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Home/News

News & Analysis

Editorial coverage, in-depth analysis, and developer guides — 33 articles.

Source lens: Official RSS for trust-aware newsroom browsing, export, and Atom subscriptions.

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  • NewsNewsNVIDIA

    Autonomous AI at Scale: Adobe Agents Unlock Breakthrough Creative Intelligence With NVIDIA and WPP

    AI agents are transforming how work gets done across all industries, accelerating everything from content creation to decision-making. NVIDIA’s expanded strategic collaborations with Adobe and WPP are bringing agentic AI to the center of enterprise marketing operations across creative production and customer experience orchestration. As demand for personalized customer experiences surges, brands require intelligent systems […]

    NVIDIAOfficial RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 20, 2026Richard Kerris
    More NVIDIA coverage →
  • NewsNewsAmazon (AWS)

Tags

#AI#AWS Cost Explorer#AWS Cost and Usage Report#AWS Trainium#Advanced (300)#Agentic AI#Amazon Bedrock#Amazon Elastic Kubernetes Service#Amazon Machine Learning#Amazon Nova#Amazon SageMaker
← PreviousPage 2 of 3Next →

Introducing granular cost attribution for Amazon Bedrock

In this post, we share how Amazon Bedrock's granular cost attribution works and walk through example cost tracking scenarios.

Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
Apr 18, 2026Ba'Carri Johnson
More Amazon (AWS) coverage →
  • NewsNewsAmazon (AWS)

    Optimize video semantic search intent with Amazon Nova Model Distillation on Amazon Bedrock

    In this post, we show you how to use Model Distillation, a model customization technique on Amazon Bedrock, to transfer routing intelligence from a large teacher model (Amazon Nova Premier) into a much smaller student model (Amazon Nova Micro). This approach cuts inference cost by over 95% and reduces latency by 50% while maintaining the nuanced routing quality that the task demands.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 17, 2026Amit Kalawat
    More Amazon (AWS) coverage →
  • NewsNewsAmazon (AWS)

    Power video semantic search with Amazon Nova Multimodal Embeddings

    In this post, we show you how to build a video semantic search solution on Amazon Bedrock using Nova Multimodal Embeddings that intelligently understands user intent and retrieves accurate video results across all signal types simultaneously. We also share a reference implementation you can deploy and explore with your own content.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 17, 2026Amit Kalawat
    More Amazon (AWS) coverage →
  • NewsNewsAmazon (AWS)

    Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities

    This hands-on guide walks through every step of fine-tuning an Amazon Nova model with the Amazon Nova Forge SDK, from data preparation to training with data mixing to evaluation, giving you a repeatable playbook you can adapt to your own use case. This is the second part in our Nova Forge SDK series, building on the SDK introduction and first part, which covered kicking off customization experiments.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 17, 2026Gideon Teo
    More Amazon (AWS) coverage →
  • NewsNewsAmazon (AWS)

    From hours to minutes: How Agentic AI gave marketers time back for what matters

    In this post, we share how AWS Marketing’s Technology, AI, and Analytics (TAA) team worked with Gradial to build an agentic AI solution on Amazon Bedrock for accelerating content publishing workflows.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 17, 2026Ishara Premadasa
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  • NewsNewsAmazon (AWS)

    Cost-efficient custom text-to-SQL using Amazon Nova Micro and Amazon Bedrock on-demand inference

    In this post, we demonstrate two approaches to fine-tune Amazon Nova Micro for custom SQL dialect generation to deliver both cost efficiency and production ready performance.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 16, 2026Zeek Granston
    More Amazon (AWS) coverage →
  • NewsNewsAmazon (AWS)

    How Automated Reasoning checks in Amazon Bedrock transform generative AI compliance

    In this post, you'll learn why probabilistic AI validation falls short in regulated industries and how Automated Reasoning checks use formal verification to deliver mathematically proven results. You'll also see how customers across six industries use this technology to produce formally verified, auditable AI outputs, and how to get started.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 16, 2026Nafi Diallo
    More Amazon (AWS) coverage →
  • NewsNewsAmazon (AWS)

    Accelerating decode-heavy LLM inference with speculative decoding on AWS Trainium and vLLM

    In this post, you will learn how speculative decoding works and why it helps reduce cost per generated token on AWS Trainium2.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 15, 2026Yahav Biran
    More Amazon (AWS) coverage →
  • NewsNewsNVIDIA

    New Adobe Premiere Color Grading Mode Accelerated on NVIDIA GPUs

    The NAB Show 2026 trade show, running April 18-22 in Las Vegas, is set to showcase a wave of new features and optimizations for top video editing applications. Bringing together over 60,000 content professionals from across the broadcast and media and entertainment industries, the event highlights how video editors, livestreamers and professional creators are exploring […]

    NVIDIAOfficial RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 15, 2026Joel Pennington
    More NVIDIA coverage →
  • NewsNewsAmazon (AWS)

    Use-case based deployments on SageMaker JumpStart

    We're excited to announce the launch of Amazon SageMaker JumpStart optimized deployments. SageMaker JumpStart improved deployments address the need for rich and straightforward deployment customization on SageMaker JumpStart by offering pre-defined deployment configurations, designed for specific use cases. Customers maintain the same level of visibility into the details of their proposed deployments, but now deployments are optimized for their specific use case and performance constraint.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 14, 2026Dan Ferguson
    More Amazon (AWS) coverage →
  • NewsNewsAmazon (AWS)

    Best practices to run inference on Amazon SageMaker HyperPod

    This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic scaling, simplified deployment, and intelligent resource management. By the end of this post, you’ll understand how to use the HyperPod automated infrastructure, cost optimization features, and performance enhancements to reduce your total cost of ownership by up to 40% while accelerating your generative AI deployments from concept to production.

    Amazon (AWS)Official RSSOriginal article ↗Feed source ↗Trust notes →
    Apr 14, 2026Vinay Arora
    More Amazon (AWS) coverage →
  • #Amazon SageMaker AI
    #Amazon SageMaker HyperPod
    #Amazon SageMaker JumpStart
    #Announcements
    #Art
    #Artificial Intelligence
    #Best Practices
    #Compute
    #Expert (400)
    #GeForce
    #Generative AI
    #Media and Entertainment
    #Pro Graphics
    #Responsible AI