Splunk AI Tier is the software layer that runs Splunk’s supported AI capabilities inside your own environment instead of a public cloud. It installs on customer-qualified GPU and Kubernetes infrastructure, or on the pre-validated Cisco AI POD for Splunk, with no incremental AI Tier software cost. bitsIO, a five-time Splunk Partner of the Year named by Cisco among partners ready on day one, evaluates your infrastructure, deploys the AI Tier stack, and demonstrates an agreed AI workflow and records the returned results, so sensitive machine data never leaves your network.
Security and IT environments move too fast for manual investigation, but regulated enterprises cannot send sensitive machine telemetry to public clouds. Splunk AI Tier brings native AI workloads directly to your local infrastructure.
Run local foundation models, prompts, and time-series predictors entirely within your on-premises, private cloud, or air-gapped Kubernetes clusters. Machine data used for AI stays inside your network, which matters for data residency and sovereignty requirements.
Self-host models, including the Cisco Deep Time Series Model, to forecast metric trends and surface anomalies to support earlier investigation. Supported models also include Google Gemma and OpenAI GPT-OSS, with NVIDIA Nemotron models expected to follow.
Put agentic investigations to work on root-cause analysis with the Splunk AI Assistant, while your engineers stay accountable for final approval. Agent Launchpad, for building custom agents inside Splunk, is expected later in 2026.
Two ways to run Splunk AI on your own infrastructure. bitsIO delivers both.
A pre-validated Cisco infrastructure configuration with NVIDIA accelerated computing and a Kubernetes architecture, optimized for Splunk AI workloads. bitsIO handles sizing, deployment, and validation so you reach production faster.
Install the AI Tier software on your own qualified GPU and Kubernetes infrastructure, with no incremental AI Tier software cost. bitsIO confirms your environment meets prerequisites and tunes the stack for your telemetry.
bitsIO’s engineering team evaluates, deploys, and validates Splunk AI Tier in your environment, then provides a summary of the agreed test, returned outputs, deployment findings and recommended next steps.
Splunk AI Tier is the software layer that runs Splunk’s supported AI capabilities inside your own environment. It installs on qualified GPU and Kubernetes infrastructure, or on the Cisco AI POD for Splunk, keeping AI workloads and machine data on your infrastructure
Yes. Cisco’s September 15 announcement names bitsIO among partners ready on day one to help customers deploy Splunk AI on their own infrastructure. bitsIO is a five-time Splunk Partner of the Year.
SevOne is the core network performance monitoring platform. SANO, SevOne Automated Network Observability, adds machine learning and automation on top, aimed at NOCs and managed service providers that need broader, more autonomous visibility across large networks.
No. There are two paths: the pre-validated Cisco AI POD for Splunk, or standalone AI Tier software on your own qualified GPU and Kubernetes infrastructure. bitsIO deploys and validates either option based on your environment and goals.
Yes. Splunk AI Tier runs AI workloads inside your on-premises, private cloud, or air-gapped environment. Local models, prompts, and predictors execute within your own Kubernetes clusters, so sensitive machine data does not leave your network.
The POC covers infrastructure readiness, operator deployment, a functional check of an agreed AI use case, and a technical findings report. It is available to the first 15 qualified enterprises under the agreed offer terms
Splunk AI Tier can self-host open and proprietary models. Cisco has listed its Deep Time Series Model, Google Gemma, and OpenAI GPT-OSS among the supported options, with NVIDIA Nemotron models expected in the coming months.
Splunk says there is no incremental AI Tier software cost for customers with a valid Splunk Enterprise license; qualified infrastructure and deployment services are separate. You supply and operate the environment; bitsIO helps you size, deploy, and validate it.
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