aws reinvent 2024

Amazon CTO Werner Vogels on fighting misinformation, tech addiction, and small nuclear reactors

In what has become a bit of an annual tradition, I sat down with Amazon CTO Werner Vogels at AWS re:Invent this week. Another annual tradition now is that Vogels, who joined Amazon in 2004, publishes a series of predictions for the next year. It’d be easy to think that this year’s predictions are all […]

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AWS pledges $100M in cloud credits to help education organizations build learning tools

AWS, Amazon’s cloud computing unit, today announced the Education Equity Initiative, which aims to provide “education organizations with technologies to build digital learning innovations for underrepresented communities.” AWS is committing $100 million in cloud credits to this effort over the next five years. Tom Berry, who leads the education work within AWS’s Social Impact and

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AWS brings prompt routing and caching to its Bedrock LLM service

As businesses move from trying out generative AI in limited prototypes to putting them into production, they are becoming increasingly price conscious. Using large language models isn’t cheap, after all. One way to reduce cost is to go back to an old concept: caching. Another is to route simpler queries to smaller, more cost-efficient models.

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AWS makes its SageMaker HyperPod AI platform more efficient for training LLMs

At last year’s AWS re:Invent conference, Amazon’s cloud computing unit launched SageMaker HyperPod, a platform for building foundation models. It’s no surprise, then, that at this year’s re:Invent, the company is announcing a number of updates to the platform, with a focus on making model training and fine-tuning on HyperPod more efficient and cost-effective for

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AWS brings third-party apps to its SageMaker AI platform

SageMaker has long been AWS’s fully managed platform for building, training and deploying machine learning and generative AI models. Over time, however, an ecosystem of applications has sprung up around AI and ML models for performing tasks like managing experiments, evaluating model quality and security. Those always lived outside of SageMaker and had to be

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Amazon SageMaker gets unified data controls

It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. 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 Studio, a

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AWS wants Amazon Q to become your buddy for the entire software development lifecycle

At its re:Invent conference, AWS today announced a series of updates to Q Developer, its coding assistant platform that competes with the likes of GitHub Copilot. The focus here is on going beyond code completion and to help developers with a wider range of routine tasks involved in the end-to-end software lifecycle. The service, which

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AWS and GitLab team up to bring Amazon Q agents to GitLab’s Duo Assistant

GitLab, the popular developer and security platform, and AWS, the popular cloud computing and AI service, today announced that they have teamed up to combine GitLab’s Duo AI assistant with Amazon’s Q autonomous agents. The goal here, the two companies say, is to accelerate software innovation and developer productivity, and unlike so many partnerships in

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Amazon announces Nova, a new family of multimodal AI models

At its re:Invent conference on Tuesday, Amazon Web Services (AWS), Amazon’s cloud computing division, announced a new family of generative AI, multimodal models called Nova. There’s four text-generating models in total: Micro, Lite, Pro, and Premier. Micro, Lite, and Pro are available today for AWS customers, while Premier will arrive in early 2025, Amazon CEO

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