI250 accelerators are improving the efficiency of artificial intelligence models used in data centers, as evidenced by a collaboration with Multiverse Computing announced on August 5. The partnership focuses on optimizing AI workloads to maximize performance while minimizing power consumption, a critical need as data center operators seek to scale AI deployments sustainably. Multiverse Computing specializes in model compression and optimization, tailoring AI models to run effectively on Qualcomm’s hardware; this approach directly addresses the growing demand for increased data center capacity without requiring substantial infrastructure expansion.
The efficiency gains stem from a combined focus on hardware and software optimization. Qualcomm Technologies’ expertise in power-constrained computing, honed in mobile and IoT sectors, is now being applied to the demands of AI data centers.
Victor Gaspar, Chief Sales Officer at Multiverse Computing, said, “Qualcomm Technologies has built its leadership in segments such as mobile and IoT, where maximizing performance within strict power and efficiency constraints has always been essential. Those same principles are now becoming critical in AI data centers.” The collaboration aims to provide data center operators with a pathway to scalable AI solutions, enabling them to serve more inference requests, run more models concurrently, or expand services without adding new hardware.
Dino Flore, Vice President, Technology at Qualcomm Europe Inc., emphasized this point, stating, “As AI adoption accelerates across enterprise and cloud infrastructure, customers need solutions that deliver high performance with greater efficiency. Qualcomm Technologies brings industry-leading AI acceleration, while Multiverse Computing works closely with customers, their AI models, and their specific use cases to optimize real-world deployments.” Together, they can deliver highly efficient AI solutions tailored to the needs of modern data centers. This partnership reflects a broader industry trend toward prioritizing efficiency in AI infrastructure, allowing operators to scale AI deployments without proportional increases in hardware costs and energy usage.
Qualcomm Technologies has built its leadership in segments such as mobile and IoT, where maximizing performance within strict power and efficiency constraints has always been essential. Those same principles are now becoming critical in AI data centers.
Source: https://multiversecomputing.com
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