Artificial Intelligence has become a core capability in modern software systems, powering applications such as personalized recommendations, fraud detection, medical diagnostics, and autonomous systems. Yet, as organizations rush to embrace this transformative force, many find themselves trapped in a technological time warp. The problem? Incompatibility with legacy infrastructure designed well before the AI revolution.
Imagine attempting to run modern AI workloads on legacy infrastructure introduces structural mismatches in performance,…

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