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New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions…0 inference for Arm-based processors… As a result, we are delighted to announce that AWS Graviton-based instance inference performance for PyTorch 2…

AWS measured up to 50% cost savings for PyTorch inference with AWS Graviton3-based Amazon Elastic…

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Amazon Inspector is a vulnerability management and application security service that helps improve the security of your workloads… In this blog post, we’ll introduce new features from Amazon Inspector that can help you improve the security posture of your AWS Lambda functions…
At re:Invent 2022, Amazon Inspector announced the ability to perform automated security scans of the application pa…

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This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process…
Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm u…

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Centrally managed Azure Hybrid Benefit for SQL Server is generally available…
Scheduled alerts in Azure Government…
Register for Securely Migrate and Optimize with Azure…
Register for Optimize your IT costs with Azure Monitor…

Centrally managed Azure Hybrid Benefit for SQL Server is generally available

If you’re migrating from on-premises to the cloud, Azure Hybrid Ben…

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A once-in-a-century global health emergency accelerates worldwide healthcare innovation and novel medical breakthroughs, all supported by powerful high-performance computing (HPC) capabilities… To this day, it continues to affect and shape how countries respond to health emergencies…

COVID-19 was the largest global health emergency in over a century, with nearly 762 million cases report…

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One of the most popular models available today is XGBoost… With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models… In this post, we dive deep to see how Amazon SageMaker can serve these models using NVIDIA Triton Inference Server…
SageMaker provides single model endpoints, w…

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You can use models to make predictions interactively and for batch scoring on bulk datasets…
In this post, we showcase architectural patterns on how business teams can use ML models built anywhere by generating predictions in Canvas and achieve effective business outcomes…
This integration of model development and sharing creates a tighter collaboration between business and data science tea…