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LAS VEGAS -- Ambarella, Inc. (Nasdaq: AMBA), an artificial intelligence (AI) vision silicon company, today announced that Ambarella and Amazon Web Services, Inc. (AWS) customers can now use Amazon SageMaker Neo to train machine learning (ML) models once and run them on any device equipped with an Ambarella CVflow -powered AI vision system on chip (SoC). Until now, developers had to manually optimize ML models for devices based on Ambarella AI vision SoCs. This step could add considerable delays and errors to the application development process. Ambarella and AWS collaborated to simplify the process by integrating the Ambarella toolchain with the Amazon SageMaker Neo cloud service. Now, developers can simply bring their trained models to Amazon SageMaker Neo and automatically optimize the model for Ambarella CVflow-powered SoCs.

Artificial intelligence vision silicon company Ambarella is partnering with Amazon Web Services to allow AWS customers to use the tech giant's services to train machine learning models and run them on devices equipped with Ambarella's CVflow AI vision chip. According to Ambarella, developers previously had to manually optimize machine learning models for devices based on the company's AI vision system on chip (SOC), a step that could add delays and errors to the app development process. In an announcement, the companies said they collaborated to simplify the process by integrating the Ambarella toolchain with the Amazon SageMaker Neo cloud service. Now, developers can bring trained models to Amazon SageMaker Neo and automatically optimize the model for Ambarella's CVflow-powered SoCs, the companies said. Using MXNet, TensorFlow, PyTorch or XGBoost, customers can train the model using Amazon SageMaker in the cloud or their local machine.

LAS VEGAS--(BUSINESS WIRE)--Ambarella, Inc. (Nasdaq: AMBA), an artificial intelligence (AI) vision silicon company, today announced that Ambarella and Amazon Web Services, Inc. (AWS) customers can now use Amazon SageMaker Neo to train machine learning (ML) models once and run them on any device equipped with an Ambarella CVflow -powered AI vision system on chip (SoC). Until now, developers had to manually optimize ML models for devices based on Ambarella AI vision SoCs. This step could add considerable delays and errors to the application development process. Ambarella and AWS collaborated to simplify the process by integrating the Ambarella toolchain with the Amazon SageMaker Neo cloud service. Now, developers can simply bring their trained models to Amazon SageMaker Neo and automatically optimize the model for Ambarella CVflow-powered SoCs.