What if your infrastructure team had domain-specific GPTs, each running locally on a dedicated Nutanix AHV AI cluster?

Through the Nutanix Design Assistant architecture, I’ve validated a design for an air-gapped infrastructure capable of hosting multiple self-contained GPTs on the same Nutanix AHV cluster no cloud, no latency, no SaaS costs.

Here's what that unlocks for any enterprise running Nutanix AHV:

Your internal GPT stack:

• Nutanix Design Assistant – cluster sizing, deployment patterns, Calm blueprint support

• Commvault Design Assistant – backup strategy, retention policy design, recovery workflows

• NetApp Design Assistant – volume planning, ONTAP tuning, SnapMirror logic

• Ansible Design Assistant – playbooks, roles, inventory logic, multi-environment support

• Red Hat Enterprise Design Assistant – RHEL profiles, Satellite use, tuning guides

• Network Design Assistant – logical segmentation, routing, L2/L3 validation

• Cyber Sentry – config audits, anomaly detection, CIS/STIG mapping

• Intelligent Enterprise & Cloud Architect – app modernization, FinOps alignment, hybrid cloud mapping

• Datacenter Operations Expert – firmware baselines, patch cadence, lifecycle workflows, energy efficiency tips

All self-hosted, inferencing-capable GPT’s using Ollama with LLaMA2/Mistral, running in isolated VMs or containers.

• Managed through Prism Central, Calm, and Flow

• Fully audit-friendly with air-gap option

• No public cloud dependency

No SaaS dependency. Fully auditable. You control the context, retention, and security. Could this augment your team's capability? I'd be interested in your feedback.