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With a wide array of Nova customization offerings, the journey to customization and transitioning between platforms has traditionally been intricate, necessitating technical expertise, infrastructure setup, and considerable time investment. This disconnect between potential and practical applications is precisely what we aimed to address. Nova Forge SDK makes large language model (LLM) customization accessible, empowering teams …

Kick off Nova customization experiments using Nova Forge SDK Read More »

Large language models (LLMs) have transformed how we interact with AI, but one size doesn’t fit at all. Out-of-the-box LLMs are trained with broad, general knowledge and improved for a wide range of use cases, but they often fall short when it comes to domain-specific tasks, proprietary workflows, or unique business requirements. Enterprise customers increasingly …

Introducing Nova Forge SDK, a seamless way to customize Nova models for enterprise AI Read More »

Moving AI agents from prototypes to production surfaces a challenge that traditional testing is unable to address. Agents are flexible, adaptive, and context-aware by design, but the same qualities that make them powerful also make them difficult to evaluate systematically. Traditional software testing relies on deterministic outputs: same input, same expected output, every time. AI …

Evaluating AI agents for production: A practical guide to Strands Evals Read More »

Organizations commonly rely on A/B testing to optimize user experience, messaging, and conversion flows. However, traditional A/B testing assigns users randomly and requires weeks of traffic to reach statistical significance. While effective, this process can be slow and might not fully leverage early signals in user behavior. This post shows you how to build an …

Build an AI-Powered A/B testing engine using Amazon Bedrock Read More »

This post is cowritten with Hammad Mian and Joonas Kukkonen  from Bark.com. When scaling video content creation, many companies face the challenge of maintaining quality while reducing production time. This post demonstrates how Bark.com and AWS collaborated to solve this problem, showing you a replicable approach for AI-powered content generation. Bark.com used Amazon SageMaker and …

How Bark.com and AWS collaborated to build a scalable video generation solution Read More »

If you’re running Amazon Nova 1 models on Amazon Bedrock, you might be looking to expand your context window size, deepen reasoning capabilities, or integrate external tools for web search and code execution. Amazon Nova 2 models address these constraints while improving performance on reasoning, agentic AI, and tool use benchmarks. Amazon Nova 2 Lite …

Migrate from Amazon Nova 1 to Amazon Nova 2 on Amazon Bedrock Read More »

Google is making new investments, building new tools and developing code security to improve open source security. ​ 

We’re expanding Personal Intelligence across AI Mode in Search, the Gemini app and Gemini in Chrome. ​ 

This post is co-written with Mark Ross from Atos. Organizations pursuing AI transformation can face a familiar challenge: how to upskill their workforce at scale in a way that changes how teams build, deploy, and use AI. Traditional AI training approaches—online courses, certification programs, and classroom-based instruction—are necessary, but often insufficient. While they build foundational …

AWS AI League: Atos fine-tunes approach to AI education Read More »

AI is moving fast, and for most of our customers, the real opportunity isn’t in experimenting with it—it’s in running AI in production where it drives meaningful business outcomes. This means building systems that run reliably, perform at scale, and meet your organization’s security and compliance requirements. Today at NVIDIA GTC 2026, AWS and NVIDIA …

AWS and NVIDIA deepen strategic collaboration to accelerate AI from pilot to production Read More »