Category: Compute

Agentic workflows are quickly becoming a cornerstone of AI innovation, enabling intelligent systems to autonomously handle and refine complex tasks in a way that mirrors human problem-solving. Last week, we launched Serverless Agentic Workflows with Amazon Bedrock, a new short course developed in collaboration with Dr. Andrew Ng and DeepLearning.AI. This hands-on course, taught by […]

Last week, AWS hosted free half-day conferences in London and Paris. My colleagues and I demonstrated how developers can use generative AI tools to speed up their design, analysis, code writing, debugging, and deployment workflows. These events were held at the GenAI Lofts. These lofts are open until October 25 (London) and November 5 (Paris). […]

AWS Console-to-Code generates reusable infrastructure as code from your AWS console actions, supporting Amazon EC2, RDS, and VPC. With a few clicks, get CloudFormation, CDK (TypeScript, Python, Java), or CLI code – a game-changer for streamlining cloud automation workflows.

Every week, there’s a new Amazon Web Services (AWS) community event where you can network, learn something new, and immerse yourself in the community. When you’re in a community, everyone grows together, and no one is left behind. Last week was no exception. I can highlight the Dach AWS Community Day where Viktoria Semaan closed […]

Unleash unparalleled computing prowess and energy efficiency for memory-intensive workloads, from in-memory databases to real-time analytics, with C8g and M8g instances powered by AWS Graviton4 processors.

AWS Community Days have been in full swing around the world. I am going to put the spotlight on AWS Community Day Argentina where Jeff Barr delivered the keynote, talks and shared his nuggets of wisdom with the community, including a fun story of how he once followed Bill Gates to a McDonald’s! I encourage […]

New memory-optimized X8g instances offer up to 3 TiB DDR5 memory, 192 vCPUs, and 50 Gbps network bandwidth, designed for memory-intensive workloads like databases, analytics, and caching with unparalleled price/performance and efficiency.

Amazon SageMaker HyperPod’s integration with Amazon EKS brings resilience, observability, and flexibility to large model training, reducing downtime by up to 40%.