[AI Network Architecture -- Storage Fabric]
A leading AI research center is upgrading its infrastructure to support large language model projects. The team is debating whether to implement a dedicated storage fabric for their AI workloads.
Which of the following best explains why a dedicated storage fabric is crucial for this AI network architecture?
Pick the 2 correct responses below
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Correct Answer:
A, C
Modern AI training (especially with LLMs) requires extremely high-speed, parallel access to large datasets. A dedicated storage fabric separates data I/O traffic from the training compute path and avoids contention.
From NVIDIA DGX Infrastructure Reference Architectures:
'Dedicated storage networks eliminate I/O bottlenecks by providing low-latency, high-bandwidth access to distributed storage for large-scale training jobs.'
'Parallel access to datasets is key for performance, especially in multi-node, multi-GPU AI clusters.'
Security (B) is important, but not the core reason for a storage fabric.
Cost (D) is typically increased, not reduced, with dedicated fabrics.
