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How Baseten achieves 225% better cost-performance for AI inference (and you can too)

Baseten is one of a growing number of AI infrastructure providers, helping other startups run their models and experiments at speed and scale. Given the importance of those two factors to its customers, Baseten has just passed a significant milestone.  By leveraging the latest Google Cloud A4 virtual machines (VMs) based on NVIDIA Blackwell, and …

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Authenticate Amazon Q Business data accessors using a trusted token issuer

Since its general availability in 2024, Amazon Q Business (Amazon Q) has enabled independent software vendors (ISVs) to enhance their Software as a Service (SaaS) solutions through secure access to customers’ enterprise data by becoming Amazon Q Business data accessor. To find out more on data accessor, see this page. The data accessor now supports …

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From query to cart: Inside Target’s search bar overhaul with AlloyDB AI

Editor’s note: Target set out to modernize its digital search experience to better match guest expectations and support more intuitive discovery across millions of products. To meet that challenge, they rebuilt their platform with hybrid search powered by filtered vector queries and AlloyDB AI. The result: a faster, smarter, more resilient search experience that’s already …

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Train and deploy models on Amazon SageMaker HyperPod using the new HyperPod CLI and SDK

Training and deploying large AI models requires advanced distributed computing capabilities, but managing these distributed systems shouldn’t be complex for data scientists and machine learning (ML) practitioners. The newly released command line interface (CLI) and software development kit (SDK) for Amazon SageMaker HyperPod simplify how you can use the service’s distributed training and inference capabilities. …

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The Agent Development Kit Hackathon with Google Cloud: Announcing the winners and highlights

The Agent Development Kit (ADK) Hackathon is officially wrapped. The hackathon wrapped up with over 10,400 participants from 62 countries, resulting in 477 submitted projects and over 1,500 agents built! Building on the excitement from our initial announcement, the hackathon proved to be an invaluable opportunity for developers to experiment with cutting-edge technologies and build …

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Detect Amazon Bedrock misconfigurations with Datadog Cloud Security

This post was co-written with Nick Frichette and Vijay George from Datadog.  As organizations increasingly adopt Amazon Bedrock for generative AI applications, protecting against misconfigurations that could lead to data leaks or unauthorized model access becomes critical. The AWS Generative AI Adoption Index, which surveyed 3,739 senior IT decision-makers across nine countries, revealed that 45% …

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Meet Boti: The AI assistant transforming how the citizens of Buenos Aires access government information with Amazon Bedrock

This post is co-written with Julieta Rappan, Macarena Blasi, and María Candela Blanco from the Government of the City of Buenos Aires. The Government of the City of Buenos Aires continuously works to improve citizen services. In February 2019, it introduced an AI assistant named Boti available through WhatsApp, the most widely used messaging service …

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Mercury foundation models from Inception Labs are now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

Today, we are excited to announce that Mercury and Mercury Coder foundation models (FMs) from Inception Labs are available through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, you can deploy the Mercury FMs to build, experiment, and responsibly scale your generative AI applications on AWS. In this post, we demonstrate how to …

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Learn how Amazon Health Services improved discovery in Amazon search using AWS ML and gen AI

Healthcare discovery on ecommerce domains presents unique challenges that traditional product search wasn’t designed to handle. Unlike searching for books or electronics, healthcare queries involve complex relationships between symptoms, conditions, treatments, and services, requiring sophisticated understanding of medical terminology and customer intent. This challenge became particularly relevant for Amazon as we expanded beyond traditional ecommerce …