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AWS re:Invent 2019: The right instance type in Amazon SageMaker, ft. Texas Instruments (AIM311-R1)
AWS re:Invent 2019: Amazon.com automating machine learning deployments at scale (ARC340-R1)
AWS re:Invent 2019: [REPEAT 1] Deliver high performance ML inference with AWS Inferentia (CMP324-R1)
AWS re:Invent 2020: How to choose the right instance type for ML inference
AWS re:Invent 2019: AWS infrastructure for large-scale training at Facebook AI (CMP304-R1)
AWS re:Invent 2019: [REPEAT 1] How to cost-optimize your Microsoft workloads on AWS (WIN202-R1)
AWS re:Invent 2019: Oversubscription at scale: Running tons of containers w/ Kubernetes (CON327-R1)
AWS re:Invent 2019: We Power Tech: In diversity and inclusion, details matter (WPT203)
Amazon AI Conclave 2019 - How to Speed Up Deep Learning Training and Inferencing
AWS re:Invent 2019: AWS Outposts: Extend the AWS experience to on-premises environments (CMP302-R2)
AWS re:Invent 2019: Fast-track Kubernetes and platform rebuilds with observability
SageMaker Friday episode 2 - Low Code Machine Learning - AWS Online Tech Talks
![AWS re:Invent 2019: [REPEAT 1] Deliver high performance ML inference with AWS Inferentia (CMP324-R1)](https://img.youtube.com/vi/17r1EapAxpk/hqdefault.jpg)
![AWS re:Invent 2019: [REPEAT 1] How to cost-optimize your Microsoft workloads on AWS (WIN202-R1)](https://img.youtube.com/vi/zBifSQ-kWTQ/hqdefault.jpg)
