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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 performance while ensuring governance, security, and efficiency. Also Read: Qualcomm Unveils Dragonwing Brand for Industrial and Embedded IoT Solutions Through this collaboration, the companies plan to integrate watsonx.governance for generative AI solutions powered by Qualcomm Technologies' platforms and enable support for IBM's Granite models through the Qualcomm AI Inference Suite and AI Hub. "At Qualcomm Technologies, we are excited to join forces with IBM to deliver cutting-edge, enterprise-grade generative AI solutions for devices across the edge and cloud," said Durga Malladi, Senior Vice President and General Manager of Technology Planning and Edge Solutions at Qualcomm Technologies. "This collaboration enables businesses to deploy AI solutions that are not only fast and personalized but also come with robust governance, monitoring, and decision-making capabilities, with the ability to enhance the overall reliability of AI from edge to cloud." Also Read: CES 2025: Qualcomm Unveils AI Innovations and Collaborations Across Multiple Sectors Expanding upon the announcement at CES, the companies plan to run watsonx.governance, as well as the Granite Guardian 8B and Granite 3.1 8B models, on a Snapdragon 8 Elite reference design and the Dragonwing AI On-Prem Appliance Solution with the Qualcomm AI Inference Suite. According to the companies, these models work in tandem, bringing AI-powered decision-making with built-in guardrails for enterprise applications. Through this collaboration, Qualcomm Technologies and IBM said they are "combining on-device inferencing, low power, and privacy features with the performance of watsonx to help address security, efficiency, reliability and governance from AI solutions for businesses." Also Read: IBM Releases New AI Models Built for Business Additionally, Qualcomm's Cloud AI Accelerators have been certified for Red Hat OpenShift, enabling large-scale deployment of IBM's AI software suite. "The certification facilitates the deployment at scale of IBM's suite of software applications, including watsonx, using hardware solutions based on Qualcomm Cloud AI," IBM said in a joint statement on February 27. "Deepening our collaboration with Qualcomm Technologies strengthens our ability to bring enterprise-grade generative AI from the cloud to the edge," said Ritika Gunnar, General Manager of Data and AI at IBM. "By optimizing IBM's watsonx.governance and Granite models for use with Snapdragon and Qualcomm Dragonwing platforms, we're helping businesses capitalize on the transformative power of AI no matter where the data resides. It's a great example of the power of partnership."
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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 cost and energy consumption through this initiative. The core of the collaboration involves integrating IBM's watsonx.governance with Qualcomm Technologies' platforms and enabling support for IBM's Granite models via the Qualcomm AI Inference Suite and Qualcomm AI Hub. Building on a previous announcement at CES, the companies are working 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, utilizing the Qualcomm AI Inference Suite. These integrations are designed to provide end-to-end generative AI solutions at the edge, incorporating governance features for model deployment, operation monitoring, and decision-making. The collaboration seeks to combine on-device inferencing, low power consumption, and privacy features with the performance of IBM's watsonx platform. This integration is intended to address security, efficiency, reliability, and governance concerns for businesses utilizing AI solutions. Qualcomm Technologies has optimized IBM's Granite 3.1, IBM's third-generation flagship language model, for the Qualcomm AI Hub. This optimization aims to enable developers and businesses to leverage the capabilities of AI at the edge. The companies plan to extend their collaboration to include governance and responsibility guardrails for on-device models through watsonx.governance capabilities. Further details regarding this implementation are available on Qualcomm's Developer blog. The Qualcomm Cloud AI family of accelerators has been certified for and is now available on Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes. This certification facilitates the scalable deployment of IBM's software applications, including watsonx, on hardware solutions utilizing Qualcomm Cloud AI accelerators. Commenting on this, Durga Malladi, senior vice president and general manager, technology planning and edge solutions, Qualcomm Technologies, Inc. said: At Qualcomm Technologies, we are excited to join forces with IBM to deliver cutting-edge, enterprise-grade generative AI solutions for devices across the edge and cloud. This collaboration enables businesses to deploy AI solutions that are not only fast and personalized but also come with robust governance, monitoring, and decision-making capabilities, with the ability to enhance the overall reliability of AI from edge to cloud. Ritika Gunnar, general manager, data and AI, IBM, said:
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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 enterprise space. The two companies are integrating IBM's AI tools with Qualcomm's hardware to create enterprise-grade AI solutions. The goal is to help businesses manage AI responsibly while improving speed, privacy, and reliability. This includes using IBM's Granite AI models. These models are designed to generate and process information and will now be available through Qualcomm's AI platforms. This should make AI-powered applications run smoothly, even on smaller devices. Also, Qualcomm has announced that its Cloud AI hardware is now certified for Red Hat OpenShift, a cloud platform used by businesses to manage applications. This means businesses can deploy AI at scale more easily without being tied to a single provider. This partnership makes AI more accessible and practical for companies, whether they need AI to process data on powerful cloud servers or on smaller devices like smartphones, tablets, or laptops. Ultimately, if you're running a business, this could mean lower costs, improved security, and more efficient AI-powered applications that can run across different devices.
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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 1.
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 2.
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 1.
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 2.
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 3.
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 3.
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 1. 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 location 1.
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