Amazon hopes to challenge Nvidia more directly by selling its AI chips
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.
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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.
Read full articleAWS 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 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
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.