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Qualcomm and IBM Expand Collaboration to Advance Generative AI Across Edge and Cloud
Qualcomm Technologies and IBM announced on Thursday an expanded collaboration to advance enterprise-grade generative artificial intelligence (Gen AI) solutions across edge and cloud devices. The collaboration, announced just ahead of Mobile World Congress 2025 (MWC25), aims to enhance AI
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Qualcomm and IBM expand collaboration for Enterprise Generative AI
Ahead of MWC Barcelona 2025, Qualcomm and IBM have announced an expanded collaboration focused on delivering enterprise-grade generative artificial intelligence (AI) solutions across edge and cloud devices. The companies aim to enhance immediacy, privacy, reliability, personalization, and reduce
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Qualcomm and IBM announce collaboration on enterprise-grade AI - Phandroid
Qualcomm and IBM have announced a major partnership to bring more powerful and efficient AI technology to businesses. This will help them use AI across different devices, ranging from cloud servers to smartphones. This move could make AI smarter, faster, and more cost-effective for companies in the
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Qualcomm and IBM announce an expanded partnership to develop and deploy enterprise-grade generative AI solutions, integrating IBM's watsonx.governance and Granite models with Qualcomm's hardware platforms to enhance AI performance, security, and efficiency across edge and cloud devices.

In a significant move to revolutionize enterprise-grade artificial intelligence (AI), Qualcomm Technologies and IBM have announced an expanded collaboration aimed at advancing generative AI solutions across edge and cloud devices. The partnership, revealed just before Mobile World Congress 2025 (MWC25), focuses on enhancing AI performance while ensuring governance, security, and efficiency
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.The collaboration centers on integrating IBM's watsonx.governance with Qualcomm Technologies' platforms and enabling support for IBM's Granite models through the Qualcomm AI Inference Suite and AI Hub. This integration aims to provide end-to-end generative AI solutions at the edge, incorporating robust governance features for model deployment, operation monitoring, and decision-making
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.Building upon their previous announcement at CES, the companies plan to run watsonx.governance, along with the Granite Guardian 8B and Granite 3.1 8B models, on a Snapdragon 8 Elite reference design and the Qualcomm Dragonwing AI On-Prem Appliance Solution. This setup utilizes the Qualcomm AI Inference Suite to enhance overall AI reliability from edge to cloud
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.The partnership seeks to combine on-device inferencing, low power consumption, and privacy features with the performance of IBM's watsonx platform. This integration is designed to address key concerns for businesses utilizing AI solutions, including security, efficiency, reliability, and governance
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.Qualcomm has optimized IBM's Granite 3.1, the third-generation flagship language model, for the Qualcomm AI Hub. This optimization enables developers and businesses to leverage AI capabilities at the edge more effectively. Additionally, Qualcomm's Cloud AI family of accelerators has been certified for Red Hat OpenShift, facilitating the scalable deployment of IBM's software applications, including watsonx, on hardware solutions utilizing Qualcomm Cloud AI accelerators
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This collaboration is expected to make AI more accessible and practical for companies across various scales. It promises to lower costs, improve security, and increase the efficiency of AI-powered applications that can run on diverse devices, from powerful cloud servers to smartphones and tablets
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.Durga Malladi, Senior Vice President at Qualcomm Technologies, expressed excitement about the collaboration, highlighting its potential to deliver fast, personalized AI solutions with robust governance and monitoring capabilities
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. Ritika Gunnar, General Manager of Data and AI at IBM, emphasized how this partnership strengthens their ability to bring enterprise-grade generative AI from the cloud to the edge, helping businesses capitalize on AI's transformative power regardless of data location1
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