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Supermicro ships Nvidia Blackwell ultra systems at scale

by Juliane C.
September 27, 2025
in Technology
Supermicro

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As the race for AI development intensifies, many companies are taking advantage of the development opportunities emerging in this technological field. Among them, Supermicro, an American company specializing in IT solutions, announced that it is now delivering its systems based on the Nvidia Blackwell Ultra platform at scale. These machines will be responsible for meeting the growing demand for data centers with increasingly robust AI, which consequently places greater demands on the machines.

A new generation of systems

With the rapid advancement of artificial intelligence, the need for changes and evolutions in power and cooling systems, and even the way large data centers are built, becomes ever greater. Supermicro’s announcement is a warning that technologies capable of supporting this advancement are already being designed.

The spotlight this time is on the HGX B300 servers and GB300 NVL72 racks, both built to fully leverage the Nvidia Blackwell Ultra architecture. In practical terms, this translates into faster training of AI models, expanded memory capacity, and much higher energy efficiency when compared with the previous generation.

Ready for immediate use and with superior performance

Supermicro ensured that the equipment was designed to arrive ready for customers, in a plug-and-play format. This reduces installation complexity, as much of the validation work is completed before shipment, meaning data centers can start running their AI applications much faster.

Performance is considerable. Compared to the Hopper line, for example, the systems’ processing speed can reach up to 7.5 times faster, opening up space for models with numerous parameters and also for practical everyday uses such as autonomous cars and medical diagnostic systems.

An important step beyond the technology sector

Although at first it may seem like a subject that only attracts those closely following technological innovations and new product launches, its impacts go much further. Companies are now increasingly capable of building larger and faster models, unlocking new ideas and solutions that can directly and positively influence peopleโ€™s everyday lives.

The applications are diverse, whether through process optimization in hospitals, such as accelerated processing of complex exams in seconds, even more accurate instant translation systems, or smart factories that optimize their production in real time. All of this depends on computers capable of handling massive volumes of dataโ€”exactly what the new systems from Supermicro and Nvidia offer.

Another relevant point is the system’s sustainability in terms of energy. Energy consumption in data centers is a constant and even growing concern, and the company claims that its direct liquid cooling technology can reduce energy use by up to 40% and significantly reduce water consumption. This helps not only cut costs but also make the AI โ€‹โ€‹sector more environmentally friendly.

The future of โ€œAI factoriesโ€

Supermicro describes its new systems as building blocks for so-called AI factories. This term is somewhat accurate, as the systems consist of large clusters of interconnected computers designed to “produce” artificial intelligence at scale.

These digital factories are already the foundation of models responsible for delivering assistants like ChatGPT and automatic translators. With the arrival of Blackwell Ultra, the productivity of these structures is expected to double, setting new standards for computing capacity. Furthermore, the company offers reference architectures that enable rapid deployments with connections of up to 800 Gbps, ensuring that systems can grow without network bottlenecks.

Supermicro’s announcement is a direct consequence of the development of AI technologies worldwide, but it focuses more on the infrastructure needed for this accelerated development. The direct impacts of these investments may seem distant, but gradually the effects will reach everyday life through faster services, more reliable medical diagnoses, and new ways of interacting with technology.

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ยฉ 2025 by Global Current News

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ยฉ 2025 by Global Current News