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New serverless customization in Amazon SageMaker AI accelerates model fine-tuning
Today, I’m happy to announce new serverless customization in Amazon SageMaker AI for popular AI models, such as Amazon Nova, DeepSeek, GPT-OSS, Llama, and Qwen. The new customization capability provides an easy-to-use interface for the latest fine-tuning techniques...
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...