Cisco has expanded its partnership with NVIDIA to bring Splunk AI to on-premises customers.
Jeetu Patel, president and chief product officer, Cisco, said: “By running Splunk AI on the infrastructure customers already trust, they can move faster to put AI to work in their business with confidence and control.”
Self-managed Splunk AI
Cisco and NVIDIA are expanding their partnership to bring self-managed AI directly to Splunk Enterprise customers, across their own on-premises, private cloud, and air-gapped environments.
- Cisco Secure AI Factory with NVIDIA is the reference architecture that brings the full AI stack together, built from Cisco AI PODs. The newest of these configurations, Cisco AI POD for Splunk, brings Splunk AI to on-premises customers with new AI runtime software, Cisco infrastructure, NVIDIA accelerated computing, and Kubernetes-based architecture – pre-validated and optimised for Splunk AI workloads.
- Splunk AI Assistant (available now) and Agent Launchpad (coming later this year) run on this layer to enable ad-hoc agentic investigations and custom agent building for use cases, such as the agentic SOC, for teams that run Splunk in their own data centres.
- Customers can also self-host a selection of open and proprietary generative AI models for their Splunk Enterprise workloads, including the Cisco Deep Time Series Model, Google Gemma 4, and OpenAI GPT-OSS 20B, with the NVIDIA Nemotron open models in the coming months.
Justin Boitano, vice president of Enterprise AI at NVIDIA. “By enabling Splunk AI workloads to run with NVIDIA Nemotron open models on NVIDIA accelerated computing, Cisco and NVIDIA are working together to bring AI agents directly to Splunk and giving organisations a high-performance, full-stack foundation for agentic security operations wherever they run their infrastructure.”
