Description
Unlock Generative AI to Boost Productivity
- Prioritize Data Privacy and Security in AI Services
Implement an architectural strategy for AI services that enhances the privacy, security, and control of corporate data, protecting your organization’s information while utilizing AI advancements.
- Achieve Enhanced Performance
Maximize the potential of your Generative AI models with the integrated software and hardware capabilities of VMware Cloud Foundation and NVIDIA AI Enterprise for accelerated performance.
- Streamline Generative AI Deployment and Reduce Costs
Utilize specialized features such as vector databases and deep learning VMs to achieve a simplified deployment experience while ensuring significant cost efficiency.
Develop and Implement Private and Secure Generative AI Models
Accelerated Guided Deployment: Achieve significantly faster deployment speeds through guided deployment of workload domains and their associated components, streamlining your setup process.
Vector Databases for Optimizing RAG Workflows: Facilitate rapid data querying and real-time updates to improve the outputs of large language models (LLMs) using vector databases powered by pgvector on PostgreSQL.
Catalog Setup Wizard: Streamline the infrastructure provisioning process for complex projects using curated and optimized AI infrastructure catalog items to enhance efficiency and ease of setup.
GPU Monitoring for Performance Optimization: Enhance performance and reduce costs by streamlining GPU usage through comprehensive visibility into GPU resource utilization across clusters and hosts.
Preconfigured Deep Learning VM Templates: Enhance the consistency of your environment with ready-to-use deep learning virtual machine templates designed for streamlined setup and deployment.
NVIDIA Nemo Retriever: Boost your RAG capabilities with a suite of NVIDIA CUDA-X Generative AI microservices that enable organizations to effortlessly integrate custom models with various business data sources.
NVIDIA NIM Operator: Streamline RAG application deployment by leveraging NVIDIA AI workflow examples for production, enabling you to implement solutions without the need to rewrite code.
NVIDIA NIM: Achieve seamless AI inferencing at scale with a collection of user-friendly microservices designed to accelerate the deployment of Generative AI across enterprises.
NVIDIA GPU Operator: Automate the lifecycle management of software necessary for GPU utilization with Kubernetes, enhancing GPU performance, utilization, and telemetry for optimal efficiency.