Customers can create and update a serverless inference endpoint using the SageMaker console, the AWS SDKs, the SageMaker Python SDK, the AWS CLI, or AWS CloudFormation.

Within a Jupyter notebook, you can call the high-level Python library provided by Amazon SageMaker or the more basic AWS SDK for Python (Boto), in addition to common Python libraries such as NumPy.

With Amazon SageMaker Autopilot, AWS has taken the first step in making AutoML solution transparent and explainable. ... (CLI) or an open source Python SDK, in addition to Amazon SageMaker Studio.

Check out this link for more information on the SageMaker Studio enhancements. Training of deep learning models on GPUs will get faster with the new Amazon SageMaker Training Compiler. This capability ...

Today’s launch lets SageMaker Training Compiler automatically compile your Python training code and generate GPU kernels specifically for your model,” Tracey explained. AWS is also making it ...

While in previous years AWS has focused on greatly expanding SageMaker’s capabilities, this year, streamlining was the goal. At its re:Invent 2024 conference, AWS unveiled SageMaker Unified ...

AWS has also added a new tool to SageMaker called Amazon SageMaker Model Cards to help data science teams ... How to deploy AI agents with the Google Agent Development Kit for Python. Jun 10, 2025 ...

AWS today announced a new machine learning service, Amazon SageMaker Canvas. Unlike its existing machine learning services, the target audience here isn’t highly technical data scientists and ...

Amazon Web Services on Wednesday unveiled SageMaker Studio Lab, a free version of Amazon SageMaker -- the AWS service that helps customers build, train and deploy machine learning models. Designed ...

AWS hopes that its new offering, Amazon SageMaker Data Wrangler, is that better way. According to Jassy, the new offering uses machine learning to recognize the type of data that a user has, and ...