en.Wedoany.com Reported - Digital Realty has launched the ServiceFabric Model Context Protocol (MCP), designed to help enterprises deploy and operate private AI infrastructure at scale. This programmable layer extends the company's ServiceFabric interconnection platform and introduces support for the emerging Model Context Protocol standard, enabling AI systems and agents to interact with infrastructure through standardized interfaces. Digital Realty positions networking and infrastructure management as programmable services directly accessible to AI systems.

Chris Sharp, Chief Technology Officer of Digital Realty, stated that the company's strategy is to provide the infrastructure required for enterprise continuous AI workloads while enabling flexible scaling as demand grows. ServiceFabric MCP extends the foundation of AIPx through programmable control and agent-ready interfaces, with its patent portfolio reflecting the company's long-term investment in this architecture. At the core of this launch is the AI Private Exchange (AIPx), a private interconnection architecture built by Digital Realty for AI workloads, combining orchestration and policy technologies to help enterprises manage AI infrastructure across multiple locations and environments. ServiceFabric MCP creates an "AI-native control plane" on top of this architecture, designed to operate across more than 800 Digital Realty and third-party data centers, enabling organizations to connect workloads, infrastructure, and datasets through a common framework.
Enterprises deploying AI face resource coordination challenges, requiring management of resources across colocation facilities, cloud platforms, and on-premises environments while maintaining governance and security controls. Mary Johnston Turner, Research Vice President at International Data Corporation (IDC), noted that production-grade AI workloads require control over data movement, policy enforcement, and partner integration, which cannot be achieved through public cloud APIs alone; providers combining global reach with programmable, agent-ready interconnection are well-positioned to support the next wave of enterprise AI investment. ServiceFabric MCP introduces four core capabilities: intent-based network design and configuration, allowing connection resource provisioning via APIs and MCP interfaces; real-time infrastructure performance visibility, including capacity, topology, throughput, and latency metrics; security features encompassing identity management via OAuth 2 and programmable access control for network connections; and operational capabilities extending to diagnostics and troubleshooting, supporting integration with platforms such as Slack, Microsoft Teams, Splunk, and Datadog. The technology has been tested in Digital Realty's own operational environments and customer deployments.
Medical AI company See All AI uses Digital Realty infrastructure to support medical imaging applications. Its CEO, T. Michael Thornton, stated that the company is developing advanced medical imaging AI systems requiring immense computing performance and highly scalable data infrastructure. Digital Realty's Borton campus and ServiceFabric provide the high-bandwidth, low-latency connectivity needed to support NVIDIA DGX B200 environments, enabling secure movement of large imaging datasets, dynamic connection to cloud resources, and the operational resilience required for production-grade medical AI. Digital Realty is also developing AI infrastructure solutions with partners including Lenovo, Dell, and ePlus, with technical support from NVIDIA and AMD, and more ecosystem partners are under development.
ServiceFabric MCP initially focuses on programmable networking and connectivity, which Digital Realty views as the first phase of a broader "AI Foundation" strategy. The company anticipates future developments expanding into areas such as power management, facility capacity, inventory visibility, ecosystem integration, and sovereign deployment requirements.
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