Ten years ago, Microsoft and Red Hat began a partnership grounded in open source and enterprise cloud innovation. This year, we celebrate a decade of collaboration. Our journey together has helped customers accelerate hybrid cloud…
Enabling the next wave of cloud transformation with Azure Networking The cloud landscape is evolving at an unprecedented pace, driven by the exponential growth of AI workloads and the need for seamless, secure, and high-performance…
We’re at a real inflection point in the AI landscape, a threshold where models move from useful assistants to genuine collaborators. Models that understand the objective, factor in constraints, and execute complex multi-tool workflows. Models…
Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce average results, or tackle the complexity and expense of advanced model customization. Traditional approaches force…
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…
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 AI…