Amazon SageMaker HyperPod

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Accelerating Articul8’s domain-specific model development with Amazon SageMaker HyperPod

Amazon SageMaker, Amazon SageMaker HyperPod, Artificial Intelligence, Foundation models, Generative AI, Technical How-to /

This post was co-written with Renato Nascimento, Felipe Viana, Andre Von Zuben from Articul8. Generative AI is reshaping industries, offering new efficiencies, automation, and innovation. However, generative AI requires powerful, scalable, and resilient infrastructures that optimize large-scale model training, providing rapid iteration and efficient compute utilization with purpose-built infrastructure and automated cluster management. In this […]

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Multi-account support for Amazon SageMaker HyperPod task governance

Amazon Elastic Kubernetes Service, Amazon SageMaker HyperPod, Artificial Intelligence, AWS Identity and Access Management (IAM), Best Practices, Intermediate (200) /

GPUs are a precious resource; they are both short in supply and much more costly than traditional CPUs. They are also highly adaptable to many different use cases. Organizations building or adopting generative AI use GPUs to run simulations, run inference (both for internal or external usage), build agentic workloads, and run data scientists’ experiments.

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How Apoidea Group enhances visual information extraction from banking documents with multimodal models using LLaMA-Factory on Amazon SageMaker HyperPod

Amazon SageMaker, Amazon SageMaker HyperPod, Artificial Intelligence, Customer Solutions, Generative AI /

This post is co-written with Ken Tsui, Edward Tsoi and Mickey Yip from Apoidea Group. The banking industry has long struggled with the inefficiencies associated with repetitive processes such as information extraction, document review, and auditing. These tasks, which require significant human resources, slow down critical operations such as Know Your Customer (KYC) procedures, loan

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Customize DeepSeek-R1 671b model using Amazon SageMaker HyperPod recipes – Part 2

Amazon SageMaker, Amazon SageMaker HyperPod, Artificial Intelligence, Intermediate (200) /

This post is the second part of the DeepSeek series focusing on model customization with Amazon SageMaker HyperPod recipes (or recipes for brevity). In Part 1, we demonstrated the performance and ease of fine-tuning DeepSeek-R1 distilled models using these recipes. In this post, we use the recipes to fine-tune the original DeepSeek-R1 671b parameter model.

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