Code example or demo
AMZN-3P-EDGE-AI
Overview
AWS offers a comprehensive platform for machine learning (ML) services and internet of things (IoT) software services which can be leveraged and deployed on TI’s analytics processors like the TDA4x family of processors. Training and optimizing ML models require massive computing resources, so it is a natural fit for the cloud.
AWS SageMaker is a suite of services and tools providing every developer and data scientist with the ability to prepare and label data sets, build models, train, optimize, deploy and, monitor\maintain machine-learning models at scale.
Amazon SageMaker Neo service optimizes machine-learning models already built with Keras, MXNet, PyTorch, TensorFlow, TensorFlow-Lite, and ONNX for inference on TI Jacinto processor. SageMaker Neo optimizes the trained model and compiles it into an executable that takes advantage of TI deep learning hardware accelerator. Sagemaker Neo enables TVM and Neo-AI DLR as the top-level inference API for user applications.
AWS IoT Greengrass is an IoT open source edge runtime and cloud service that provides a secure way to seamlessly connect TI Jacinto powered devices to any AWS service as well as to third-party services. Greengrass enables inference results and data to be sent back to AWS where data can be stored or further analyzed.
Amazon SageMaker Edge Manager facilitates easy management and performance monitoring of ML models on a fleet of TI Jacinto powered edge devices.
Downloads
Code example or demo
AMAZON-AWS-GREENGRASS — Amazon Internet of things (IoT) open source edge runtime and cloud services
Code example or demo
AMAZON-AWS-SAGEMAKER-NEO — Amazon SageMaker Neo for machine learning
Code example or demo
AMAZON-AWS-SAGEMAKER — Amazon SageMaker tools for machine learning development
Code example or demo
AMAZON-AWS-SAGEMAKER-EDGE-MANAGER — Amazon software agent for edge devices
Supported products & hardware
Arm-based processors
Support & training
TI does not offer ongoing direct design support for this software. For support while working through your design, contact Amazon.
Training series
View all TI training and videosVideos
Disclaimer
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