NVIDIA AI Enterpriseincludes best-in-class development tools, frameworks, and pre-trained models for AI practitioners, and reliable management and orchestration for IT professionals to ensure performance, high availability, and security.

With NVIDIA AI Enterprise, customers get support and access to the following:

• NVIDIA NIM and CUDA-X microservices, which provide an optimized runtime and easy to use building blocks to streamline generative AI development.
• NVIDIA NeMo, an end-to-end framework for organizations to easily customize pretrained NVIDIA AI Foundation models and select community models for domain-specific use cases based on business data.
• NVIDIA Riva, a GPU-accelerated multilingual speech and translation AI SDK.
• Continuous monitoring and regular releases of security patches for critical and common vulnerabilities and exposures (CVEs).
• Production releases that ensure API stability.
• NVIDIA Maxine, a developer platform for deploying AI features that enhance audio, video, and add augmented reality effects in real time.
• NVIDIA AI Workflows, cloud-native, packaged reference applications that include pretrained models, training and inference pipelines, Jupyter Notebooks, and Helm Charts to accelerate the path to delivering AI solutions . Only available with NVIDIA AI Enterprise subscription.
• Frameworks and tools to accelerate AI development (PyTorch, TensorFlow, NVIDIA RAPIDS, TAO Toolkit, TensorRT, and Triton Inference Server)
• Healthcare-specific frameworks and applications including NVIDIA Clara MONAI and NVIDIA Clara Parabricks.
• NVIDIA RAPIDS Accelerator for Apache Spark to speed up Apache Spark 3 data science pipelines and AI model training.
• Support for all NVIDIA AI software published on the NGC public catalog labeled with NVIDIA AI Enterprise Supported.
• The NVIDIA AI Enterprise marketplace offer also includes a VMI which provides a standard, optimized run time for easy access to the above mentioned NVIDIA AI Enterprise software and ensures development compatibility between clouds and on premises infrastructure. Develop once, run anywhere.

• NVIDIA AI Enterprise Catalog access script
• Ubuntu Server 22.04
• NVIDIA vGPU Driver
• Docker-ce
• NVIDIA Container Toolkit
• AWS CLI, NGC CLI
• Miniconda, JupyterLab (within conda base env), Git

• Enterprise grade support and SLAs provided directly from NVIDIA
• Access to NVIDIA AI experts from 8am-5pm local business hours for guidance on configuration and performance
• Priority notifications for the latest security fixes and maintenance releases
• API stability and long-term support for up to 3 years on designated software branches

• Designated Technical Account Manager (TAM)