Cloudion
Cloudion
High-density rack solutions optimized for mission-critical workloads in Northern Germany.
The Port of Hamburg, one of Europe's largest, requires massive real-time data processing for container tracking and autonomous logistics. HPE ProLiant Gen12 servers provide the low-latency edge computing necessary for these Hanseatic operations.
With Airbus and Lufthansa Technik based in Hamburg, the city is a global aviation hub. Our server configurations support high-fidelity simulations and CAD/CAM workloads critical to aerospace engineering.
Hamburg aims to be a leader in sustainable energy. HPE's liquid cooling and energy-efficient Gen12 designs align with the "Hamburg Green Tech" initiative, reducing the PUE of local data centers.
As a leading HPE Server Factory and Supplier, we understand that Hamburg isn't just a city; it's a critical node in the global supply chain. The shift toward Semantic Search and AI-driven Intent Mining in German e-commerce and logistics has created a surge in demand for compute power that goes beyond traditional x86 architecture.
Macro-Industry Evolution: Globally, we are seeing a transition from general-purpose CPUs to heterogeneous computing. The HPE ProLiant DL360 Gen12, featuring liquid cooling and PCIe 5.0, is designed specifically for this transition, allowing Hamburg-based firms to deploy AI inference models locally without the latency of public clouds.
Local Compliance & Reliability: For German enterprises, data sovereignty (GDPR) and BSI (Federal Office for Information Security) standards are non-negotiable. Our HPE server solutions incorporate the Silicon Root of Trust, providing a hardware-validated security layer from the factory floor to the data center in Hamburg.
Our role as a supplier involves more than hardware delivery; we provide a technical roadmap for migration from legacy Gen9/Gen10 systems to the future-proof Gen12 ecosystem, ensuring long-term ROI and compatibility with upcoming Intel Xeon Scalable 6th Gen processors.
Modern Facility
Industry Expertise
Supply Chain Partners
QC Inspectors
Cloudion AI Systems Ltd is a high-performance AI GPU server manufacturer dedicated to delivering next-generation computing infrastructure for global AI workloads. Built under the brand CloudionAI (https://cloudionai.com), the company specializes in scalable GPU server architectures designed for deep learning, model training, inference acceleration, and cloud data center deployment.
Founded in 2016, Cloudion AI Systems Ltd has developed a strong reputation in the global AI hardware industry, supported by years of engineering expertise and continuous innovation in high-density computing systems. The company operates a modern manufacturing facility covering approximately 18,600㎡, equipped with advanced assembly lines, automated testing systems, and precision engineering workshops to ensure consistent product quality and performance stability.
With annual export revenue ranging from USD 12 million, CloudionAI serves international markets across North America, Europe, and Southeast Asia. The company has accumulated 7 years of export experience and over 12 years of industry expertise in high-performance computing and server infrastructure.
Quality assurance is strictly enforced through ISO-based quality management systems, thermal stress testing, burn-in testing, and full system load validation. Product inspection methods include automated optical inspection (AOI), hardware-in-the-loop testing, and multi-stage functional verification. The quality control team consists of 48 professional inspectors ensuring strict compliance with global standards.
CloudionAI maintains a diversified trade background with strong participation in both OEM and ODM markets. Its supply chain is supported by more than 1,100 upstream partners, including semiconductor suppliers, PCB manufacturers, cooling system providers, and enterprise-grade component vendors. The company’s primary markets include enterprise AI infrastructure providers, cloud service operators, research institutions, and data center integrators. CloudionAI also offers extensive R&D capabilities, supporting custom GPU server configurations, liquid cooling solutions, and hybrid cloud deployment architectures.
Customization options include chassis design, GPU configuration, power architecture optimization, thermal system engineering, and firmware-level tuning. In the past year, CloudionAI launched 86 new products, reflecting its strong innovation pipeline. The R&D department consists of approximately 320 engineers specializing in AI hardware design, distributed computing systems, and high-efficiency thermal management technologies, ensuring continuous advancement in next-generation GPU server solutions.
Localized solutions for the Hamburg industrial landscape.
Implementing HPE servers at the edge to manage Hamburg's intelligent traffic lights and public transport networks, reducing congestion through AI-driven analytics.
As Germany's media capital, Hamburg's broadcasting and advertising agencies utilize our xFusion and HPE GPU-optimized servers for real-time 8K video rendering and AI content generation.
Optimizing wind farm output in the North Sea via predictive maintenance models running on high-performance HPE ProLiant clusters housed in Hamburg's secure data centers.
Standard configurations are kept in stock with a 5-7 business day delivery window. Custom OEM/ODM configurations typically require 3-4 weeks from design finalization to delivery via Hamburg's port or airport.
Yes, all HPE servers supplied by CloudionAI feature Integrated Lights-Out (iLO) management with Silicon Root of Trust, meeting the rigorous data integrity requirements of the German industrial sector.
We work with a network of certified local partners in Hamburg to provide 24/7 on-site support, hardware replacement, and data center integration services.
Gen12 offers double the I/O bandwidth via PCIe 5.0 and significantly higher memory speeds with DDR5, which is crucial for the high-density AI and machine learning workloads currently being adopted by Hamburg's tech sector.
From AI Inference to High-Density Storage and Components.
