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Supermicro Begins Volume Shipments of NVIDIA Blackwell Ultra Systems and Rack Plug-and-Play Data Center-Scale Solutions

Supermicro Rolls Out Powerful NVIDIA Blackwell Ultra Solutions for AI Factories

Hey folks, exciting news from the world of AI tech! Supermicro, the San Jose-based leader in AI, cloud, storage, and 5G solutions, just announced that their NVIDIA Blackwell Ultra systems are now widely available. They’re shipping plug-and-play NVIDIA HGX B300 systems and GB300 NVL72 racks to customers around the globe. These aren’t just any setups—they’re pre-built and tested at the system, rack, and even full data center level, so businesses can dive right into high-performance AI without the hassle.

What makes these NVIDIA Blackwell Ultra solutions a game-changer? They’re designed for massive AI tasks like training huge models, real-time reasoning, agentic AI apps, multimodal inference, and even physical AI deployments. Supermicro is delivering them in high volumes, making it easier for companies to build AI factories that push the boundaries of compute power and density.

Charles Liang, Supermicro’s President and CEO, shared his excitement: "We’ve got the best track record for quickly rolling out new NVIDIA tech. With our Data Center Building Block Solutions (DCBBS), we handle everything from on-site setup to tackling tough issues like cabling, power, and cooling. This means turn-key AI platforms that get customers up and running fast—perfect for staying ahead in the AI race."

Supermicro’s lineup now includes over 10 different SKUs with NVIDIA Blackwell and Blackwell Ultra tech, letting you create AI environments of any size. At the heart of it, these systems boost efficiency with advanced air and liquid cooling tailored for GPUs that can handle up to 1400W each. Compared to the original NVIDIA Blackwell, the Ultra version delivers 50% better inferencing performance using FP4 compute and 50% more HBM3e memory. That’s huge for running complex AI models smoothly and quickly—think bigger brains for your AI without the slowdowns.

The company isn’t stopping there. Their full NVIDIA Blackwell Ultra portfolio taps into cutting-edge innovations like direct liquid cooling (DLC) tech, smarter air cooling, and optimized I/O designs. These plug-and-play systems double compute network bandwidth, setting new standards for AI factory productivity. Whether you’re building a single rack or a massive cluster, Supermicro’s solutions scale effortlessly with options for air or liquid cooling.

For enterprises ready to go big, Supermicro offers reference architectures using NVIDIA’s Quantum-X800 InfiniBand or Spectrum-X Ethernet, hitting speeds up to 800 Gb/s. The GB300 NVL72 rack packs a whopping 1.1 exaFLOPS of FP4 compute performance. Meanwhile, HGX B300 systems in 8U air-cooled or 4U liquid-cooled setups give up to 7.5 times the performance of older NVIDIA Hopper accelerators, with 144 petaFLOPS FP4 compute and 270 GB HBM3e memory per GPU.

And it’s not just hardware—Supermicro integrates everything with NVIDIA AI Enterprise, Blueprints, and NIM software for top-notch AI performance. Their DCBBS services cover on-site deployment, cabling, power, and cooling, slashing time to market. Plus, with DLC-2 tech, you save up to 40% on power, shrink data center space by 60%, cut water use by 40%, and lower total cost of ownership (TCO) by 20%. As AI factories grow, these tools help data centers meet the skyrocketing demands of next-gen computing.

Supermicro, traded on NASDAQ as SMCI, has been innovating from its San Jose headquarters since day one. They focus on application-optimized IT solutions for enterprise, cloud, AI, and 5G edge infrastructure, manufacturing in-house across the US, Taiwan, and the Netherlands for green, efficient computing. Their Server Building Block Solutions let you customize everything from processors to GPUs, storage, and cooling to fit your exact needs.

Want to learn more about these NVIDIA Blackwell Ultra systems and how they can supercharge your AI setup? Check out Supermicro’s dedicated page: https://www.supermicro.com/en/accelerators/nvidia.

(Images: Supermicro NVIDIA Blackwell Solutions and Supermicro Logo available via PRNewswire.)



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