NVIDIA Story
NVIDIA’s AI Factory Drives Enterprise Innovation at Scale
Objective
Like many organizations, employees across NVIDIA were quick to embrace generative AI, building and using chatbots and digital agents to drive productivity, automate tasks, and innovate faster. However, to achieve enterprise-wide deployment while mitigating shadow AI, we needed to move these early pilot projects to a unified, secure, and high-performance infrastructure, one capable of supporting a diverse, growing portfolio of AI-powered workflows—an AI factory. Our journey to deploy hundreds of AI solutions on a unified AI factory showcases how IT teams can deploy high-performance AI infrastructure connected to company data to transform business operations.
Use Case
Accelerated Computing Tools & Techniques
Key Takeaways
- Software engineering and hardware design agents performed over 30 years of work for NVIDIA engineering teams in one year.
- Supply chain agents reduced daily planning time by over 95 percent, allowing employees to dedicate time to other critical job functions.
- Hundreds of AI workflows are being onboarded onto NVIDIA’s unified AI factory.
Accelerating Enterprise Impact With AI Agents
AI agents are redefining business productivity by acting as intelligent collaborators that can plan, reason, learn, and take action. Rather than automating individual tasks, these digital coworkers help teams turn business processes into data-driven, AI-powered workflows. To realize this vision, NVIDIA built an AI factory to create a robust, reliable platform for developing, deploying, and managing AI agents at scale.
Our AI factory was built to accelerate every stage of AI agent development and operation. These digital assistants are designed to handle a wide range of complex tasks, supporting engineers who develop GPU architectures just as seamlessly as they assist sales and marketing teams to promote NVIDIA products.
Based on NVIDIA Enterprise Reference Architectures and the NVIDIA Enterprise AI Factory Validated Design, the AI factory infrastructure provides a consistent, high-performance foundation for developing and scaling AI agents. It delivers business impact by transforming isolated AI experiments into scalable, reliable engines for innovation and growth. Key advantages include reduced time to deployment, greater agility, and higher efficiency for AI workloads at every stage of the lifecycle.
Building a Scalable AI Factory
NVIDIA’s AI factory runs on NVIDIA-Certified Systems™ with the NVIDIA Blackwell architecture. This includes NVIDIA HGX™ B200 systems and NVIDIA RTX PRO™ Servers with NVIDIA Spectrum-X™ networking and NVIDIA-Certified Storage. It also leverages a comprehensive software stack, including NVIDIA Run:ai for managing and optimizing GPUs and NVIDIA AI Enterprise for building, developing, and deploying generative and agentic AI applications.
As part of their continuous optimization efforts, NVIDIA IT uses GenAI-Perf to measure and improve throughput and latency of deployed LLMs. In the process, the team developed a standardized, end-to-end benchmark framework, including for NVIDIA NIM™ deployment and system profiling. The results established a reliable performance baseline and revealed scalable deployment patterns for on-prem LLMs, strengthening operational discipline and enabling cross-functional learning.
For agentic AI development and optimization, NVIDIA’s AI factory uses NVIDIA AI Enterprise software, including NVIDIA Nemotron™ reasoning models and NIM and NeMo™ microservices. Additionally, NVIDIA GPU Operator and Network Operator are included for efficient GPU management.
The data layer is connected to NVIDIA’s entire internal knowledge base, featuring more than 1.1 billion documents that are being used by AI agents through a customized version of the NVIDIA AI Blueprint for Retrieval-Augmented Generation (RAG).
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NVIDIA’s enterprise-wide deployment shows that AI factories deliver more than incremental gains. They establish a new standard for collaboration, speed, and innovation in rolling out agentic AI throughout the company. By building an AI factory for internal use, we’ve validated the trustworthiness and impact of our AI solutions, sharing our learnings with other organizations.
Through this deployment, NVIDIA IT gained valuable insights into building and managing AI factories at scale. The team emphasized the importance of validated reference architectures, early planning for data center readiness, and close alignment between hardware and software releases. Using a consistent platform helped streamline operations and maintain security, turning what began as an experimental setup into a repeatable model for safe, enterprise-grade AI innovation.
How an AI Factory Delivers Tangible Value With Agentic AI
NVIDIA is pursuing a systematic, phased approach to onboarding AI agents built by different teams into one unified platform optimized for performance and governed by the same security, compliance, and privacy safeguards. Our teams are benchmarking and migrating critical agent workflows, such as those supporting hardware design, software engineering, and supply chain optimization.
As we continue this migration, we’re already realizing significant enterprise value from our AI agent initiatives. Transitioning early to an AI factory brings several benefits:
- Accelerated Hardware Design: AI agents completed over 16 years’ worth of hardware engineering work in a single year. These assistants supported over 100 workflows across GPU design, troubleshooting regression data, reviewing verification plans, and answering more than 1 million engineering queries.
- Streamlined Software Engineering: AI agents for software engineering completed over 18 years’ worth of development work in just over a year, spanning GPU and AI optimization libraries, hardware design and testing tools, and NVIDIA DGX™ Cloud software. This rapid delivery helps NVIDIA release new features faster for the hundreds of thousands of developers who rely on our software to build and deploy their own AI applications.
- Optimized Supply Chain Operations: Powered by cuOpt™, NVIDIA’s supply-chain AI agents automate complex planning, resolve shortages, and accelerate product allocation. Daily customer allocation planning has dropped from three hours to just 10 minutes, and weekly inventory planning shrank from 15 hours to one hour, helping to ensure more GPUs reach partners and customers faster.
"NVIDIA’s AI factory isn’t just a collection of components. It’s a new foundation for enterprise transformation. And we’re building it from the inside out."
Rama Akkiraju
VP of IT for AI, NVIDIA
Get Started With Your Own AI Factory
Streamline the development and deployment of hundreds or thousands of AI agents by bringing them onto a unified AI factory. With NVIDIA’s experience and resources, you can empower your teams with AI agents that work in a secure, corporate governance-compliant framework.
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