NVIDIA AI Enterprise Software Subscription (per GPU, annual)

NVIDIA AI Enterprise is a full-stack, cloud-native software platform designed to streamline the development, deployment, and management of production-grade AI and machine learning workloads on certified NVIDIA-accelerated infrastructure. The subscription (part number 731-AI7000+P2CMI12) is licensed on a per-GPU, annual basis and provides enterprises with access to a curated, security-reviewed, and performance-optimized collection of AI frameworks, pretrained models, and MLOps tools—all supported under NVIDIA's enterprise-grade support SLA. The platform spans the entire AI workflow, from data preparation and model training through inference serving and monitoring, and is validated to run on certified servers from leading brands across on-premises, hybrid, and major public cloud environments.

At its core, NVIDIA AI Enterprise delivers containerized software through the NGC catalog, including optimized builds of TensorFlow, PyTorch, RAPIDS, TensorRT, Triton Inference Server, and the NVIDIA NeMo framework for large language model development. The subscription also gates access to NVIDIA NIM (NVIDIA Inference Microservices), which packages optimized AI models as portable, OCI-compliant microservices with production-ready APIs, enabling rapid integration of capabilities such as generative AI, computer vision, and speech AI into enterprise applications. All containers are digitally signed, scanned for Common Vulnerabilities and Exposures (CVEs), and updated on a regular cadence to maintain a hardened software supply chain.

NVIDIA AI Enterprise is a mandatory software entitlement attached to supported GPU deployments when organizations require production support, NIM access, or compliance with NVIDIA's enterprise support terms. The subscription includes 24×7 enterprise support with access to NVIDIA's AI experts, tools for multi-node orchestration via Kubernetes-native operators (including the NVIDIA GPU Operator and Network Operator), and integration with leading MLOps platforms. It is purpose-built for organizations operating AI at scale in regulated or mission-critical environments where software provenance, stability, and vendor accountability are non-negotiable requirements.

Ideal for

• Deploying NVIDIA NIM microservices to serve large language models (LLMs) such as Meta Llama and NVIDIA's own models via standardized OpenAI-compatible REST APIs within enterprise Kubernetes environments
• Accelerating model training and fine-tuning pipelines for natural language processing, computer vision, and recommender systems using optimized NGC containers for PyTorch and TensorFlow on on-premises GPU clusters
• Running GPU-accelerated data analytics and feature engineering at scale using RAPIDS (cuDF, cuML, cuGraph) within existing Apache Spark or Dask workflows in financial services and life sciences data platforms
• Operationalizing multi-model inference at high throughput and low latency using NVIDIA Triton Inference Server with dynamic batching, model ensembles, and concurrent model execution for real-time decision systems
• Standardizing AI infrastructure across hybrid cloud environments by deploying the NVIDIA GPU Operator and Network Operator to automate driver, runtime, and device plugin lifecycle management within enterprise Kubernetes clusters
• Developing and deploying domain-specific generative AI applications—including retrieval-augmented generation (RAG) pipelines—using NVIDIA NeMo and NIM within regulated industries such as healthcare, financial services, and public sector

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.