VMware Private AI
(Add-on)
VMware Private AI
VMware Private AI Foundation with NVIDIA
Unlock GenAI and unleash productivity with lower TCO using this joint GenAI platform. Address privacy, choice, cost, performance and compliance concerns.
Unlock GenAI and Unleash Productivity
Enable Privacy, Security
and Compliance
Use the architectural approach for AI services that enables privacy, security and control of corporate data.
Get Accelerated
Performance
Extract the best performance from your generative AI (GenAI) models with optimized infrastructure and integrated capabilities in VMware Cloud Foundation and NVIDIA AI Enterprise.
Simplify GenAI Deployment
and Optimize Costs
Leverage special capabilities like vector databases, deep learning VMs, and more to enable seamless deployment with less effort and significant cost efficiency.
Build and Deploy Private and Secure GenAI Models
Model
Governance
Get enhanced governance and security with curated and secure LLMs with integrated RBAC.
Vector Databases for Enabling RAG Workflows
Enable fast querying of data and real-time updates to enhance outputs of LLMs with vector databases enabled by pgvector on PostgreSQL.
Self Service
and Automation
Simplify infrastructure provisioning of optimized AI platforms using automated and orchestrated catalog items.
Guided
Deployment
Repave servers and apps from a known good state every few hours.
Distributed
Resources Scheduler
Get excellent workload performance with optimal workload placement on hosts.
NVIDIA
NeMo Retriever
Enhance RAG capabilities with a collection of NVIDIA CUDA-X GenAI microservices enabling organizations to seamlessly create custom models to retrieve relevant data.
GPU Management and Optimization
Get optimized performance and costs by streamlining GPU usage with visibility of GPU resource utilization across clusters and hosts.
NVIDIA NIM
Get seamless AI inferencing at scale with a set of easy-to-use microservices designed to speed up the deployment of GenAI across enterprises.
NVIDIA NIM
Operator
Simplify RAG application deployment using NVIDIA AI workflows examples into production, without rewriting code.
NVIDIA GPU Operator
Automate lifecycle management of the software required to use GPUs with Kubernetes. Improve GPU performance, utilization and telemetry.
