NVIDIA AI Enterprise
Today, companies face the challenge of not only developing AI models, but also integrating them securely, stably and scalably into their business operations. NVIDIA AI Enterprise is the leading cloud-native software platform that closes this gap. It acts as the ‘operating system’ for AI that modern companies need to move from simple experiments to AI-driven value creation.
A consistent stack for maximum efficiency
NVIDIA AI Enterprise offers a fully optimised software stack that reduces the complexity of AI infrastructure and maximises performance. The platform is designed to run wherever your data is: in your own data centre, in the cloud or at the edge.
NVIDIA NIM: Redefining inference
At the heart of the platform are NVIDIA NIMs (Inference Microservices). These offer a standardised method for putting AI models into production:
- Ready to use: Optimised containers for leading models such as Llama, Mistral and Nemotron.
- Industry-leading performance: Integrated engines such as TensorRT-LLM ensure that models run with minimal latency and maximum throughput.
- Easy integration: Thanks to standard APIs, NIMs can be seamlessly integrated into existing applications and workflows.
Development of autonomous AI agents
The platform enables the transition from passive chatbots to active AI agents (Agentic AI). With NIM Agent Blueprints, NVIDIA provides ready-made reference workflows that serve as the basis for complex solutions:
- Data-driven Insight: Agents that independently analyse databases and generate reports.
- Digital Humans: AI-powered avatars for natural interaction in real time.
- Cybersecurity: Automated detection and response to threats through specialised AI workflows.
Enterprise-scale security and control
Unlike open-source solutions, NVIDIA AI Enterprise offers the security required for enterprise use:
- GPU Shield: Protects the inference pipeline in real time against manipulation and prompt injections.
- Sovereignty: Companies retain full control over their data and models, as the platform can be operated completely isolated within their own infrastructure.
- Long-Term Support (LTS): Guaranteed stability and regular security updates for productive workloads over several years.
Performance advantages at a glance
Using the NVIDIA AI Enterprise platform leads to measurable efficiency gains across the entire AI:
| pipeline | Technology Area | Impact |
| Data processing | NVIDIA RAPIDS™ | Up to 100x faster data preparation compared to CPUs. |
| Model adaptation | NVIDIA NeMo™ | Efficient fine-tuning of LLMs with integrated guardrails. |
| Inference | NVIDIA Triton™ & NIM | Scalable deployment of various model types on a unified basis. |
Flexibility through ‘Run Anywhere’ certification
NVIDIA AI Enterprise is validated for both cloud and on-premises systems. This flexibility allows companies to dynamically adapt their AI strategy:
hybrid cloud capability
Develop locally and scale to the cloud as needed—without code changes.
Optimised hardware utilisation
The software is specially tailored to the Hopper and Blackwell architectures in order to get the most out of each computing core.
The software platform for generative AI in companies
The basis for scalable AI successNVIDIA AI Enterprise takes the complexity out of AI implementation and replaces it with performance, security and stability. It is the strategic solution for companies looking for a future-proof infrastructure for the next generation of artificial intelligence.
FAQ: NVIDIA AI Enterprise – Everything you need to know
NVIDIA AI Enterprise is a cloud-native software platform that optimises the entire workflow from development to production of AI in the enterprise. It includes over 100 frameworks, pre-trained models and microservices (such as NVIDIA NIM) that are specifically certified for security, stability and maximum performance on NVIDIA GPUs.
- Fast data processing with NVIDIA RAPIDS™ accelerator for Apache Spark
Develop custom generative AI with NVIDIA NeMo, an end-to-end platform that delivers enterprise-ready models with accurate data curation, innovative customisation, RAG and accelerated performance.
- Large-scale inference with NIMs based on NVIDIA TensorRT™, TensorRT-LLMs and NVIDIA Triton™ Inference Server
Manage AI clusters at scale, at the edge and in the data centre, with NVIDIA Base Command™ Manager Essentials.
- What are NVIDIA NIMs?
NIM stands for NVIDIA Inference Microservices. These are optimised software containers that enable AI models (such as Llama 3 or Mistral) to be deployed with a single command. They already contain the necessary inference engine (e.g. TensorRT) and offer standard APIs so that developers can integrate AI functions without in-depth expert knowledge.
- Why do I need the platform when there is open-source AI?
While open-source software is ideal for experimentation, NVIDIA AI Enterprise offers the enterprise-grade security and reliability required for business operations:
- Guaranteed support: Access to NVIDIA experts and SLAs.
- Security patches: Proactive scanning and remediation of vulnerabilities.
- API stability: Long-term support (LTS) prevents applications from suddenly failing during software updates.
- Can I also use NVIDIA AI Enterprise in my own data centre?
Yes. The platform is designed for a ‘run anywhere’ approach. It runs on bare metal servers, in virtual environments (e.g. VMware vSphere) or in hybrid scenarios. This allows companies to process sensitive data locally while taking advantage of state-of-the-art AI software.
- What does ‘agentic AI’ mean in the context of this solution?
Agentic AI refers to autonomous AI agents that can plan and execute task chains independently (rather than just responding to questions). The platform offers so-called NIM Agent Blueprints for this purpose – ready-made reference workflows that companies can use to build agents for customer support, supply chain optimisation or software development more quickly.
