Cisco Systems and NVIDIA expand on-premises Splunk AI with Cisco Secure AI Factory
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Cisco and NVIDIA expanded their partnership to support Splunk AI in on-premises environments. The change centers on deploying agentic AI where data already resides while using Cisco and NVIDIA infrastructure and runtime components. It also adds capabilities intended to track agent performance and AI-related spending for Splunk AI deployments.
The update includes expanded self-managed options for Splunk Enterprise customers who do not move sensitive data to the cloud. It also introduces observability features that Cisco said address visibility gaps around agent behavior and costs that can surface later in billing. In addition, Cisco described new functionality in Splunk Agent Observability that extends across Cisco and Splunk environments.
For on-premises deployments, Cisco Secure AI Factory with NVIDIA uses Cisco AI POD configurations as a reference architecture. Cisco AI POD for Splunk adds AI runtime software, Cisco infrastructure, NVIDIA accelerated computing, and a Kubernetes-based architecture pre-validated for Splunk AI workloads. Cisco AI POD for Splunk is available today, with additional support cited from partners including Wipro and World Wide Technology.
The offering includes Splunk AI Assistant (available now) and Agent Launchpad (coming later this year), which run on the same layer for ad-hoc agentic investigations and custom agent building. Cisco also expanded Splunk Agent Observability with Tokenomics capabilities to track and attribute token expenditure across AI agents and employees’ use of coding agents like Claude Code, Codex, and Cursor, with forecasting based on the Cisco Deep Time Series Model. Cisco said Splunk Agent Observability evaluates agent and model behavior, observes performance across the AI stack, and applies runtime guardrails that block inaccurate or unsafe actions.
Jeetu Patel, President and Chief Product Officer at Cisco, said, “One of the biggest roadblocks to enterprise AI today is that it’s too hard to deploy,” adding that customers want to know whether they can trust it, afford it, and secure it. Justin Boitano, Vice President of Enterprise AI at NVIDIA, said, “Enterprises need to bring AI where their data lives, especially when security and sovereignty requirements require critical workloads to stay on-premises,” and described the pairing of Cisco and NVIDIA efforts around Splunk AI workloads. Cisco and NVIDIA also described the addition of NVIDIA Nemotron open models in the coming months.
Press release, provided by Cision on behalf of Cisco Systems. Read the original.