Run generative AI workloads on your own infrastructure — secure, scalable, and fully under your control.
VMware Private AI Foundation with NVIDIA is the enterprise platform for organizations that want the power of generative AI without sending sensitive data to public cloud providers. Built on VMware Cloud Foundation 9, it combines GPU-accelerated compute, Kubernetes-native automation, and a complete AI services layer — from model deployment to RAG pipelines and intelligent agents.
I design, implement, and operate these platforms for enterprise and government environments where data sovereignty, security, and reliability are non-negotiable.
What I deliver
GPU-Accelerated Platform Architecture
Designing and deploying GPU workload domains on VCF 9.1 — including vGPU and GPU passthrough configuration for ESX hosts, VM class design for AI workloads, and availability zone layouts optimized for Deep Learning and inference workloads.
Deep Learning VM Deployment
Setting up pre-configured Deep Learning VM environments for data scientists and MLOps engineers — deployable via self-service catalog items in VCF Automation, including NVIDIA Triton Inference Server integration and vGPU performance monitoring.
GPU-Accelerated VKS Clusters
Designing and deploying Kubernetes clusters with NVIDIA GPU Operator integration for containerized AI workloads — in both connected and fully disconnected (air-gapped) environments.
RAG Workloads & Vector Databases
End-to-end deployment of Retrieval-Augmented Generation pipelines — vector database setup, RAG workloads on Deep Learning VMs or VKS clusters, and self-service catalog automation via VCF Automation.
Private AI Services
Deploying and configuring the full Private AI Services stack:
- Model Gallery — storing and managing ML models for inference
- Model Endpoints — deploying completion and embedding models
- Knowledge Bases — connecting internal data sources for context-aware AI responses
- Agents — building generative AI applications with tool integration
- MCP Server integration — connecting specialized capabilities to your AI platform
Disconnected & Air-Gapped Environments
Full Private AI Foundation deployment in environments with no internet connectivity — including local staging of dependencies, private Harbor registry setup, and automated catalog item configuration for classified or regulated industries.
VCF Automation Self-Service Catalog
Building end-to-end self-service platforms so your teams can provision Deep Learning VMs, GPU-accelerated Kubernetes clusters, RAG workloads, and vector databases on demand — without infrastructure intervention.
Why NTPRO
- VCAP certified across all five VCF 9 disciplines: Operations, Automation, Networking, Storage, and VKS
- VMware Certified Instructor of the Year EMEA 2023
- Hands-on experience delivering Private AI platforms in large-scale mission-critical government environments
- Deep expertise across the full VCF 9 stack — from NSX networking to Kubernetes automation
