📄 中文摘要
人工智能工作负载正在推动传统云架构的极限,企业在构建 AI 驱动的产品时,需要能够扩展计算资源、管理大数据集并保持高可用性的基础设施。AI 就绪的云基础设施是专门为支持机器学习工作负载、高性能计算、数据管道和大规模数据处理而设计的云架构。现代组织正通过设计能够支持 AI 应用、机器学习管道和大规模数据处理的云环境,来满足这些需求。
📄 English Summary
Building AI-Ready Cloud Infrastructure: A Practical Guide for Modern Applications
Artificial Intelligence workloads are challenging traditional cloud architectures, necessitating infrastructure that can scale compute resources, manage large datasets, and ensure high availability for AI-driven products. AI-Ready Cloud Infrastructure is specifically designed to support machine learning workloads, high-performance computing, data pipelines, and large-scale data processing. Modern organizations are creating cloud environments that can effectively support AI applications, machine learning pipelines, and extensive data processing to address these requirements.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等