From “Cloud-Only” to Cloud-Smart: Why Neocloud and Edge Colocation Belong Together
For much of the past decade, cloud-first strategies defined enterprise IT. Public cloud platforms became the default destination for new applications because they offered flexibility and scalability without significant upfront infrastructure investment. As digital infrastructure has evolved, however, organizations have become more deliberate about where workloads reside. Infrastructure decisions are increasingly based on application requirements, operational costs, and the level of performance each workload demands rather than a single deployment model.
This shift has given rise to a cloud-smart approach, where applications and data are placed in the environments best suited to their specific requirements. Public cloud remains an important part of enterprise infrastructure, but organizations are increasingly combining it with regional colocation and specialized infrastructure to better support workload requirements. 1547’s ecosystem supports this approach through regional colocation, interconnection, and cloud access, giving organizations the flexibility to build infrastructure around their specific needs.
The Shift Toward Cloud-Smart Infrastructure
The move away from cloud-only strategies reflects a broader change in how organizations evaluate infrastructure. As cloud adoption has matured, businesses have gained a clearer understanding of which workloads benefit from public cloud and which are better suited for other environments. Greater attention is being paid to cloud spending, while time-sensitive applications and the growing concentration of enterprise data continue to influence infrastructure planning.
Industry analysts, including Gartner, have observed that hybrid cloud research continues to accelerate because organizations are aligning infrastructure with workload requirements instead of standardizing on a single environment. The objective is to match each application with the infrastructure environment that best meets its operational requirements.
The Emergence of Neocloud
Artificial intelligence has introduced a new set of infrastructure requirements. Training and deploying AI models requires access to specialized GPU resources that are expensive to build and maintain internally. Neocloud platforms have emerged to meet this demand by providing purpose-built environments designed for AI workloads and other compute-intensive applications.
As McKinsey has noted, demand for AI infrastructure continues to grow as organizations move AI initiatives from experimentation into production. NeoCloud enables organizations to access the compute capacity they need without the expense and operational complexity of building and managing dedicated AI infrastructure. However, AI workloads still depend on reliable connectivity to enterprise systems, cloud platforms, and users. Those connections become more important as AI applications are integrated into day-to-day business operations.
The Enduring Value of Regional Colocation
Regional colocation provides the physical infrastructure that supports distributed digital environments. By bringing infrastructure closer to users and enterprise data, it helps organizations improve application performance while simplifying connectivity between hybrid environments. Many regional facilities also offer the high-density power and cooling needed to support compute-intensive workloads, including AI applications.
Regional markets have become increasingly important as organizations expand beyond traditional hyperscale locations. According to JLL’s Global Data Center Market Outlook, secondary markets continue to attract investment because they offer geographic diversity, additional capacity, and opportunities for long-term growth. They also strengthen disaster recovery strategies by providing infrastructure in locations that complement primary deployments.
Connecting Neocloud and Edge Infrastructure
Neocloud and regional colocation are complementary components of a cloud-smart infrastructure strategy. AI model training and other GPU-intensive workloads are well suited for Neocloud environments, while customer-facing applications often perform best when deployed from regional facilities located closer to users. Sensitive enterprise data may remain on dedicated infrastructure to satisfy governance requirements, while business applications continue to leverage public cloud services where they make the most sense.
Regional colocation provides the physical infrastructure and network connectivity that allow these environments to work together. It creates the foundation for moving data efficiently between AI platforms, enterprise applications, and public cloud environments while maintaining the flexibility to place each workload where it performs best. Rather than relying on a cloud-only model, this hybrid approach gives organizations greater flexibility to optimize performance, cost, and operational efficiency across their infrastructure.
Supporting Modern Hybrid Infrastructure
As enterprise infrastructure becomes more distributed, organizations require partners that can integrate multiple environments into a cohesive architecture. 1547 combines regional colocation with cloud connectivity to help organizations build infrastructure that meets the unique demands of their workloads. Through its regional ecosystem, 1547 enables organizations to connect AI infrastructure with enterprise environments, providing the flexibility to scale as infrastructure requirements continue to evolve.
Cloud strategy is increasingly focused on placing workloads where they perform best. Organizations that combine Neocloud with regional edge colocation are better equipped to support changing business requirements over time. Cloud-smart infrastructure is ultimately about making informed decisions that prepare organizations for future growth.
The future isn’t cloud-only, it’s cloud-smart, where every workload is placed in the environment where it performs best.