Qualcomm Technologies today announced a series of industry-leading AI innovations at CES 2025, demonstrating how it is transforming the user experience across multiple end categories such as PCS, automotive, smart homes and enterprise.
Anmon, president and CEO of Qualcomm, said: "AI is bringing epochal change to the technology field. In 2025, AI processing will continue to migrate to the edge, enabling and enhancing AI-first experiences. As a leader in edge-side AI, Qualcomm is working with a wide range of ecosystem partners to bring AI-first experiences to consumers and businesses across multiple end product categories. "We're excited to show at CES 2025 how end-side AI will be the next UI, revolutionizing experiences across PCS, cars, smart homes and more."
The Snapdragon X series continues to expand and redefine the PC category
Qualcomm Technologies introduces the Snapdragon ®X platform, the fourth platform in its high-performance PC portfolio, the Snapdragon X family, bringing industry-leading performance, multi-day battery life, and AI leadership to the broader Windows ecosystem. In addition, Qualcomm Technologies demonstrated the continued momentum of the Snapdragon X series, with more than 60 PC designs currently in production or in development and more than 100 expected by 2026. For more information, visit here.
The Snapdragon digital chassis continues to gain attention and technical cooperation, demonstrating the potential of AI-enabled vehicles
Qualcomm Technologies continues to expand its collaboration in the automotive sector, working with partners such as Alpine Alpine, Amazon, Mobility, Mahindra, Hyundai Mopis and Royal Enfield to advance AI-enabled in-car experiences and advanced driver assistance systems (ADAS) based on Snapdragon ® digital Chassis ™ solutions. Qualcomm Technologies also announced the continued momentum of its Snapdragon Automotive Platform Premium Edition, highlighting collaborations with Desay CV, Garmin and Panasonic Motors based on the Snapdragon Cockpit Platform Premium Edition. During the show, Qualcomm Technologies showcased its overall approach, demonstrating how AI, multimodal situational awareness and cloud-based services can work together to improve the comfort and safety of vehicle drivers and passengers. Attendees were also able to see for the first time the new Snapdragon Smart Driving platform that integrates the smart driving software stack and system definitions.
Qualcomm Technologies showcases Smart Home 2.0
Qualcomm Technologies showcased new AI chatbots, advanced smart TVS, humanoid robots and other terminals integrated in home appliances. Qualcomm Technologies sees 2025 as the first year of "smart home 2.0", and with the integration of generative AI and edge side products, the smart home industry is about to usher in major development. The company demonstrated terminals with high-performance processors that independently handle complex AI tasks, enhancing user interaction and terminal functionality. For more information, visit here.
Qualcomm Technologies has introduced its latest Qualcomm Aware™ platform
Qualcomm Technologies announced the latest version of its Qualcomm Aware™ platform, a cloud-based service designed to help businesses equip their devices with location, visualization and monitoring capabilities to advance iot solutions that meet the specific needs and challenges of consumers and businesses across industries. Including logistics, retail, energy, smart home, robotics and other fields. For more information, visit here.
Qualcomm Technologies introduces AI on-premises solutions and inference suites for enterprise and industry verticals
Qualcomm Technologies introduces Qualcomm® AI On-Prem Appliance Solution, designed to run generative AI inference and computer vision On dedicated, on-premises hardware. And Qualcomm® AI Inference Suite, a suite of AI inference software and services that covers on-premises solutions and cloud deployments. With this new portfolio of solutions, small and medium-sized companies, enterprises, and industrial organizations can run customized and off-the-shelf AI applications, including generative workloads, on-premises. Running AI inference locally can significantly reduce operating costs and total cost of ownership compared to renting third-party AI infrastructure.
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