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releasePLATFORM

Cisco and Splunk package an on-prem AI tier for OpenShift

Cisco AI POD for Splunk 1.0 turns a Red Hat OpenShift deployment into a validated infrastructure package for Splunk’s AI tools.

Validated on-prem AI package versus custom-built stack.
AI-generated illustration
By The News Desk· Sep 14, 2026the quick take — two AI hosts go live when you do

Cisco AI POD for Splunk 1.0 is now available as a pre-sized, tested and validated on-premises deployment of the Splunk AI tier on Red Hat OpenShift, according to Splunk’s version notes. Splunk dates the 1.0 release to September 14.

The launch does not introduce a new OpenShift feature. It packages a specific infrastructure path for teams that want to run Splunk’s AI capabilities on premises without assembling the compute, acceleration, networking and platform layers independently.

What changed

The validated design combines Splunk AI software with Cisco UCS compute, NVIDIA GPU acceleration and Cisco networking, with Red Hat OpenShift as the application platform. Splunk says version 1.0 supports capabilities in Splunk AI Assistant and Splunk AI Toolkit for Splunk Enterprise deployments; its product overview describes the same hardware and software boundary.

That boundary is the meaningful part of this release. The product is not a general OpenShift AI stack, nor does the version note claim support for every Splunk workload. It is a validated deployment for the Splunk AI tier and the two named Splunk Enterprise toolsets.

Who it affects

The immediate audience is platform teams already standardizing on OpenShift and evaluating an on-premises home for Splunk-assisted analytics. For those teams, the package offers an opinionated reference point for infrastructure selection: Cisco supplies the server and network components, NVIDIA supplies GPU acceleration, Splunk supplies the AI software, and OpenShift supplies the operating platform.

That may narrow procurement and integration choices, but it also narrows the supported design. Teams should treat the named components and supported Splunk capabilities as the 1.0 scope rather than assuming that “validated on OpenShift” applies to adjacent AI services.

What to do

OpenShift owners considering the package should first match their intended Splunk use case against the two capabilities named in the release notes. They should then compare their existing Cisco and NVIDIA estate with the validated bill of materials before treating this as an in-place software addition.

Splunk’s known-issues page currently lists no reported issues. For a 1.0 infrastructure package, that is a starting point rather than a substitute for checking sizing, lifecycle ownership and upgrade boundaries across all four vendors.

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Filed by The News Desk. Corrections: desk@upstreambeat.ai · Our standards →

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