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VMware Private AI Foundation

Joint enterprise GenAI platform from Broadcom and NVIDIA running LLM fine-tuning, RAG workflows, and inference on private cloud infrastructure with NVIDIA GPUs.

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VMware Private AI Foundation with NVIDIA is the joint enterprise GenAI platform combining VMware Cloud Foundation, NVIDIA AI Enterprise, vGPU virtualization, vector database, model store, and deep learning VMs to run private GenAI workloads on-premises.

Top Features

Joint Broadcom & NVIDIA platform

Built on VMware Cloud Foundation with NVIDIA AI Enterprise software, integrated vGPU virtualization, and NVIDIA NIM microservices, delivering bare-metal-class performance for inference.

vGPU sharing & GPU monitoring

NVIDIA vGPU lets multiple VMs share physical GPUs for maximum utilization, with VCF Operations providing real-time GPU monitoring at host, cluster, and VM levels with utilization metrics.

Built-in Private AI Services

Bundled Private AI Services include Vector Database, Deep Learning VMs, Model Store, Model Runtime, AI Agent Builder, and Data Indexing and Retrieval Service for GenAI deployment.

Beyond licensing, a seamless, fully supported VMware Private AI Foundation experience with Discreet Vision.

Why Your Business Needs VMware Private AI Foundation

Private AI Foundation isn't just AI infrastructure, it's the joint Broadcom and NVIDIA GenAI platform combining VCF, NVIDIA AI Enterprise, vGPU sharing, vector databases, and deep learning VMs for private workloads.

Privacy & Compliance: Run GenAI workloads adjacent to your proprietary data on-premises with full control over data sovereignty, addressing regulatory compliance for finance, healthcare, and government sectors.

Bare-Metal Performance: NVIDIA accelerated infrastructure with NVLink, NVSwitch, and DirectPath I/O delivers performance equal to or exceeding bare metal while preserving familiar VCF operations like vMotion and HA.

Lower TCO Through Sharing: vGPU technology lets multiple AI workloads share physical NVIDIA H100 and H200 GPUs, dramatically improving utilization and TCO compared to dedicated bare-metal AI servers.

End-to-End GenAI Stack: Pre-integrated stack including NVIDIA NeMo, NIM microservices, vector databases, RAG workflows, model store, and deep learning VMs lets data scientists deploy GenAI faster.

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Built for how enterprises run private generative AI workloads at scale.

Everything your business needs to run private generative AI workloads at scale, delivered in one joint Broadcom and NVIDIA platform covering VCF, NVIDIA AI Enterprise, vGPU virtualization, vector database, deep learning VMs, NIM microservices, and AI Agent Builder.

NVIDIA AI Enterprise & GPU Stack

VMware Private AI Foundation with NVIDIA combines VMware Cloud Foundation with the NVIDIA AI Enterprise software suite including NVIDIA NeMo for LLM customization, NIM microservices for AI inference, NVIDIA AI Workbench, and TensorRT-LLM for inference performance optimization. The platform supports NVIDIA H100, H200, and L40S GPUs along with HGX systems featuring NVLink, NVSwitch, and BlueField-3 DPUs for multi-node training. NVIDIA AI Enterprise licenses are purchased separately.

vGPU Virtualization & GPU Monitoring

NVIDIA vGPU allows physical GPUs to be shared across multiple virtual machines, dramatically improving utilization and TCO for AI workloads compared to dedicated bare-metal servers running idle. The platform supports up to 16 vGPUs per VM and scales across multiple nodes for large model training. VCF Operations delivers real-time GPU monitoring at host, cluster, and VM levels including utilization, memory pressure, and slowdown thresholds, helping admins optimize TCO faster.

Private AI Services Suite

Embedded Private AI Services include Vector Database (Postgres with pgvector), Deep Learning VM templates pre-loaded with PyTorch, TensorFlow, and CUDA libraries, Model Store with RBAC for governance and curation of approved LLMs, Model Runtime for inference deployment, AI Agent Builder for agentic workflows, and Data Indexing and Retrieval Service for RAG pipelines. These services let MLOps teams and data scientists deploy GenAI workloads using familiar VCF operational workflows.

RAG Workflows & LLM Customization

Pre-integrated retrieval-augmented generation pipelines let enterprises ground LLM responses in their proprietary data, with the Vector Database storing embeddings and the Data Indexing and Retrieval Service automatically chunking, indexing, and vectorizing internal documents including PDFs, CSVs, Office files, and wiki pages. NVIDIA NeMo framework and NIM microservices enable fine-tuning open models like Llama, Falcon, and Mistral on your data while preserving model weights privacy.

Familiar VCF Operations & Compliance

Private AI Foundation runs on top of VCF and inherits all enterprise virtualization features including vMotion live migration with under 1 second of stun time on GPUs, High Availability, Distributed Resource Scheduler, Live Patching, and snapshot-based DR. Network security from NSX delivers micro-segmentation and isolation for sensitive AI workloads, while VCF Automation handles workload domain provisioning and Quickstart Guide automates AI deployment in disconnected environments.

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Best pricing, seamless setup, deployment assistance, and dedicated support from Discreet Vision.

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VMware Private AI Foundation