Campus AI initiatives are forcing colleges and universities to rethink hybrid cloud strategies, moving beyond simple combinations of on-premises infrastructure and public cloud services. With AI workloads becoming more complex and distributed, IT lea...
Campus AI initiatives are forcing colleges and universities to rethink hybrid cloud strategies, moving beyond simple combinations of on-premises infrastructure and public cloud services. With AI workloads becoming more complex and distributed, IT leaders are increasingly focused on determining where training, inference and data processing should occur to balance out performance, cost, security and compliance requirements. The result is a growing emphasis on workload placement as a foundational element of AI architecture rather than a tactical infrastructure decision. Success increasingly…
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EdTech Magazine — Higher Ed (EN)