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AWS re:Invent Recap: Amazon SageMaker Edge Manager

What happened? Amazon SageMaker Edge Manager was announced during the re:Invent Machine Learning Keynote. This new feature gives developers model management tools for to optimize, secure, monitor, and maintain machine learning models on fleets of edge devices such as smart cameras, robots, personal computers, and mobile devices. Why is it important? Device Compatibility: It enables […]

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AWS re:Invent Recap: Amazon SageMaker Debugger

What happened? Amazon SageMaker Debugger, a tool that monitors machine learning training performance to help developers train models faster, was announced during the re:Invent 2020 Machine Learning keynote. This tracks the system resource utilization and creates alerts for problems during training. With these new capabilities, automatic recommendations for resource allocation for training jobs, resulting in […]

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AWS re:Invent Recap: Amazon SageMaker Clarify

What happened? AWS released Amazon SageMaker Clarify, a new tool for mitigating bias in machine learning model that helps customers more accurately and rapidly detect bias to build better solutions. This provides critical data and insights that increase transparency to help support analysis and explanation of model behavior to stakeholders and customers. Why is it […]

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AWS re:Invent Recap: Machine Learning Keynote

Here are the key announcements from the re:Invent 2020 Machine Learning Keynote: Faster Distributed Training on Amazon SageMaker is the quickest and most efficient approach for training large deep learning models and datasets. Through model parallelism and data parallelism, SageMaker distributed training automatically splits deep learning models and datasets for training in significantly less time […]

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AWS 2020 re:Invent Recap: AWS Trainium

What Happened:  The newest AWS custom-designed chip, AWS Trainium, was announced during Andy Jassy’s 2020 re:Invent keynote, with the projected best price performance for training Machine Learning (ML) models in the cloud. Meant for deep learning training workloads for applications, it includes capabilities of image classification, semantic search, translation, voice recognition, NLP (Natural Language Processing), […]

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AWS re:Invent Recap: Amazon SageMaker Pipelines

What happened? The new service, Amazon SageMaker Pipelines, has been launched to provide continuous integration and delivery pipelines that automate steps of ML (Machine Learning) workflows. It’s the first CI/CD service for ML to build, store, and track automated workflows and also create an audit trail for training data and modeling configurations. Why is it […]

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AWS re:Invent Recap: Habana Gaudi Based EC2 System

What Happened:  With machine learning workloads growing rapidly and faster machines needed for training models in the cloud, Andy Jassy announced Habana Gaudi-based Amazon EC2 Instances will be available in the first half of 2021. Powered by new Habana Gaudi pre-processors from Intel, users can expect a 40% better price/performance over the current GPU based […]

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AWS re:Invent Recap: SageMaker Data Wrangler

What happened? The new service, SageMaker Data Wrangler, was announced during Andy Jessy’s 2020 re:Invent Keynote. Incorporated into AWS SageMaker, this tool simplifies the data preparation workflow so the entire process can be done from one central interface. Why is it important? SageMaker Data Wrangler contains over 300 built-in data transformations to normalize, transform, and […]

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