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Navigating multi-cloud networking: Agility and cost-efficiency in complex infrastructures
Key takeaway
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Multi cloud complexity grows non‑linearly
As organisations expand from one to several cloud providers, networking constructs, tooling, and operational overhead multiply, creating complexity that slows innovation and strains engineering teams.
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Unified networking accelerates cloud outcomes
A single policy, visibility, and automation layer across heterogeneous cloud environments helps standardize configuration, eliminate tool sprawl, reduce MTTR, and ensure high‑performance connectivity for distributed workloads.
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AI driven workloads demand high bandwidth, low latency, and globally distributed interconnectivity
IDC highlights that over 65% of GPU deployments span 2–5+ data centres, and AI clusters often sit idle due to data movement bottlenecks. This makes optimised cross cloud routing, low jitter, predictable performance, and stronger security essential to achieving measurable outcomes from AI initiatives.