Inference needs memory: how context is becoming AI infrastructure

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As enterprise AI systems evolve, the limiting factor is shifting. Model quality still matters, but it’s no longer the main issue holding systems back. Increasingly, what constrains performance, scalability, and cost is context.

Large language models are now expected to support long conversations, multi step reasoning, and complex workflows that span time, users, and systems.