Enterprise Knowledge Search · IT Operations Automation · Supply Chain Optimization
NVIDIA needed to move employee-built chatbots and agents out of shadow-AI pilots and onto a unified, secure, high-performance platform that could support hundreds of governed AI workflows across engineering, software delivery, and supply-chain operations.
Reported impact
NVIDIA reports that hardware-design agents completed over 16 years of work in one year, software-engineering agents completed over 18 years of work in just over a year, more than 100 engineering workflows and 1 million queries are already supported, and supply-chain planning dropped from hours to minutes on the unified platform.
NVIDIA built an internal AI factory to standardize how agentic AI is developed, deployed, and governed across the company. The platform runs on NVIDIA-Certified Systems using Blackwell-based HGX B200 infrastructure, RTX PRO Servers, Spectrum-X networking, and certified storage, with Run:ai managing GPU allocation and AI Enterprise, Nemotron models, NIM, NeMo, GPU Operator, and Network Operator providing the software control plane. A customized RAG blueprint connects the data layer to more than 1.1 billion internal documents so agents can reason over company knowledge while staying inside one security and compliance boundary. This lets hardware-design, software-engineering, and supply-chain agents share a common reference architecture rather than bespoke stacks. By turning isolated experiments into a repeatable AI factory, NVIDIA created a single enterprise platform for high-throughput deployment, benchmarking, governance, and cross-functional learning.
Internal knowledge, engineering signals, and operational data are grounded through the customized RAG layer, consumed by agents running on the unified AI factory, and returned as hardware, software, and supply-chain decisions inside one governed enterprise platform.
AI agents completed over 16 years’ worth of hardware engineering work in a single year.
Daily customer allocation planning has dropped from three hours to just 10 minutes, and weekly inventory planning shrank from 15 hours to one hour
The data layer is connected to NVIDIA’s entire internal knowledge base, featuring more than 1.1 billion documents
we needed to move these early pilot projects to a unified, secure, and high-performance infrastructure
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Scoring methodology
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Traceability
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