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FAQ - NVIDIA AI Enterprise
- What is the difference between the open source software and NVIDIA AI Enterprise?
NVIDIA AI Enterprise is based on open source and is curated, optimised and supported by NVIDIA. It not only provides the benefits of open source software such as transparency and cutting-edge innovation, but also takes care of maintaining security and stability with ever-growing software dependencies. With enterprise support that provides service level agreements, NVIDIA AI Enterprise is a secure and reliable platform for organisations to accelerate their AI journey.
- How much does NVIDIA AI Enterprise cost?
The pricing and licence options can be found in the Pack, Pricing and Licensing Guide.
- How can I buy NVIDIA AI Enterprise?
You can purchase NVIDIA AI Enterprise through the NVIDIA Partner Network and Cloud Marketplaces. Contact NVIDIA if you have any questions about your purchase.
- How does NVIDIA AI Enterprise provide security and stability?
NVIDIA AI Enterprise offers several software branches to maintain security and stability for the desired software lifecycle, including:
- Production branches: 9-month useful life with monthly security patches and API stability. This is ideal for deploying AI in production when stability is required.
- Long-term support areas: 3-year lifecycle with quarterly security patches and API stability. This is ideal for highly regulated industries.
NVIDIA AI Enterprise customers also receive security recommendations and vulnerability exploitation information from NVIDIA, including Vulnerability Exploitability eXchange (VEX) and Software Bill of Materials (SBOM), vulnerability context and remediation guidance.
- What does the company support offer?
Each NVIDIA AI Enterprise licence includes Business Standard Support with service level agreements, live access to NVIDIA agents, 24/7 case tracking, software branches, updates and releases, knowledge base resources and much more. Optional support upgrades, including Business Critical Support and Technical Account Manager, are available. More info >
- What kind of software is included with NVIDIA AI Enterprise?
NVIDIA AI Enterprise includes NVIDIA NIM, AI frameworks, reference applications and workflows, SDKs, libraries, infrastructure management and more. Read the Pack, Pricing and Licensing Guide for a complete list.
- What does the NGC catalogue offer?
The NGC catalogue offers a comprehensive collection of GPU-optimised containers for AI, machine learning and HPC that are tested and ready to run on NVIDIA GPUs locally, in the cloud or at the edge. In addition, the catalogue offers pre-trained models, model scripts and industry solutions that can be easily integrated into existing workflows.
- What challenges are made easier with the NGC catalogue?
Compiling and deploying deep learning frameworks is time-consuming and error-prone. Optimising AI software requires expertise. Expertise, time and computing resources are required to create models. The NGC catalogue addresses these challenges with GPU-optimised software and tools so that data scientists, developers, IT and users can focus on developing their solutions.
- What is contained in the containers of the NGC catalogue?
Each container comes with a pre-integrated set of GPU-accelerated software. The stack includes the selected application or framework, the NVIDIA CUDA® toolkit, accelerated libraries and other required drivers, all of which have been tested and optimised to work together out of the box without any additional setup.
- Which AI software is available in the NGC catalogue?
The NGC catalogue includes world-class AI software, including TensorFlow, PyTorch, MxNet, NVIDIA TensorRT, RAPIDS™ and much more. Discover the full list in the NGC catalogue.
- Where can I run the software from the NGC catalogue?
The NGC containers run on PCs, workstations, HPC clusters, NVIDIA DGX systems, on NVIDIA GPUs from supported cloud providers and in NVIDIA-certified systems. The containers are executed in Docker and Singularity runtime environments. Further information can be found in the NGC documentation.
- How can I run containers from the NGC catalogue with a cloud service provider?
NVIDIA offers image files for virtual machines in the Marketplace section of any supported cloud service provider. To run an NGC container, simply select the appropriate instance type, run the NGC image and drag in the container from the NGC catalogue. The exact steps vary depending on the cloud provider, but you can find step-by-step instructions in the NGC documentation.
- How often are AI containers from the NGC catalogue updated?
The most popular deep learning software, such as TensorFlow, PyTorch and MXNet, are updated monthly by NVIDIA engineers to optimise the entire software stack and get the most out of your NVIDIA GPUs.
- If the AI containers are downloaded free of charge, do I have to pay for the computing time?
The containers from the NGC catalogue can be downloaded free of charge (in accordance with the terms of use). However, each cloud service provider has its own prices for GPU computing instances for execution in the cloud.
- Is the NGC a cloud computing platform?
No, it is a portal for the provision of GPU-optimised software as well as enterprise services and software.
- What is the NGC Private Registry?
The NGC Private Registry is designed to provide users with a secure space to store and share custom containers, models, model scripts and Helm charts within the organisation. With the Private Registry, users can protect their IP addresses while fostering collaboration.
- What support does NVIDIA offer for these AI containers?
Users have access to the NVIDIA Developer Forum. The forum's large community includes AI and GPU experts who are customers, partners or employees of NVIDIA.
In addition, NGC support services provide L1 to L3 level support for NVIDIA certified systems available through our OEM partners.
- What is an NVIDIA-certified system?
NVIDIA-certified systems, consisting of NVIDIA EGX™ and HGX™ platforms, enable organisations to confidently select performance-optimised hardware and software solutions that run their AI workloads securely and optimally - both in smaller configurations and at scale. View the full list of NVIDIA-certified systems.