Summary:
1. NVIDIA has launched RTX PRO Servers and Enterprise AI Factory to revolutionize enterprise IT infrastructure.
2. The initiative features the powerful RTX PRO 6000 Blackwell Server Edition GPU for enhanced performance.
3. Industry leaders like Foxconn, Cadence, and Eli Lilly are already adopting this new technology.
Article:
NVIDIA has made a significant stride in the realm of enterprise IT infrastructure at COMPUTEX in Taipei, Taiwan. The tech giant unveiled its RTX PRO Servers and Enterprise AI Factory as part of a strategic effort to transform traditional CPU-based systems into GPU-accelerated data centers. These cutting-edge servers are designed to support a variety of demanding workloads, including artificial intelligence, engineering simulation, and real-time digital twin applications.
Central to this initiative is the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU, which boasts enhanced performance and energy efficiency tailored for enterprise environments. This GPU is engineered to handle a wide range of data center workloads, facilitating the transition towards AI-optimized infrastructure for advanced computing tasks.
The NVIDIA Enterprise AI Factory blueprint encompasses a comprehensive solution that integrates hardware, networking, storage, and software components. By combining RTX PRO Servers with NVIDIA BlueField data processing units (DPUs), Spectrum-X Ethernet networking, NVIDIA-Certified Storage systems, and the NVIDIA AI Enterprise software suite, businesses can establish on-premises AI factories. These AI factories serve as data centers that automate operations, empower AI-driven product development, and enhance workforce productivity through intelligent systems.
According to Jensen Huang, the founder and CEO of NVIDIA, AI is reshaping industries globally, and every company will eventually need to build or lease AI factories to drive their operations and product intelligence. Through an extensive network of partners, NVIDIA is assisting businesses in transitioning towards AI-native operations.
Notably, industry leaders such as Foxconn, Cadence, and Eli Lilly have already embraced the RTX PRO Server-powered infrastructure. Foxconn, for instance, is leveraging this architecture to enhance AI capabilities across electronics manufacturing, smart electric vehicles, and robotics applications. Young Liu, the Chairman of Foxconn, highlighted the transformative impact of NVIDIA Blackwell technology on their global operations.
The RTX PRO 6000 Blackwell GPU supports a diverse array of enterprise workloads, ranging from multimodal AI inference and scientific computing to video rendering and physical simulation. These servers can accommodate up to eight GPUs and are equipped with BlueField-3 DPUs and ConnectX-8 SuperNICs for high-throughput, low-latency networking. Additionally, the inclusion of PCIe Gen 6 technology ensures future-proof connectivity.
To optimize performance, the NVIDIA AI Enterprise platform provides prebuilt AI software tools like NVIDIA NeMo for generative models, NVIDIA NIM for optimized inference, and specialized AI Blueprints for developing digital humans and AI query systems. These tools seamlessly integrate with the hardware stack, enabling businesses to deploy robust AI capabilities with minimal integration complexity.
Furthermore, the servers are closely integrated with NVIDIA Omniverse, a platform that facilitates simulation, industrial digital twin development, and robotics learning at scale. This integration makes RTX PRO Servers particularly appealing to enterprises engaged in next-generation automation and digital engineering initiatives.
In an effort to streamline the deployment of AI infrastructure, NVIDIA has introduced a validated reference architecture for its Enterprise AI Factory design. This reference model provides enterprises with a proven framework for implementing AI infrastructure using NVIDIA-Certified Servers, networking hardware, and software components. The blueprint offers detailed guidance on software stacks, deployment practices, and scaling strategies to meet evolving business needs.
For large-scale AI tasks, companies can leverage NVIDIA HGX B200 systems in conjunction with the AI Factory design. These systems cater to organizations with advanced AI workloads such as training large language models and running real-time recommendation engines.
NVIDIA is collaborating with a diverse group of system and technology partners to bring these solutions to market. Leading vendors like Cisco, Dell Technologies, Hewlett Packard Enterprise, and Lenovo will offer full-stack solutions utilizing RTX PRO Servers and NVIDIA AI Enterprise software. Additionally, manufacturing partners such as ASUS, Supermicro, Pegatron, Wiwynn, and Quanta Cloud Technology will contribute to the ecosystem.
Storage infrastructure for AI factories will be provided by partners including NetApp, IBM, Pure Storage, DDN, VAST Data, and others, ensuring that these platforms can handle the high-performance data demands of AI and accelerated computing.
On the services front, global consulting firms such as Accenture, Deloitte, EY, Infosys, Tata Consultancy Services, and Wipro are assisting enterprise clients in migrating to GPU-accelerated infrastructure using the Enterprise AI Factory model. Their involvement ensures seamless deployments, strategic planning, and integration into broader digital transformation endeavors.
For businesses interested in implementing the enterprise AI factory with RTX PRO Servers, customers can reach out to their preferred NVIDIA technology provider. To learn more about the verified design of the Enterprise AI Factory and embark on this transformative journey, visit the NVIDIA Marketplace.
