Cisco and Splunk Bring On-Prem AI Infrastructure to Enterprise Data Centers

Cisco and Splunk have teamed up to bring agentic workloads into the enterprise data center, challenging the conventional wisdom that deploying digital coworkers requires a public cloud provider.

The companies announced the availability of on-premises AI infrastructure designed specifically to host agentic workloads through the Cisco AI POD for Splunk. This turnkey stack combines Cisco UCS compute, NVIDIA GPU acceleration, Red Hat OpenShift, and Splunk's AI runtime software.

This move signals a major pivot for enterprises that have felt forced to choose between the agility of managed cloud and the sovereignty of their own perimeter. As CIOs navigate the EU AI Act Article 10 becoming enforceable on August 2, 2026, organizations in regulated industries are under pressure to ensure data governance for high-risk AI.

The sovereign cloud market reached $80B in 2026 with 35.6% year-over-year growth, but many firms are unwilling to trust public clouds with their most sensitive reasoning processes. By moving the infrastructure on-prem, Cisco and Splunk are offering a path for companies that view cloud-only agent models as a compliance liability.

This development complicates the Agent Measurement Problem, making it harder to standardize performance metrics across heterogeneous environments. It also highlights the ongoing formation of the Agent Governance Stack, which aims to bridge the gap between the agility of no-code agent building and the strict requirements of enterprise security.