Unlocking the potential of edge AI: Innovations and best practices (IOT101)
Qualcomm's Edge AI Solutions and Developer Journey
Key Takeaways
Qualcomm is a leading provider of heterogeneous computing platforms for edge AI processing in various industries, including IoT, Automotive, and Mobile.
Edge AI is transforming how AI is processed, moving from the cloud to the edge, enabling real-time decision-making, reduced latency, improved energy efficiency, and enhanced data privacy and security.
Qualcomm's Automotive and IoT use cases demonstrate the company's expertise in enabling advanced on-device AI capabilities for various applications.
Qualcomm has developed the Qualcomm AI Hub, a platform that simplifies the developer journey for creating and deploying edge AI solutions on Qualcomm's Snapdragon devices.
Qualcomm's Expertise in Edge AI
Qualcomm is a leader in performance-per-watt heterogeneous computing platforms for edge AI processing.
Qualcomm's edge AI solutions are deployed in various devices, including mobile phones, IoT devices, and Automotive platforms.
Qualcomm's edge AI capabilities enable advanced use cases in industries like IoT, Automotive, and XR/VR.
Developer Journey with Qualcomm AI Hub
Qualcomm AI Hub is a platform that simplifies the process for developers to fine-tune and deploy edge AI models on Qualcomm's Snapdragon devices.
Developers can bring their own models or choose from the available models, select the target platform, and test and validate the performance on specific devices.
The platform allows for seamless integration with the developer's CI/CD pipeline, enabling automated deployment of optimized models.
Qualcomm's partnership with AWS Sagemaker further enhances the developer experience, allowing for a seamless transition from cloud-based model development to on-device deployment.
Advanced Use Case: Contextual Awareness in Automotive
Emerging advanced driving systems require increasing contextual awareness, both from the external environment and the internal driving conditions.
Developers can leverage Qualcomm's tools to fine-tune and deploy models that consider various contextual factors, such as weather conditions, driver behavior, and passenger presence.
The developer journey involves a data-driven pipeline, including shadow mode testing, data collection, model training, and on-device optimization using Qualcomm AI Hub.
Conclusion
Qualcomm's edge AI solutions and the Qualcomm AI Hub platform provide comprehensive tools and frameworks to enable developers across various industries to create and deploy advanced edge AI applications.
Qualcomm's expertise in heterogeneous computing and industry-specific developer tools make it a leading provider of edge AI solutions.
Developers are encouraged to visit Qualcomm's booth (137) to learn more and explore the Qualcomm AI Hub platform.
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