
NVIDIA has introduced RTX PRO Servers, a new category of enterprise data center infrastructure powered by the RTX PRO 6000 Blackwell Server Edition GPU. Leading global enterprises, including Disney, Foxconn, Hitachi Ltd., Hyundai Motor Group, Lilly, SAP, and TSMC, are adopting these servers to accelerate AI, design, and simulation applications, enabling a seamless transition to AI factory infrastructure without requiring a complete data center overhaul.
NVIDIA RTX PRO Servers launched with Blackwell GPU for AI workloads.
Adopted by Disney, Foxconn, Hitachi, Hyundai, Lilly, SAP, TSMC.
Accelerates AI, digital twins, simulation, and design applications.
Delivers up to 3x better price performance for AI reasoning.
Supports Windows, Linux, and hypervisors for flexible deployment.
Enhances factory automation, digital advertising, and telecom.
NVIDIA RTX PRO Servers, built with the RTX PRO 6000 Blackwell Server Edition GPU, leverage the NVIDIA Blackwell architecture to provide universal acceleration for enterprise AI workloads. These include agentic AI, physical AI, advanced design, scientific computing, simulation, graphics, and video applications. The servers enable companies to transition from general-purpose computing to AI-driven infrastructure, supporting industries in building AI factories that enhance productivity and innovation.
Global enterprises are deploying RTX PRO Servers to transform their operations. Disney is enhancing immersive storytelling, with Josh D’Amaro, chairman of Disney Experiences, stating, “This incredible technology will allow us to bring our breadth of stories to life in spectacular detail and faster than ever before.” Foxconn is advancing smart manufacturing, with Young Liu, chairman, noting, “By introducing RTX PRO Servers into our global infrastructure, Foxconn is redefining the boundaries of AI-driven automation.” Similarly, Hitachi is optimizing digital twins, Hyundai is accelerating autonomous driving technology, Lilly is exploring new medicines, SAP is enhancing cloud infrastructure, and TSMC is improving semiconductor manufacturing efficiency.
RTX PRO Servers deliver exceptional performance for AI reasoning and physical AI applications. The NVIDIA Llama Nemotron Super reasoning model achieves up to 3x better price performance on a single RTX PRO 6000 GPU compared to FP8 on NVIDIA H100 GPUs. For physical AI, the servers offer up to 4x faster performance for digital twin, simulation, and synthetic data generation workflows compared to systems with NVIDIA L40S GPUs. Designed for flexibility, RTX PRO Servers support Windows, Linux, and leading hypervisors, using air-cooled, PCIe-based, x86 architectures with enterprise-grade security and manageability.
In manufacturing, companies like PEGATRON, Quanta Cloud Technology, Siemens, and Wistron are leveraging RTX PRO Servers for factory automation and simulation. Digital advertising firm PubMatic is addressing AI-driven use cases in connected TV and mobile apps. Aerospace leader Northrop Grumman is enhancing AI integration, while Amdocs is deploying the servers to improve telecom customer experiences through amAIz Agents. Additionally, Cadence, Siemens EDA, and Synopsys are using RTX PRO Servers to accelerate AI-driven simulation in silicon and systems design.
The servers are supported by the NVIDIA AI Enterprise software platform, including NVIDIA NIM microservices, AI frameworks, and tools deployable across clouds, data centers, and workstations. For physical and industrial AI, NVIDIA Omniverse libraries and NVIDIA Cosmos world foundation models enable developers to build digital twins and large-scale synthetic data generation, further enhancing RTX PRO Servers’ capabilities.
NVIDIA RTX PRO Servers are setting a new standard for enterprise AI infrastructure, enabling companies to build scalable, efficient AI factories that drive innovation across industries.
Founded in 1993 and headquartered in Santa Clara, California, NVIDIA is a global leader in AI computing. The company’s innovations in GPU technology and AI software platforms empower enterprises, researchers, and developers to accelerate scientific discovery, design, and business transformation.