aiqbench analysis
This article details a converged enterprise architecture where Cisco Cloud Control and NVIDIA DGX Station enable secure, local agentic workflows with deterministic governance. The setup provides unified policy enforcement and observability for autonomous agents running on-premises or in air-gapped environments, addressing the shift from chat-based AI to action-oriented inference.
Enabling Local AI Resilience with Cisco Cloud Control and NVIDIA DGX Station

NVIDIA DGX Station for Windows brings a concrete enterprise-ready solution to local AI: combining powerful hardware connected to the applications and workflows people already use, meant for individuals or entire teams to leverage AI, locally.......
NVIDIA DGX Station for Windows brings a concrete enterprise-ready solution to local AI: combining powerful hardware connected to the applications and workflows people already use, meant for individuals or entire teams to leverage AI, locally. That creates an operating challenge: understanding which agents use the system, how their requests behave, and how to apply security policy around their actions. Local AI is shifting from chat to action. Agentic workflows demand continuous, high-performance inference—delivered with data security and cost predictability. Local AI platforms like NVIDIA DGX Station put that compute at your desk are built on the same accelerated compute architecture used in the Cisco Secure AI Factory with NVIDIA. NVIDIA OpenShell is the secure runtime that governs how agents execute, which resources and data…
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