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Executive Summary Selecting AI infrastructure is a placement problem, not just a hardware purchase. The best environment is the one that keeps data close to compute, satisfies latency and compliance requirements, and scales without forcing your team into constant re-architecture. In practice, that means comparing GPU servers, dedicated CPU servers, and colocation through the lens […]
Executive summary: Latency architecture is the practice of designing hosting, networking, storage, and compute layers so systems stay fast not only on average, but under real traffic, real geography, and real failure conditions. If your business depends on responsive websites, APIs, AI inference, transactional databases, or remote access, the difference between a good platform and […]
