#724: Accelerated computing: From fraud detection to AI innovation
AWS Podcast
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Maximizing GPU Utilization in AWS ML
This chapter explores the complexities of utilizing GPU capacity for machine learning on AWS, focusing on various customer needs from turnkey solutions to custom model training. It discusses the challenges of maximizing GPU usage and the role of Kubernetes in optimizing resource allocation and performance. The conversation also covers architectural considerations, customer use cases, and tools like NVIDIA NIM and Carpenter for efficient deployment and scaling.
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