As the prominence of AI continues to spread far beyond the realm of the tech industry and academia, so too does the infrastructure required to run it. Where GPU acceleration was once reserved for the world’s leading AI companies and research institutions, the AI-everywhere movement is making AI-enabling GPUs almost as ubiquitous as CPUs in the data centers of enterprises across the industrial spectrum.
But data center infrastructure often requires specialized facilities to house, cool and fuel the racks of servers, networking, and other equipment that makes up a specialized AI cluster. So when a healthcare provider wants to leverage AI to assist doctors in reviewing x-rays, or a restaurant chain wants to use an AI chatbot to help take reservations, they often don’t have the facilities or the budget to simply bring in racks of workload-specific GPU systems. These enterprises require cost-effective solutions that can be integrated into their existing compute infrastructure to effectively infuse AI into what they already have, not replace it completely.
Standard ‘rackmount servers’ as they are commonly known in the world of enterprise compute, have long been the backbone of many business’ IT infrastructure, designed to fit easily into an industry-standard rack (hence the name ‘rackmount’) and only requiring air cooling and a few kW of power per system. These systems are commonly found in on-site server rooms or back offices and feature CPUs, memory, storage, and networking to support the most common enterprise applications. However as more enterprises shift to AI-enabled applications and AI-infused services to improve business processes and enhance employee productivity, being able to integrate that AI-optimized hardware into their existing setups poses significant challenges.
Over our 32-year history, Supermicro has led the industry with innovative, first-to-market server architectures designed to maximize system performance and flexibility, while also ensuring energy efficiency and resource saving. Together with partners like NVIDIA, we’ve developed accelerated computing solutions that help organizations to reduce time-to-revenue and maximize ROI.
So when NVIDIA launched the NVIDIA RTX PRO 6000 Blackwell GPUs earlier this year, this represented an unprecedented opportunity to bring AI to enterprises everywhere. The RTX PRO 6000 Blackwell delivers breakthrough accelerated compute performance, bringing new AI and visual computing capabilities to the PCIe form factor and enabling AI to be deployed in industries and environments previously considered impossible or impractical.
Having the industry’s broadest portfolio of systems optimized for PCIe GPU acceleration meant we were well placed to bring the universal capabilities of the RTX PRO 6000 Blackwell Server Edition GPU to enterprise customers sooner. From 5U and 4U RTX PRO Servers supporting 8 GPUs for AI inference and fine-tuning, to workstations empowering AI-assisted graphics and AI development, Supermicro systems could be installed alongside existing enterprise infrastructure with minimal modification, essentially bolting on the ability to integrate AI into workflows. These systems are currently shipping to customers worldwide who are already streamlining workflows and empowering employees thanks to Supermicro’s first-to-market advantage.
Seeing the enthusiasm in the enterprise market for RTX PRO Servers, we’re now taking things a step further with the new 2U RTX PRO Server. Leveraging the industry’s most popular 2U server form factor in Enterprise data center environments, this design features two RTX PRO 6000 Blackwell Server Edition GPUs, two latest-generation CPUs, and three NICs (1 NVIDIA BlueField-3 and two NVIDIA ConnectX-7) to bring universal acceleration for enterprise workloads spanning agentic AI, content creation, data analytics, graphics, and scientific simulation, as well as industrial and physical AI.
Suited for space-, power-, and cooling-constrained environments, the 2U RTX PRO Server also provides a certified infrastructure backbone for NVIDIA software including NVIDIA AI Enterprise and NVIDIA Omniverse libraries to speed the development and deployment of enterprise AI, agentic AI, and physical AI. For multi-user AI and VDI workloads, the RTX PRO Server’s GPUs can even be shared among users, meaning an entire team can use a single server, collaborating in real time or concurrently working on different stages of AI or graphics workflows. Supermicro’s modular Building Block Solutions philosophy has allowed us to optimize the design of the RTX PRO Server to ensure maximum airflow over internal components, meaning that these systems will still perform as intended in traditional air-cooled on-prem environments.
Small and medium enterprises that might not even have their own data center infrastructure can still leverage the power of NVIDIA’s Blackwell platform using Supermicro workstations featuring the new NVIDIA RTX PRO 4000 SFF and RTX PRO 2000 GPUs. Optimized for professional workflows such as engineering, design, content creation, and 3D visualization, Supermicro workstations can be combined with NVIDIA’s AI software stack to create an all-in-one AI and graphics solution ideal for office, studio, and laboratory settings.
Adopting AI is a considerable challenge for many organizations, especially those which have not traditionally considered themselves to be involved in—or even adjacent to—the technology space. By simplifying the platforms and the requirements for deploying AI in enterprise data centers, we along with NVIDIA are helping every company to become an AI company, leveraging their data to generate insights, enhance efficiency, and even generate revenue.
Supermicro’s complete range of enterprise AI systems featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs is now available for order. To learn more please visit https://www.supermicro.com/en/accelerators/nvidia/pcie-gpu
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