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Accelerating AI model production at Hexagon with Amazon SageMaker HyperPod | Amazon Web Services

Accelerating AI model production at Hexagon with Amazon SageMaker HyperPod | Amazon Web Services

This blog post was co-authored with Johannes Maunz, Tobias Bösch Borgards, Aleksander Cisłak, and Bartłomiej Gralewicz from Hexagon.

Hexagon is the global leader in measurement technologies and provides the confidence that vital industries rely on to build, navigate, and innovate. From microns to Mars, Hexagon’s solutions drive productivity, quality, safety, and sustainability across aerospace, agriculture, automotive, construction, manufacturing, and mining.

Applications in these industries often rely on capturing the reality by recording vast amounts of highly accurate point cloud data with Hexagon measurement technology. A point cloud is a collection of data points in 3D space, typically representing the external surface of an object or a scene. Point clouds are commonly used in applications like 3D modeling, computer vision, robotics, autonomous vehicles, and geospatial analysis.

Hexagon provides specialized AI models to its customers to…

https://aws.amazon.com/blogs/machine-learning/accelerating-ai-model-production-at-hexagon-with-amazon-sagemaker-hyperpod/

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