Analyst(s): Ron Westfall
Publication Date: October 21, 2024
What is Covered in this Article:
- Qualcomm aims to lead the transition to connected intelligent endpoints and empower developers and enterprises to build the next generation of edge AI solutions across industries.
- The Qualcomm IoT Solutions Framework targets supporting enterprises in solving the most pressing business challenges by tailoring platforms that build a blueprint of chipsets, operating systems, software enablers, reference designs, and extensive partner networks.
- Qualcomm’s new family of industrial-grade chipsets are designed for applications with high-performance, power-efficient computing and connectivity across extreme operating environments with built-in safety features.
The News: Qualcomm Technologies, Inc. introduced a new product portfolio for the Internet of Things (IoT), aimed at positioning itself at the forefront of the age of AI by enabling industrial use cases to create groundbreaking edge AI solutions with intelligent computing across various industries.
Qualcomm Ready to Usher in the Age of Industrial Intelligence
Analyst Take: At Embedded World North America, Qualcomm Group General Manager, Automotive, Industrial & Embedded IoT and Cloud Computing Nakul Duggal kicked off and narrated the Welcome to the Age of Industrial Intelligence initiative. He spotlighted the challenges and barriers of traditional industrial architecture including limited automation, inadequate real-time insights as well as fragmented connectivity and channels.
- To overcome such barriers, Qualcomm introduced its Industrial-Grade IQ Series and IoT Solutions Framework to usher in a new epoch of Industrial Intelligence and Innovation. Key new portfolio capabilities include the following:
- Qualcomm unveiled a new suite of industrial IoT solutions designed for the AI era, spearheading the shift to connected intelligent endpoints. This initiative can empower developers and enterprises to create the next generation of edge AI solutions across various industries.
- The Qualcomm IoT Solutions Framework helps enterprises tackle their most challenging business problems by customizing platforms that include a blueprint of chipsets, operating systems, software enablers, reference designs, and a broad partner network.
- Introduced a new series of industrial-grade chipsets engineered for high-performance, energy-efficient computing and connectivity in extreme operating conditions, featuring integrated safety mechanisms.
Qualcomm IoT Solutions Framework: Enabling Partners and Developers to Succeed
The Qualcomm IQ series is engineered to excel in the most demanding industrial settings, catering to applications that require robust performance in extreme conditions. These processors are specifically crafted to withstand wide temperature fluctuations and incorporate advanced safety features, making them ideal for critical industrial operations.
Also, the Qualcomm IoT Solutions Framework integrates the newly introduced IQ series chipsets with AI tools and reference applications. This comprehensive approach can enable the creation of complete end-to-end solutions for IoT applications. By combining these elements, the framework significantly is designed to simplify the development and deployment processes, ultimately enhancing operational efficiency across various industries.
The framework’s design can allow enterprises to use Qualcomm’s portfolio acumen, including the industrial-grade IQ series processors, to build robust IoT solutions. It provides a suite of tools, reference blueprints, and access to a partner ecosystem, empowering businesses to address their specific IoT challenges more effectively. This integrated approach not only accelerates the implementation of IoT projects but also helps optimize overall operational performance in industrial and embedded computing sectors.
Critically, Qualcomm developed the Qualcomm IoT Solutions Framework to provide a complete suite of developer tools, reference blueprints, and a partner ecosystem designed to help overcome the barriers of traditional industrial architectures. As a result, ecosystem partners such as ISVs, developers, enterprises, and industrial OEMs can use the library of microservices offered by Qualcomm as building blocks for a wide array of uses, including enhancing video security, drone services, industrial automation, and worker safety and assistance.
In my perspective, Qualcomm introduced a variety of important features that can bolster the application developer experience. This consists of support for Docker containers, such as hardware acceleration for NPUs, GPUs, displays, and VPUs in non-privileged mode, aimed at strengthening security. Qualcomm’s microservices architecture can improve scalability, flexibility, and maintainability by breaking applications into smaller, independent services. Also, Qualcomm added Python bindings to allow developers to harness C++ performance with Python’s intrinsic simplicity.
The addition of daisy chain support now allows multiple AI models to be linked in the same pipeline, increasing AI use cases. Qualcomm also added Message Queuing Telemetry Transport (MQTT) support that can provide for more efficient bandwidth usage, low power consumption, and reliable communication. Adroitly, Qualcomm added E2E integration, model optimization, and fine-tuning, which are now integrated with Qualcomm AI Hub. Lastly, the deployment process is streamlined with container infrastructure and Foundries.io integration.
Looking Forward
In my point of view, the Qualcomm IoT Solutions Framework can assist enterprises in creating solutions that facilitate the straightforward development of end-to-end applications, shorten implementation times, and enhance operational efficiencies. These comprehensive vertical solutions include developer tools, reference blueprints, and a robust partner ecosystem that provides an industrial chassis for ecosystem-wide digital transformation.
Qualcomm’s Industrial Intelligence debut follows on its alliance with STMicroelectronics that combines the STM32 microcontroller (MCU) ecosystem and Qualcomm wireless connectivity solutions to enable streamlined, cost-effective design of next-generation industrial and consumer IoT applications underpinned by edge AI. Specifically, the alliance integrates Qualcomm’s AI-driven wireless technologies, debuting with its Wi-Fi/Bluetooth/thread combo system-on-a-chip, across the MCU ecosystem.
I anticipate that the ST alliance will serve as a prime example of how Qualcomm’s IoT framework can accelerate feature-rich capabilities across the IoT landscape. The pair are setting the foundation that drives new developer experiences for IoT applications, supporting agile integration and optimal performance for developers and end-users alike.
Overall, I believe the Qualcomm IoT Solutions Framework demonstrates Qualcomm’s strategic commitment to becoming the trusted advisor throughout the IoT ecosystem by ensuring that partners can develop solutions best aligned to meeting the distinct demands of customers and users. The new framework puts Qualcomm in a strategic position to streamline the development, deployment, and scaling of industrial IoT technologies from the edge to cloud.
What to Watch:
- Qualcomm advances its strategic objective of becoming the trusted advisor and implementer across an ecosystem of IoT industry partners, systems integrators, and customers to help assure the entire industrial IoT ecosystem flourishes.
- Enterprises can use the Qualcomm IoT Solutions’ developer-friendly framework to create customized solutions for a variety of use cases, such as video security, drone services, industrial automation and inspection, and worker assistance with GenAI.
- The Qualcomm IQ series will prove integral at accelerating the implementation of edge AI into connected endpoints across industries.
See the complete Qualcomm IoT Solutions Framework announcement on the Qualcomm website.
Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.
Other Insights from The Futurum Group:
Qualcomm, Nokia and Vodafone: AI’s Impact on 5G Security- The 5G Factor
T-Mobile, AT&T and Verizon Vital to Hurricane First Responders – Six Five Webcast: The 5G Factor
Author Information
Ron is an experienced, customer-focused research expert and analyst, with over 20 years of experience in the digital and IT transformation markets, working with businesses to drive consistent revenue and sales growth.
He is a recognized authority at tracking the evolution of and identifying the key disruptive trends within the service enablement ecosystem, including a wide range of topics across software and services, infrastructure, 5G communications, Internet of Things (IoT), Artificial Intelligence (AI), analytics, security, cloud computing, revenue management, and regulatory issues.
Prior to his work with The Futurum Group, Ron worked with GlobalData Technology creating syndicated and custom research across a wide variety of technical fields. His work with Current Analysis focused on the broadband and service provider infrastructure markets.
Ron holds a Master of Arts in Public Policy from University of Nevada — Las Vegas and a Bachelor of Arts in political science/government from William and Mary.