
Supermicro is now accepting orders for more than 20 new enterprise systems featuring the NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. These systems are optimized for next-generation AI workloads, which include inference, model tuning, graphics rendering, and simulation. As part of a collaboration with NVIDIA, Supermicro’s offerings will support NVIDIA Enterprise AI Factory validated designs, integrating full-stack components like Spectrum-X networking and NVIDIA AI Enterprise software. The lineup includes NVIDIA-Certified Systems and the new SYS-212GB-NR, a single-socket MGX system aimed at edge deployments. This expansion marks a major step toward scalable, on-premise AI infrastructure across industries.
AI Factories Get a Boost from Scalable Server Systems
Supermicro is doubling down on its mission to support the next wave of enterprise AI. With a powerful new portfolio of systems powered by NVIDIA RTX PRO 6000 Blackwell GPUs. These servers are purpose-built for AI training, inference, 3D rendering, and simulation workloads across cloud, core data centres, and the edge. With over 20 system models now available, Supermicro is delivering scale and flexibility for industries seeking to build or expand AI factory infrastructure. NVIDIA-Certified Systems ensure compatibility with Spectrum-X networking and AI Enterprise software, making deployment faster and easier for IT teams. These platforms help enterprises reduce hardware footprints, which increases compute performance and efficiency.
A standout offering is the new SYS-212GB-NR, an MGX-based, single-socket system designed for edge AI inference. Which supports up to four RTX PRO 6000 Blackwell GPUs in a compact 2U chassis, the system brings high-performance AI processing to decentralized environments, such as factory floors, retail stores, and branch offices, where power and thermal constraints make traditional GPU systems impractical. This setup enables organizations to execute complex inference tasks locally with low latency and high efficiency. As demand for intelligent applications continues to migrate closer to the edge, its new lineup is primed to meet those needs at scale.
Modular Architectures for Diverse AI Workloads
Supermicro’s broad portfolio includes 5U and 4U GPU systems, edge-optimized 3U chassis, SuperBlade® racks, and rackmount workstations. All are now available with Blackwell GPUs. The 5U PCIe systems support up to 10 GPUs per chassis with dual-socket CPUs and PCIe 5.0 expansion, ideal for AI fine-tuning, cloud gaming, and 3D rendering. MGX-based servers offer 4 to 8 GPU configurations for data centers or edge AI deployments. Supermicro’s collaboration with NVIDIA ensures these systems are tightly integrated with the NVIDIA AI Enterprise stack. That includes BlueField-3 DPUs and Spectrum-X networking.
The result is a comprehensive AI factory architecture tailored for speed, efficiency, and deployment flexibility. Enterprises can scale quickly, reduce server footprints, and gain faster time-to-revenue with pre-validated, full-stack solutions. Chris Marriott pointed out that smart AI is improving the way businesses make decisions using data. By offering accelerated systems for various NVIDIA GPUs, Supermicro is now one of the leading companies in AI infrastructure. The launch demonstrates that the company is committed to serving AI users from the cloud all the way to the edge, making sure everything is easy to add or remove.
NVIDIA Drive Scalable AI Adoption
The new NVIDIA RTX PRO 6000 Blackwell systems from Supermicro allow the company to power AI factories for enterprise customers. With NVIDIA software and efficient modules from it, customers can find AI solutions that work well in different sectors. Thanks to these systems, companies have an easier and cheaper way to set up their AI systems in different places. Together with NVIDIA, Cray looks to make efficient, on-site AI a reality. The use of generative AI and inference is spreading and it ensures that the technology runs smoothly with its systems.