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NVIDIA RTX PRO Servers Adopted to Power AI, Simulation Tasks

by | Aug 28, 2025

AI-ready servers with Blackwell GPUs deliver 4x faster performance for AI, simulation, and digital twin tasks. Companies are adopting them to minimize costs, improve efficiency, and speed up AI deployment across manufacturing, healthcare, automotive, and cloud sectors.
Image: NVIDIA

Enterprises are upgrading to AI-focused data centers without tearing out existing infrastructure. NVIDIA RTX PRO Servers, powered by RTX PRO 6000 Blackwell Server Edition GPU, are driving this shift from general-purpose computing to AI-ready platforms.

“The age of AI has arrived – and enterprises can no longer rely on classical servers alone. They must rearchitect for AI,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA RTX PRO is the computing platform built for this moment – running today’s IT workloads while powering the AI agents that will transform every company and every industry.”

Industry Leaders Tap RTX PRO for AI Acceleration

RTX PRO Servers use the NVIDIA Blackwell architecture to deliver universal acceleration for enterprise AI workloads spanning agentic and physical AI to design, scientific computing, simulation, graphics and video applications.

Disney, Foxconn, Hitachi, Hyundai Motor Group, Lilly, SAP and TSMC are among the first to adopt the servers to accelerate AI, design and simulation applications. The stakeholders say:

  • Josh D’Amaro, chairman of Disney Experiences: “At Disney, we’re continually redefining what’s possible for immersive storytelling and guest experiences. This incredible technology will allow us to bring our breadth of stories to life in spectacular detail and faster than ever before. The best example of this is our upcoming update to Millennium Falcon: Smugglers Run at Disneyland and Walt Disney World, where we partnered with NVIDIA to create a blockbuster-caliber experience debuting the same day as ‘The Mandalorian and Grogu’ film.”
  • Young Liu, chairman of Foxconn: “Achieving digital transformation in smart manufacturing requires the right foundation and technology. By introducing RTX PRO Servers into our global infrastructure, Foxconn is redefining the boundaries of AI-driven automation — from sophisticated robotics to intelligent logistics and smart electric vehicles.”
  • Toshiaki Tokunaga, president and CEO of Hitachi Ltd: “Hitachi will further accelerate AI innovation by leveraging NVIDIA RTX PRO Servers. NVIDIA RTX PRO Servers enable the digital twin and optimization of physical assets, including social infrastructure, through the acceleration of AI reasoning and physical AI, while also unlocking new possibilities such as improving productivity across overall business activities. Moving forward, Hitachi will deepen its partnership with NVIDIA to solve challenges faced by customer companies and society, continuously delivering value.”
  • Heung-Soo Kim, executive vice president and head of the Global Strategy Office at Hyundai Motor Group: “Hyundai Motor Group will leverage NVIDIA’s cutting-edge AI infrastructure, including RTX PRO Servers, in the digital twin field to accelerate technological innovation. The partnership will focus on establishing a virtual testbed for manufacturing processes to reduce new factory construction time, while also creating a virtual mobility environment for autonomous driving technology verification.”
  • Diogo Rau, chief information and digital officer of Lilly: “At Lilly, we bring innovative medicines to the people who need them. We do that by pushing the boundaries of science through technology. The universe of possible medicines is enormous. GPUs can help us explore this expansive space, reaching places humans might never look.”
  • Christian Klein, CEO of SAP: “Secure SAP Cloud Infrastructure empowers enterprises and governments to harness the transformative power of SAP Business AI — all while retaining full control over their data and operational processes. Bringing together RTX PRO Servers and SAP Cloud Infrastructure marks a new chapter in our longstanding collaboration with NVIDIA to enable enterprises to define their AI-powered future.”
  • C.C. Wei, chairman and CEO of TSMC: “Semiconductors are the backbone of AI, empowering breakthroughs that are redefining every industry. Through our close partnership with NVIDIA, TSMC is advancing semiconductor manufacturing and optimizing our fab operations with Blackwell-powered AI factories, including the utilization of the latest RTX PRO Servers — driving efficiency and innovation throughout the industry.”

