27 August 2025 | News
Image Courtesy: Public Domain
NVIDIA announced leading global enterprises have adopted NVIDIA RTX PRO™ Servers — a new category of enterprise data center infrastructure powered by the RTX PRO 6000 Blackwell Server Edition GPU — speeding the shift from general-purpose computing clusters to AI factory infrastructure, without a complete data center overhaul.
Disney, Foxconn, Hitachi Ltd., Hyundai Motor Group, Lilly, SAP and TSMC are among the first to adopt the servers to accelerate AI, design and simulation applications.
“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
Built with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, RTX PRO Servers use the NVIDIA Blackwell architecture to deliver universal acceleration for demanding enterprise AI workloads spanning agentic and physical AI to advanced design, scientific computing, simulation, graphics and video applications.
Industry leaders are deploying RTX PRO Servers to speed their enterprise workloads:
Leading companies at the forefront of the AI industrial revolution are building AI factories and transforming their data center infrastructure with RTX PRO Servers.
In manufacturing, leaders like PEGATRON, Quanta Cloud Technology (QCT), Siemens and Wistron are using these systems to drive factory automation and simulation.
Digital advertising company PubMatic is using RTX PRO Servers to address new AI use cases and high-growth areas like connected TV, commerce media networks and mobile apps.
Aerospace manufacturer Northrop Grumman is enhancing its existing capabilities with these systems to accelerate AI integration into enterprise workstreams to boost productivity and performance.
Amdocs, a leading provider of software and services for communications and media companies, is deploying RTX PRO Servers to support the reasoning of its amAIz Agents for transforming telecom customer experiences.
Cadence, Siemens EDA and Synopsys will use RTX PRO Servers to accelerate Al-driven simulation across silicon, systems and AI.
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. This enables more accurate reasoning at a lower cost.
To develop effective physical AI systems, enterprises need to test and optimize their robotic fleets in simulation before deploying to real-world factories. NVIDIA RTX PRO Servers are advancing industrial and physical AI by delivering up to 4x faster performance for digital twin, simulation and synthetic data generation workflows than systems with NVIDIA L40S GPUs.
RTX PRO Servers are designed for maximum flexibility to support Windows, Linux and leading hypervisors to offer IT managers a familiar environment for deploying AI at scale without compromise. These servers run virtually every enterprise workload — using air-cooled, PCIe-based, x86 architectures — all with enterprise-grade security, manageability and serviceability.
Comprehensive Software Support
NVIDIA RTX PRO Servers and the entire Blackwell architecture product portfolio are supported by the NVIDIA AI Enterprise software platform, 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 build and deploy applications including digital twins for factory and robot simulation or large-scale synthetic data generation.