Super Server provides NVIDIA‑powered AI solutions built on Supermicro servers, targeting high‑performance training, inference, and data analytics workloads. Their offerings combine top‑tier GPUs—such as the latest NVIDIA H200 Tensor Core—with advanced cooling, flexible configurations, and high‑speed networking to ensure scalability and reliability. They also handle streamlined hardware procurement and direct delivery across Europe, reducing lead times for AI‑focused enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and research organizations often face long lead times and complex logistics when procuring high-performance AI hardware, making it difficult to quickly scale training, inference, and data analytics workloads.
Solution
Super Server offers pre‑configured Supermicro servers equipped with NVIDIA GPUs, including the latest H200 Tensor Core GPU, to provide ready‑to‑run AI and HPC platforms. By sourcing the hardware directly from manufacturers and handling delivery across Europe, the company reduces procurement cycles and simplifies deployment. The integrated solutions combine advanced cooling, high‑speed networking, and flexible configurations to meet the performance and reliability demands of modern AI workloads. Customers receive a single point of contact for hardware selection, ordering, and support, enabling faster time‑to‑value for AI projects.
Target Audience
Primary customers are AI research labs, data‑intensive enterprises, and HPC centers in Europe that require high‑performance GPU‑accelerated compute infrastructure.
Features
- Pre‑built Supermicro server configurations optimized for AI training, inference, and analytics
- Integration of NVIDIA H200 Tensor Core GPU for accelerated generative AI and high‑performance computing tasks
- Direct sourcing and logistics from manufacturing hubs to European sites, minimizing lead times
- Advanced cooling and high‑speed networking options to ensure scalability and sustained performance
- Flexible hardware options allowing customization of GPU count, memory, and storage to match workload requirements
- Single‑vendor support for procurement, installation, and post‑sale service