In manufacturing, PEGATRON, Quanta Cloud Technology (QCT), Siemens, and Wistron are deploying the systems to advance factory automation and digital simulation. PubMatic, a digital advertising company, is using RTX Pro Servers to power AI use cases in connected TV, commerce media networks, and mobile apps. Northrop Grumman is integrating the servers to accelerate AI across enterprise workflows, with a focus on productivity and performance. Amdocs is rolling out RTX Pro Servers to run the reasoning layer of its amAIz agents, aimed at improving telecom customer experiences. In electronic design automation, Cadence, Siemens EDA, and Synopsys plan to use the servers to speed AI-driven simulation across silicon and systems.

RTX PRO Servers Accelerate Workloads With Data Center Flexibility

RTX PRO Servers accelerate agentic AI and reasoning workloads, allowing researchers and developers to build and deploy autonomous systems that can learn from, adapt to and interact with their surroundings in real time.

For example, the NVIDIA Llama Nemotron Super reasoning model delivers up to 3x better price performance when running with NVFP4 on a single NVIDIA RTX PRO 6000 GPU compared with FP8 on NVIDIA H100 GPUs.

Enterprises developing physical AI systems need to test and optimize robotic fleets in simulation before deployment. NVIDIA RTX PRO Servers deliver up to 4x faster performance for digital twin, simulation, and synthetic data generation than NVIDIA L40S GPUs.

RTX Pro Servers support Windows, Linux, and common hypervisors, giving IT teams a familiar path to deploy AI at scale. The systems handle broad enterprise workloads on air‑cooled, PCIe-based x86 architectures and include enterprise-grade security, management, and serviceability.

Comprehensive Software Support

NVIDIA RTX PRO Servers and the Blackwell architecture product portfolio are supported by NVIDIA AI Enterprise, which includes NVIDIA NIM microservices and AI frameworks, libraries and tools that enterprises can deploy on NVIDIA-accelerated clouds, data centers and workstations.

RTX PRO Servers are featured in the NVIDIA Enterprise AI Factory validated design for companies looking to build and deploy on-premises AI factories and in the NVIDIA AI Data Platform, a customizable reference design for building modern storage systems for enterprise agentic AI.

For physical and industrial AI, RTX PRO Servers running NVIDIA Omniverse libraries and NVIDIA Cosmos world foundation models enable physical AI developers to deploy applications including digital twins for factory and robot simulation or synthetic data generation.

Availability

NVIDIA RTX PRO Servers are available in multiple configurations with RTX PRO 6000 Blackwell Server Edition GPUs from Cisco, Dell Technologies, HPE, Lenovo and Supermicro, Advantech, Aetina, Aivres, ASRock Rack, ASUS, Compal, Eviden, Foxconn, GIGABYTE, Inventec, MiTAC Computing, MSI, PEGATRON, QCT, Wistron and Wiwynn.

Cloud service providers CoreWeave and Google Cloud are offering instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with additional instances coming later this year from AWS, Nebius and Vultr.

Source: NVIDIA

About NVIDIA

NVIDIA Corporation, based in Santa Clara, CA, is a U.S. technology company specializing in the design and production of graphics processing units (GPUs). Its hardware and software solutions support a range of applications and simulation. Operating for over 30 years, NVIDIA has seen strong financial growth, reporting $39.3 billion in revenue and $22.1 billion in net income for the fiscal quarter ending January 2025. Its headquarters are designed to promote a flat organizational structure that encourages open communication and collaboration between leadership and staff across industries. In gaming, its GPUs power high-performance visual rendering. In artificial intelligence and high-performance computing, NVIDIA provides the infrastructure needed for training and deploying large-scale models. The company also contributes to the automotive sector with systems for autonomous driving and supports robotics with tools for AI-based perception.