NVIDIA is partnering with several major computer companies to help businesses move from traditional computing systems to more powerful and efficient GPU-based hardware to better handle today’s large and demanding workloads. The proposed moves would happen using NVIDIA’s new RTX Pro servers that are powered by its Blackwell architecture.
Announced at Computex 2025, these new servers are designed to handle all kinds of business workloads — from AI assistants to simulations and design work — without needing special cooling or excessive power.
Basically, NVIDIA is making it easier for companies to use the same powerful technology that runs advanced AI systems like ChatGPT in their everyday business operations. This is yet another example of how companies are adapting (fast) to how AI is transforming things, and how work gets done across the board.
“AI is revolutionizing every industry — every company will build or rent AI factories to run their businesses and power the intelligence of their products,” said Jensen Huang, founder and CEO of NVIDIA. “With our global partner ecosystem, we’re helping enterprises infuse AI into their workforce, automate their factories, and build AI-native products.”
Dell, HPE, Lenovo, and Cisco will be the first vendors to offer these systems starting this summer, with Advantech, Asus, Foxconn, Gigabyte, and Supermicro also joining as partners.
Ready-made blueprints for AI integration
Recognizing the need for easier integration, NVIDIA has developed two key blueprints. The ‘Enterprise AI Factory’ (supported by Dell, HPE, VMware, Accenture, and others) provides a comprehensive solution for building AI capabilities within company data centers, integrating RTX Pro 6000 graphics chips with necessary networking, storage, and software.
The new RTX Pro 6000 Blackwell is basically the Swiss Army knife of data center chips. It’s designed to handle everything a modern business could throw at it, whether it’s running complex AI systems that process text, images, and video, simulating physical environments, designing products, crunching scientific data, or handling graphics-heavy applications.
Complementing this is the AI Data Platform (backed by IBM, NetApp, Pure Storage, and more), which focuses on bridging the gap between existing corporate storage and NVIDIA’s powerful computing resources.
“NVIDIA ecosystem partners are building products, software, and services to speed the enterprise IT shift to accelerated AI factory infrastructure,” said NVIDIA in its statement about the announcement.
The tidal wave of AI’s business impact
Ultimately, NVIDIA’s efforts are lowering the barrier for businesses to leverage advanced AI. This acceleration of its integration into everyday operations speaks to the wallop that AI is already packing – to businesses and how they operate, but also in general.
This isn’t the first time NVIDIA has delved into scaling AI adoption. Back in October, Accenture and Nvidia announced an expansion of their partnership with a new AI platform and business group, aiming to scale agentic AI adoption and transform enterprise operations globally. Read more here.