FAQs

What is an AI Ready Data Center?
An AI Ready Data Center is a data center designed and optimized specifically to support the computational and storage demands of artificial intelligence workloads. Unlike traditional data centers, these are built with advanced infrastructure to handle the unique challenges posed by AI technologies, such as high-performance computing (HPC), large-scale data storage, and intensive processing power.

What is AI with private infrastructure?
AI with private infrastructure refers to deploying artificial intelligence solutions on a private, on-premises environment or private cloud rather than using public cloud services. This model is typically preferred by organizations that need more control over their data, have stringent regulatory requirements, or require enhanced security and privacy.

What are the benefits and challenges of performing AI training and inference in public clouds?
Running AI training and inference in public clouds offers significant advantages, such as scalability and cost efficiency, but it also presents challenges like security concerns and latency issues. Organizations must carefully weigh these factors to determine the best approach for their AI initiatives.

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What are the benefits and challenges of performing AI training and inference in hybrid clouds?
Hybrid clouds provide a balanced approach for AI training and inference, combining the strengths of both on-premises and public cloud infrastructures. While they offer significant benefits such as flexibility and enhanced security, organizations must navigate the challenges of complexity, data transfer, and potential vendor lock-in to maximize the effectiveness of their AI initiatives.

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