Multiverse Computing’s AI fashions will probably be specialised for Qualcomm Dragonfly AI200 and AI250 accelerators
Multiverse Computing immediately introduced a collaboration with Qualcomm Applied sciences, Inc. to carry extremely environment friendly AI fashions to knowledge facilities worldwide. Multiverse Computing’s AI fashions will probably be specialised for Qualcomm Dragonfly™ AI200 and AI250 accelerators. The collaboration focuses on Qualcomm Applied sciences’ AI acceleration {hardware} and Multiverse Computing’s mannequin optimization expertise to allow knowledge middle operators to run large-scale AI workloads with increased efficiency and decrease energy consumption.
For knowledge middle operators, the direct profit is extra capability on the identical {hardware}. By optimizing AI fashions earlier than they run on Qualcomm Dragonfly AI200 and AI250 accelerators, Multiverse Computing reduces the compute and reminiscence footprint every mannequin requires. That frees up headroom on present deployments, letting operators serve extra inference requests, run extra fashions concurrently, or scale their AI companies with out including new accelerators or increasing knowledge middle infrastructure.
The effectivity beneficial properties have been demonstrated stay at Cell World Congress in March 2026, the place Multiverse Computing and Qualcomm Applied sciences showcased a compressed open-source massive language mannequin working on a Qualcomm® Cloud AI100 Extremely accelerator. In a real-time emergency medical reporting use case, the compressed mannequin demo delivered as much as 93% quicker response occasions and as much as 44% increased throughput than the uncompressed base mannequin, whereas lowering reminiscence utilization by as much as 45% and energy consumption by as much as 21%, with no loss in accuracy.
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In a second demonstration, an on-premises Retrieval-Augmented Era (RAG) chatbot for querying confidential monetary paperwork ran as much as 35% quicker and delivered as much as 54% increased throughput, whereas slicing reminiscence utilization by as much as 45% and energy consumption by as much as 14%, once more with no loss in accuracy.
Purposes working on the brand new Qualcomm Dragonfly AI200 and AI250 accelerators will probably be poised to ship even higher benchmark outcomes.
“Qualcomm Applied sciences has constructed its management in segments reminiscent of cell and IoT, the place maximizing efficiency inside strict energy and effectivity constraints has all the time been important. Those self same ideas at the moment are turning into vital in AI knowledge facilities. By combining Qualcomm Applied sciences’ extremely environment friendly and performant AI accelerators with Multiverse Computing’s mannequin compression and optimization expertise, we may help prospects obtain breakthrough enhancements in efficiency, price, and vitality effectivity at scale.”
Victor Gaspar, Chief Gross sales Officer at Multiverse Computing
“As AI adoption accelerates throughout enterprise and cloud infrastructure, prospects want options that ship excessive efficiency with better effectivity. Qualcomm Applied sciences brings industry-leading AI acceleration, whereas Multiverse Computing works carefully with prospects, their AI fashions, and their particular use circumstances to optimize real-world deployments. Collectively, we are able to ship extremely environment friendly AI options tailor-made to the wants of contemporary knowledge facilities.”
Dino Flore, Vice President, Know-how at Qualcomm Europe, Inc.
The collaboration displays a broader shift within the knowledge middle {industry} towards efficiency-first AI infrastructure, as operators look to scale AI deployments with out a proportional improve in {hardware}, vitality, and value. By combining Qualcomm Applied sciences’ AI accelerators with Multiverse Computing’s optimized AI fashions, the 2 corporations present knowledge middle operators and enterprises with a sensible path to scalable AI.
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