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AWS turned on AI traffic monetization inside AWS WAF on Monday, letting any site behind Amazon CloudFront charge AI agents per request in USDC through Coinbase's x402 protocol. It is the first time a hyperscale cloud has wired onchain settlement into its content-delivery edge.
For many developers, the hard part of building an AI application isn’t the model anymore. It’s keeping the application’s knowledge current. Retrieval-augmented generation (RAG) has become a popular technique for grounding AI applications in enterprise data, but it also introduces a steady stream of operational work, including tasks such as updating embeddings and indexes, synchronizing data sources, and tuning retrieval performance. AWS is seeking to remove much of that burden with Bedrock Managed Knowledge Base, a new managed service that automates the retrieval layer behind enterprise AI applications. “By default, the service automatically selects and manages a default embeddings model, re-ranker model, and foundational model on your behalf, so you can get up to speed quickly without needing to pick or maintain one yourself,” Daniel Abib, senior solutions architect at AWS, wrote in a blog post. In order to help maintain data pipelines without building and managing custom integrations
It is tempting to date cloud computing from the launch of Amazon S3 in 2006 and the rise of infrastructure as a service (IaaS) that followed. That was certainly the moment the market changed in a visible, irreversible way. But the truth is that cloud began earlier, in the 1990s, when software as a service (SaaS), application hosting, managed services providers, and various forms of remote subscription computing started to reshape how enterprises thought about owning and operating technology. Even then, the core value proposition was familiar: Let someone else run the infrastructure, abstract the complexity, deliver capability as a service, and allow the business to consume only what it needs. What AWS changed was the scale, accessibility, and precision of the execution. Amazon turned infrastructure into a programmable utility. It made compute and storage available in ways that were elastic, self-service, API-driven, and globally reachable. That was the breakthrough. Enterprises had out
Expanded collaboration enables customers to adopt and scale agentic AI as they modernize and run mission‑critical workloads on AWS NEW YORK, June 18, 2026 — Kyndryl, a leading provider of […] The post Kyndryl and AWS Expand Partnership to Accelerate Enterprise Agentic AI Adoption appeared first on AIwire.
AWS is in talks to sell its chips to other data centers. CEO Andy Jassy has said this represents a $50 billion opportunity for the company.
The EU probe could reshape cloud market dynamics, potentially enhancing competition and impacting AWS and Azure's strategic operations. The post Microsoft, Amazon Web Services face EU probe over cloud dominance appeared first on Crypto Briefing.
After helping turn cloud computing into essential infrastructure, Sivasubramanian is now leading AWS’s push to make agentic AI easier for companies to deploy at scale.
June 17, 2026 — Amazon Bedrock Managed Knowledge Base, a fully managed retrieval-augmented generation (RAG) service, is now generally available. With Managed Knowledge Base, developers can build production-ready AI agents grounded […] The post AWS Launches Amazon Bedrock Managed Knowledge Base for Enterprise RAG Applications appeared first on AIwire.
With its latest AI tools and products, the vendor showed it is listening to its customer base even while it fails to offer novelty in the market.
A recap of the top announcements from AWS's New York Summit 2026
The company’s latest agentic AI tools promise faster enterprise automation, but the more revealing story is the infrastructure AWS is building to monitor and contain them.
The problem with software development today may no longer be writing code. With AI coding assistants generating code faster than ever, the bigger challenge is reviewing, testing, and safely releasing it. AWS is betting that software teams need help with that part of the process, adding release management features to its DevOps Agent. The new features, currently in preview, automatically assess code changes against organizational standards, identify potential release risks, and generate tests tailored to individual changes before they reach production. The release readiness feature, in particular, runs the code in an AWS-managed isolated environment, executing lightweight user journey tests to verify the software builds, runs, and passes basic functional checks before the change enters the pipeline, the company wrote in a blog post. The findings of these tests can be viewed through the DevOps Agent console, as comments on pull requests in GitHub or GitLab, or can be invoked directly thr
AWS introduces Web Search on Amazon Bedrock AgentCore, a fully managed tool that enables agents to ground responses in current, cited web knowledge with zero data egress from customer's secured AWS environment. You can focus on building agents instead of manually adding web search to agents on Bedrock AgentCore and managing its infrastructure.
Coinbase and AWS are pushing x402 as a way for publishers and APIs to charge autonomous AI agents, but hot-key and spend-limit risks remain.
Hot AI companies can’t stop talking about forward-deployed engineers (FDEs), which are now very much in vogue. FDEs, in case you haven’t heard, are hired by companies looking (hoping?) to successfully deploy AI tools and services. It’s one of the hotter professions in a world still trying to understand the impact of AI on careers. So, what exactly are FDEs — are they techy lone rangers like the ones OpenAI, Google and Microsoft are hiring? Turns out it’s not so much about individual engineers who swoop in to design and roll out AI deployments; it’s more about a team of engineers working together at customer sites. At least, that’s the view at Amazon Web Services (AWS). In fact, according to Taimur Rashid, managing director of the AWS Generative AI Innovation Center, the FDE concept pre-dates the current generative AI (genAI) gold rush. The same kinds of engineering teams were needed for the earlier machine-learning and cloud eras to help companies with deployments. Taimur Rashid, man
State Information Technology Services officials said the enterprise agreement lowers costs, simplifies acquisition and expands access to AI tools and training for more than 130,000 state employees.
This week, New York City is hosting AWS Summit, bringing together builders, customers, and AWS teams for a full day of announcements, demos, and technical sessions at the Javits Center. I wrote blog posts for some of the Summit launches, so I am excited to see them go live this week. I just won’t be […]
