Super Micro Computer has unveiled a raft of new servers and Edge systems designed for artificial intelligence workloads, as the Silicon Valley hardware maker looks to expand its presence across Europe, the Middle East and Africa.
At its INNOVATE! 2025 event in Madrid this week, the Nasdaq-listed company highlighted systems built around the latest generation of chips from Nvidia, Intel and AMD, demonstrating its close ties with the semiconductor industry.
The launch comes as demand for AI training and inference capacity fuels investment in data centres worldwide.
Vik Malyala, Supermicro’s EMEA president, said the event was intended to bring together regional customers and partners to explore “state-of-the-art infrastructure technologies and solutions equipped for the future of AI”. He added that the company was committed to delivering “the most advanced, energy-efficient solutions to organisations worldwide”.
Among the products on display were servers equipped with Nvidia’s new HGX B300 and GB300 NVL72 rack-scale GPUs, which are offered with liquid cooling systems designed to cut power consumption by as much as 40%.
Supermicro also introduced several new short-depth and edge-focused machines, including a telecoms-optimised 1U system based on Nvidia’s Grace CPU, and compact fanless computers using Nvidia’s Jetson Orin NX platform for retail and manufacturing applications.
A new 2U system featuring Intel’s Xeon 6 processor with integrated vRAN Boost was also presented, targeting high-traffic networking environments. The company said the design improved performance per watt, a key metric for operators facing rising energy costs.
The wider portfolio showcased in Madrid spanned Supermicro’s flagship SuperBlade systems — aimed at high-performance computing, financial trading and data analytics — to dense storage servers and GPU-optimised rackmount platforms.
Supermicro, which designs and manufactures its systems using a modular approach, said the configurations could be rapidly assembled to suit workloads ranging from Cloud computing to AI at the network Edge. By processing data closer to its source, the company argues, customers can reduce congestion and improve decision-making speeds.
The new systems are available immediately and will be shipped globally.
