The public cloud delivers immense value for certain workloads, such as proofs of concept and other use cases that require highly elastic infrastructure. However, when businesses default to the public cloud for all their infrastructure needs, including for production workloads, it raises common challenges: Maintaining control over workload performance and data residency Avoiding high costs driven by networking egress fees and pay-per-use pricing models for established, stable workloads Despite the enduring benefits of public cloud, it’s simply not right for every workload. Given the rapid acceleration of enterprise AI adoption, getting the right mix of public and private infrastructure is more important…

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