A Look at Cabling Best Practices for AI Data Centers
The dramatic growth of AI is driving unprecedented changes in data center infrastructure. Much attention has been focused on greater compute density and the need for innovative cooling systems to manage heat effectively. Cabling infrastructure also requires a new approach. AI servers use graphics processing units (GPUs) to deliver the raw computational power needed for AI workloads. GPUs are designed for parallel processing, enabling them to perform multiple calculations simultaneously. Still, one AI-enabled server is not enough to train an AI model and run some AI workloads. Multiple AI servers must be harnessed together in a high-performance computing (HPC) cluster.
