AI

Train, optimize, and deploy models on edge devices using Amazon SageMaker and Qualcomm AI Hub | Amazon Web Services

Train, optimize, and deploy models on edge devices using Amazon SageMaker and Qualcomm AI Hub | Amazon Web Services

This post is co-written Rodrigo Amaral, Ashwin Murthy and Meghan Stronach from Qualcomm. In this post, we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub. This seamless cloud-to-edge AI development experience will enable developers to create optimized, highly performant, and custom managed machine learning solutions where you can bring you own model (BYOM) and bring your own data (BYOD) to meet varied business requirements across industries. From real-time analytics and predictive maintenance to personalized customer experiences and autonomous systems, this approach caters to diverse needs. We demonstrate this…
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