AI-Ready Infrastructure

Solution Guides

Iron Mountain Data Centers (IMDC) has extensive experience in supporting both traditional Machine Learning (ML) and generative Artificial Intelligence (AI) applications for customers using High-Performance Compute (HPC) architectures in the data center.

October 19, 20236 mins
Data Center people looking at the infrastructure

Iron Mountain Data Centers (IMDC) has extensive experience in supporting both traditional Machine Learning (ML) and generative Artificial Intelligence (AI) applications for customers using High-Performance Compute (HPC) architectures in the data center.

Generative AI models are among the most powerful and compute-intensive applications, and require specialized infrastructure. Typically, AI applications require much higher-density power than standard customer equipment, with matching advanced cooling capability and more extensive backup resources to maintain uptime. They operate best with modular architectures which can be added to easily as more processing, memory, and power are needed.

Server architecture typically doubles year-on-year and new and more efficient chips are constantly being launched . This, and the exceptional power requirements of AI, makes the selection of efficient components combined with low-or-no-carbon power a critical factor, as well as effective equipment lifecycle management and recycling, particularly for high-value GPUs.

Elevate the power of your work

Get a FREE consultation today!

Get Started