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This post is co-written with Ken Tsui, Edward Tsoi and Mickey Yip from Apoidea Group. The banking industry has long…
This post is the second part of the DeepSeek series focusing on model customization with Amazon SageMaker HyperPod recipes (or…
Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for…
Foundation model (FM) training and inference has led to a significant increase in computational needs across the industry. These models…
This post is cowritten with Abdullahi Olaoye, Akshit Arora and Eliuth Triana Isaza at NVIDIA. As enterprises continue to push…
The rise of generative AI has significantly increased the complexity of building, training, and deploying machine learning (ML) models. It…
Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. To achieve optimal performance…
At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS)…
