Favorite As organizations scale their AI infrastructure to support trillion-parameter models, they face a difficult trade-off: reduced training time with lower cost or faster training time with a higher cost. When they checkpoint frequently to speed up recovery time and minimize lost training time, they incur in substantially higher storage

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Shared by AWS Machine Learning September 10, 2025

Favorite As generative AI continues to transform how enterprises operate—and develop net new innovations—the infrastructure demands for training and deploying AI models have grown exponentially. Traditional infrastructure approaches are struggling to keep pace with today’s computational requirements, network demands, and resilience needs of modern AI workloads. At AWS, we’re also

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Shared by AWS Machine Learning September 10, 2025

Favorite This post was written with Felipe Monroy, Ana Jaime, and Nikita Gordeev from Snoonu. Managing a massive product catalog in the ecommerce space has introduced new hurdles for retailers who are trying to efficiently connect customers with the items they truly want. Traditional one-size-fits-all approaches often result in lost

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Shared by AWS Machine Learning September 9, 2025

Favorite This post was written with Lior Heber and Yarden Ron of Skai. Skai (formerly Kenshoo) is an AI-driven omnichannel advertising and analytics platform designed for brands and agencies to plan, launch, optimize, and measure paid media across search, social, retail media marketplaces and other “walled-garden” channels from a single

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Shared by AWS Machine Learning September 9, 2025

Favorite Basic AI chat isn’t enough for most business applications. Institutions need AI that can pull from their databases, integrate with their existing tools, handle multi-step processes, and make decisions independently. This post demonstrates how to quickly build sophisticated AI agents using Strands Agents, scale them reliably with Amazon Bedrock

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Shared by AWS Machine Learning September 9, 2025

Favorite We are excited to announce the general availability of fine-grained compute and memory quota allocation with HyperPod task governance. With this capability, customers can optimize Amazon SageMaker HyperPod cluster utilization on Amazon Elastic Kubernetes Service (Amazon EKS), distribute fair usage, and support efficient resource allocation across different teams or projects. For more

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Shared by AWS Machine Learning September 9, 2025

Favorite This post is co-written by Jake Friedman, President + Co-founder of Wildlife. Amazon Nova is enhancing sports fan engagement through an immersive Formula 1 (F1)-inspired experience that turns traditional spectators into active participants. This post explores the Real-Time Race Track (RTRT), an interactive experience built using Amazon Nova in

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Shared by AWS Machine Learning September 6, 2025

Favorite This post was written with Mohamed Hossam of Brightskies. Research universities engaged in large-scale AI and high-performance computing (HPC) often face significant infrastructure challenges that impede innovation and delay research outcomes. Traditional on-premises HPC clusters come with long GPU procurement cycles, rigid scaling limits, and complex maintenance requirements. These

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Shared by AWS Machine Learning September 6, 2025

Favorite The art of storyboarding stands as the cornerstone of modern content creation, weaving its essential role through filmmaking, animation, advertising, and UX design. Though traditionally, creators have relied on hand-drawn sequential illustrations to map their narratives, today’s AI foundation models (FMs) are transforming this landscape. FMs like Amazon Nova

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Shared by AWS Machine Learning September 5, 2025

Favorite Although careful prompt crafting can yield good results, achieving professional-grade visual consistency often requires adapting the underlying model itself. Building on the prompt engineering and character development approach covered in Part 1 of this two-part series, we now push the consistency level for specific characters by fine-tuning an Amazon

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Shared by AWS Machine Learning September 5, 2025