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They discussed the fundamental importance of data as code, integrating machine learning within cloud systems, the rise of serverless adoption, and how customers must deal with massive amounts of data.
“Machine learning is experiencing a renaissance in the cloud,” Wood said. “Customers from virtually every industry – tens of thousands of app developers – are using machine learning today across ...
As for SageMaker Serverless Inference, which is now also generally available, Sivasubramanian noted that the service gives businesses a pay-as-you-go service for deploying their machine learning ...
SageMaker Serverless Inference will 100% help you accelerate your machine learning journey and enables you to build fast and cost-effective proofs-of-concept where cold starts or scalability is ...
AWS’ innovation and new products in 2025 include quantum chip, AWS Outposts, agentic AI, Amazon Bedrock, Aurora DSQL, Nova ...
Yesterday, AWS announced a new machine learning service called Amazon SageMaker Canvas. The new service will allow users to build machine learning prediction models, using a point-and-click interface.
AWS also rolled out a preview of SageMaker Serverless Inference, a new inference option that lets users deploy ML models for inference without having to configure or manage the underlying ...
More than 20 announcements flowed at AWS re:Invent today, including updates on machine learning, databases and the Internet of Things (IoT) – not to mention a couple of big-name customer wins. The ...
AWS Lambda celebrated its tenth anniversary in November 2024, marking a decade of transforming cloud computing through serverless architecture. By eliminating the need for infrastructure ...
The company launched the original, server-based version of its vector database back in 2021, saying that it was aimed at artificial intelligence and machine learning applications.
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