NVIDIA Corporation has announced that it is expanding its partnerships with artificial intelligence (AI) infrastructure ecosystem to transform traditional data centers into fully integrated AI factories.

According to NVIDIA’s VP of Accelerated Computing Ian Buck, the company is developing reference designs to be shared with partners and enterprises worldwide. Therefore, offering an NVIDIA Omniverse Blueprint for building high-performance, energy-efficient infrastructure optimized for the age of AI reasoning.

Already, NVIDIA is collaborating with scores of companies across every layer of the stack, from building design and grid integration to power, cooling and orchestration.

Strengthens Partnership

NVIDIA, along with a number of industrial and technology partners, is reactivating decades of infrastructure expertise to build this new class of AI factories.

One partner is Jacobs, which will advance data centers via NVIDIA’s Omniverse Blueprint for AI. This will improve the design, simulation, deployment, and operations of AI factoriers.

The embodiment of the reference design will be a digital twin of the AI factory. This digital twin integrates the IT systems inside the data center with the operational technology for power and cooling systems inside and outside the data center.

The new initiative expands the digital twin to integrate local power generation, energy storage systems, cooling technology and AI agents for operations.

NVIDIA is also partnering with longtime collaborators in power and cooling. These are Schneider Electric, Siemens, and Vertiv, which have been instrumental in environments tailored for AI-scale workloads.

Particularly, Siemens and Siemens Energy plays a critical role in on-premises power delivery. GE Vernova collaborates in power generation and electrification to the rack.

These companies, along with a growing ecosystem of specialists in infrastructure design and simulation, and orchestration — including Cadence, Emerald AI, E Tech Group, phaidra.ai, PTC, Schneider Electric with ETAP, Siemens, and Vertech. They are helping NVIDIA activate a system-level transformation.

Achieving System-Level Optimization

Currently, buildings in data center paradigm are often designed independently of the compute platforms they house. Hence, leading to inefficiencies in power distribution, cooling, and system orchestration. The challenge now is how to optimize every watt of energy that enters the facility so that it contributes directly to intelligence generation.

This is the challenge NVIDIA and its partners aim to address. Specifically, by designing the infrastructure and technology stack in tandem, the company enables true system-level optimization — where power, cooling, compute and software are engineered as a unified whole.

Simulation plays a central role in this shift. Companies will be able to share simulation-ready assets, allowing designers to model components in Omniverse using AI factory digital twins even before they’re physically available.

These digital twins not only optimize AI factories before they’re built — they also help manage them once they’re operational. By adopting the OpenUSD framework, the simulation platform can accurately model every aspect of a facility’s operations, from power and cooling to networking infrastructure.

Therefore, AI factories must be plugged into broader systems — power grids, water supplies and transportation networks — that require careful coordination and simulation throughout their lifecycle to ensure reliability and scalability.

Expanding Omniverse Blueprint for AI Factory

Earlier this year, NVIDIA introduced an Omniverse Blueprint for AI factory digital twins. This blueprint connects platforms like Cadence and ETAP, allowing partners to plug in their core tools to model gigawatt-scale facilities before a single physical AI factory site has even been selected.

More recently, the company expanded its ecosystem with integrations from Delta, Jacobs, Siemens and Siemens Energy, enabling unified simulation of power, cooling and networking systems.

NVIDIA and partners plan to complete the blueprint next year. This will allow all partners to plug into the system via application programming interfaces and simulation-ready digital assets. Therefore, enabling real-time collaboration and orchestration across the entire lifecycle — from design to deployment to operation.

11 September 2025