Cisco AI POD for Splunk
Bring Splunk AI to your data center
Deploy Splunk AI on-premises with pre-sized, pre-validated Cisco infrastructure optimized for Splunk AI workloads and single-vendor support.
A defined path to Splunk AI
Cisco AI POD for Splunk brings the infrastructure, integration, and support together in a defined solution, giving you a simpler path to deploy AI in your data center.
Unlock Splunk AI on-premises
AI Assistant in agentic mode, forecasting and anomaly detection models, and governed agents from Agent Launchpad run in your environment so SecOps, ITOps, and NetOps teams anticipate issues earlier and investigate faster.
Reduce infrastructure and service complexity
A pre-sized, pre-validated Cisco configuration with single-vendor support accelerates deployment by eliminating the need to independently source, size, integrate, and support the full stack.
Start right-sized and scale
Keep AI workloads, model inference, and requests inside your controlled environment to meet security, regulatory, and air-gap requirements. Run on infrastructure sized to start small and scale as you adopt more AI capabilities.
capabilities
Supported Splunk AI capabilities
Splunk AI Assistant
Transform multi-step analysis into a single agentic workflow
With Agent Mode, the assistant reasons through your requests, takes actions on your behalf, and leverages tools from a single chat window.
- Perform complex searches using natural language
- SPL explanation and Q&A
- Query optimization
- Agentic investigation workflows
Agent Launchpad
Build governed agents and launch from your workflow
Agent Launchpad* helps you build, deploy, and review agents with no code required. Trigger agents from your workflow searches or alerts. Review and audit every agent run. Operate within role-based access control (RBAC) and governance.
- Invoke agents in Splunk workflows with context
- Use Splunk hosted models or integrate to third-party models
- Start with agent templates, apply agent skills, and connect MCP tools
*Feature coming soon
Splunk hosted models
Purpose-built models and open LLMs
Enable Splunk hosted models for self-managed deployment with no integration or governance project required, including:
- Cisco Deep Time Series Model
- Gemma 4 31B Dense
- GPT-OSS 20B
architecture
One system, validated together
Cisco AI POD for Splunk arrives as one system. AI Tier, the software that delivers supported Splunk AI capabilities, is integrated with the Cisco computer, networking, and Kubernetes architecture it runs on — and validated together rather than assembled on site. You supply the data-center environment it runs in and keep ownership of operations and security.
Cisco AI Pod for Splunk
The fastest path to run Splunk AI on-premises when you need infrastructure with it.
- You get AI Tier software plus a defined Cisco configuration for the Splunk AI workload, with single-vendor support.
- You avoid independently sizing, sourcing, validating, testing, integrating, and coordinating support across the stack.
- Best fit when you need new infrastructure, value a validated configuration and single-vendor support, or want less integration risk.
Standalone AI Tier
The software-only path if you are using your own, qualified infrastructure.
- You get AI Tier software with supported Splunk AI services and models, for infrastructure you provide.
- You avoid purchasing infrastructure when a suitable, qualified environment already exists.
- Best fit when you already have qualified GPU and Kubernetes infrastructure, or you're standardized on another vendor.
Cisco AI POD for Splunk FAQs
Cisco AI POD for Splunk is the fastest path to run Splunk AI on-premises when you need the infrastructure as well. It combines AI Tier software with Cisco UCS compute, NVIDIA RTX PRO 6000 GPU acceleration, Cisco networking, OpenShift, and the Splunk Operator for Kubernetes in a pre-sized, pre-validated system backed by single-vendor support.
Cisco AI POD for Splunk is pre-sized, pre-validated, and simplified. You still own data center placement, connectivity, security controls, and ongoing operations.
Start from the minimal validated hardware profile. Final sizing depends on your workload, so it is confirmed with workload-specific validation rather than estimated up front.
There is no incremental AI Tier software cost. Install AI Tier on qualified infrastructure you provide or choose Cisco AI POD for Splunk for the integrated Cisco path.
No. It is not a generic AI factory or a standalone GPU appliance. It is the Cisco infrastructure deployment designed for Splunk AI workloads.
Talk to your Splunk account team to confirm the workload, the local-deployment requirement, and the right path — Cisco AI POD for Splunk or standalone AI Tier.
