VMware Private AI FoundationVMware
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Related Products
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About
NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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About
VMware Private AI Foundation is a joint, on‑premises generative AI platform built on VMware Cloud Foundation (VCF) that enables enterprises to run retrieval‑augmented generation workflows, fine‑tune and customize large language models, and perform inference in their own data centers, addressing privacy, choice, cost, performance, and compliance requirements. It integrates the Private AI Package (including vector databases, deep learning VMs, data indexing and retrieval services, and AI agent‑builder tools) with NVIDIA AI Enterprise (comprising NVIDIA microservices like NIM, NVIDIA’s own LLMs, and third‑party/open source models from places like Hugging Face). It supports full GPU virtualization, monitoring, live migration, and efficient resource pooling on NVIDIA‑certified HGX servers with NVLink/NVSwitch acceleration. Deployable via GUI, CLI, and API, it offers unified management through self‑service provisioning, model store governance, and more.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Enterprises, AI/ML teams and ISVs in search of a solution to deploy high-performance GPU-accelerated workloads while ensuring hardware-based confidentiality, integrity and scalability
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Audience
IT architects and AI/ML platform teams who need a secure, private‑cloud infrastructure to deploy, manage, and scale generative AI and LLM workloads in their own data centers
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/data-center/solutions/confidential-computing/
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Company InformationVMware
Founded: 1998
United States
www.vmware.com/products/cloud-infrastructure/private-ai-foundation-nvidia
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Categories |
Categories |
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Integrations
Azure Confidential Computing
Blackwell Security
CUDA
Google Cloud Platform
Hugging Face
NVIDIA DRIVE
NVIDIA NIM
PostgreSQL
VMware Cloud
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Integrations
Azure Confidential Computing
Blackwell Security
CUDA
Google Cloud Platform
Hugging Face
NVIDIA DRIVE
NVIDIA NIM
PostgreSQL
VMware Cloud
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