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...
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...
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...
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”...
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...
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...
