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Compute recommendations for AI workloads on Azure . . . AI workloads require specialized virtual machines (VMs) to handle high computational demands and large-scale data processing Choosing the right VMs optimizes resource use and accelerates AI model development and deployment The following table provides an overview of recommended compute options
Best Practices for Scalable AI on Cloud Infrastructure Organizations can meet the demands of AI workloads at any scale by implementing managed services, modular architectures, auto-scaling, and robust security measures As AI evolves, staying informed on best practices for cloud scalability will ensure your solutions remain adaptable and cost-effective
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