This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact AWS Training and Certification Customer Support.
Learners will understand how Amazon SageMaker AI's container caching feature speeds up model scaling by up to 2x for generative AI models during scale-out events. The course covers the challenge of cold start latency when new instances must be launched, explains how container caching eliminates the container image download bottleneck -- even for newly provisioned instances -- and shows how it complements earlier optimizations like sub-minute CloudWatch metrics and inference component data caching. Participants will learn the scaling stages involved and see the performance improvements this feature delivers.
