利用亚马逊 SageMaker HyperPod 加速 Hexagon 的 AI 模型生产

📄 中文摘要

Hexagon 与亚马逊网络服务(AWS)合作,通过使用亚马逊 SageMaker HyperPod 的模型训练基础设施,成功地扩展了其 AI 模型的生产能力。该合作重点在于预训练最先进的分割模型,以提高模型的训练效率和性能。通过这一创新的基础设施,Hexagon 能够更快地部署高质量的 AI 模型,满足不断增长的市场需求。

📄 English Summary

Accelerating AI model production at Hexagon with Amazon SageMaker HyperPod

Hexagon collaborated with Amazon Web Services (AWS) to enhance its AI model production capabilities by leveraging the model training infrastructure of Amazon SageMaker HyperPod. The focus of this collaboration was on pretraining state-of-the-art segmentation models, which significantly improved training efficiency and performance. This innovative infrastructure enabled Hexagon to deploy high-quality AI models more rapidly, addressing the increasing market demand for advanced AI solutions.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等