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Introducing checkpointless and elastic training on Amazon SageMaker HyperPod
Today, we’re announcing two new AI model training features within Amazon SageMaker HyperPod: checkpointless training, an approach that mitigates the need for traditional checkpoint-based recovery by enabling peer-to-peer state recovery, and elastic training, enabling...
AWS introduces powers for AI-powered Kiro IDE
AWS has released Kiro powers, an addition to the company’s Kiro AI-driven IDE that provides dynamic loading of context and Model Context Protocol (MCP) servers, with the intent of providing a unified approach to a broad range of development use cases. Announced...
AWS offers new service to make AI models better at work
Enterprises are no longer asking whether they should adopt AI; rather, they want to know why the AI they have already deployed still can’t reason as their business requires it to. Those AI systems are often missing an enterprise’s specific business context, because...