For systems integrators, planning for storage is not always as easy as it should be. The reasons for this may not immediately seem clear. A hard drive can be in stock, competitively priced, and technically suitable on paper—yet still be …
A dataset that has barely been touched for a year may still have considerable value. An intermediate file generated yesterday may already be expendable.
That distinction is becoming increasingly important as AI systems create larger and more complicated data estates. …
AI storage is not one workload. Flash owns the performance-sensitive hot path, while high-capacity HDDs remain important across the much larger data estate that surrounds it.
AI infrastructure is usually described in terms of GPUs, high-bandwidth memory, networking and flash. …
The massive growth in modern data centers and the new requirements of AI workloads are an occasion to rethink data center architecture. Traditionally, data center operations were organized into several tiers. Today, cutting-edge infrastructure often employs one of two contrasting …
