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Tape storage dates to the early days of computing, yet it still protects vast archives today. Here is how modern tape works and why large operators...
Flash storage is faster, yet spinning hard drives still hold a huge share of the world's data. Here is a short history of the hard drive...
Backups, replicas and disaster recovery plans are how organizations protect data from failures, mistakes and attacks. Here is how the pieces differ and fit together.
Before a model can learn from data, that data must be read, decoded, shuffled and delivered at speed. Here is how AI data pipelines work and...
Large AI training runs regularly save snapshots of their progress. This explainer covers what checkpoints are, why they are essential and what they demand from storage.
AI training needs storage that can serve data to many machines at once. Parallel file systems do that by spreading files across many servers. Here is...
Coverage of AI networking is full of speeds, acronyms and big claims. This checklist helps curious readers ask the right questions and make sense of what...
AI training depends on chips constantly combining their results. This explainer walks through all-reduce and other collective operations in plain language.
The cloud sounds weightless, but it is built from buildings, cables and machines. This myth-versus-fact guide clears up common misunderstandings in plain English.
Behind every chatbot reply is a chain of networking, scheduling and computing. This walkthrough follows a single request from your screen to the model and back.
Not all data centers are alike. This guide compares the three main models, enterprise, colocation and hyperscale, and explains how AI is reshaping each.
Cloud providers organize their infrastructure into regions and availability zones. Here is what those terms mean physically and why they matter for reliability and latency.
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