Immediate dispatch options for critical AI workloads, deep learning inference pipelines, and scalable network storage configurations.
The metropolitan region of Barcelona has rapidly transformed from a classic industrial city into one of Europe's primary epicenters for digital innovation and physical infrastructure deployment. The confluence of massive public-private partnerships, the active development of the 22@ Barcelona innovation district, and strategic subsea fiber-optic cables landing on the Catalan coast has created an ideal ecosystem for server manufacturing, integration, and worldwide export. As enterprises strive to achieve lower latencies, secure sovereign cloud infrastructures, and scale AI-driven processes, having localized high-performance hardware sources within the European Union is no longer a luxury—it is a compliance and strategic necessity.
Furthermore, Barcelona is home to the world-renowned Barcelona Supercomputing Center (BSC), which hosts the MareNostrum 5 supercomputer, one of the most powerful scientific compute structures globally. This has stimulated a specialized labor pool of system architects, thermal engineers, and hardware testing professionals. Local server manufacturers are utilizing this knowledge to build highly efficient compute racks, GPU nodes, and enterprise-grade storage arrays that conform to stringent European environmental standards while supplying processing power to key markets in Eastern Europe, the Middle East, and Africa.
Direct maritime and air corridors from the Port of Barcelona and El Prat Airport, enabling frictionless customs clearance and regional transport.
Proximity to leading European research centers ensures hardware is optimized using cutting-edge HPC architectural design and testing methodologies.
Fully compliant with EU hardware security standards and environmental footprint directives (ISO 14001, RoHS, and WEEE).
The rapid advancement of deep learning architectures, particularly Large Language Models (LLMs) and computer vision systems, has shifted server design requirements away from standard compute cycles and toward highly parallel GPU-centric platforms. Modern computing nodes require specialized layouts to handle massive heat dissipation, high bandwidth inter-GPU networking, and power requirements that can easily exceed 300W to 400W per component.
Our manufacturing initiatives prioritize this architectural evolution. By leveraging technologies such as PCIe Gen 5, HBM2/HBM3 high-bandwidth memory systems, and modern 64-bit multi-core processors like the Intel Xeon 6th Gen or AMD EPYC architectures, we provide standard configurations that can support customized neural network training models and massive, high-concurrency database queries. At the storage layer, SAN and NAS configurations rely on NVMe-oF (NVMe over Fabrics) and dual-controller architectures to prevent data path bottlenecks.
| Architecture Level | Hardware Component | Target Workload Optimization | Standard Interface |
|---|---|---|---|
| High Performance GPU | MTT S4000 / Tesla Custom 80GB | Deep Learning Inference, LLM Training & Video Rendering | PCIe Gen4/Gen5 x16, HBM2 |
| Data Processing (CPU) | Xeon Gen 6 Series (e.g., 6768P) | Multi-tenant virtualization, enterprise DB execution | LGA 4710, 64-bit Support |
| Storage Tiering | NetApp AFF A20 / PowerVault ME5024 | Low-latency SAN/NAS blocks, transactional datastores | SAS 12G/24G, NVMe-oF, 10GbE / 25GbE |
| Virtual Desktop Infrastructure | RTX 2000 Ada / RTX A5000 24GB | CAD rendering, 3D animations, remote developer nodes | GDDR6 ECC, Low Profile Options |
Verified operations, global trade reach, and standard quality control protocols established in our engineering centers.
Registered Certifications
ISO 14001
ISO 9001Every integrated system passing through our facility is subjected to a strict 100% component-level inspection and stress testing procedure before being cleared for export. We recognize that computing clusters deployed in critical smart-city tasks, rendering houses, or corporate banking databases cannot afford unscheduled downtime.
By working with over 10 validated supply chain partners, we ensure that every silicon component, GPU module, custom chassis, and redundant power supply is fully traceable from the source. This raw material traceability is critical to meet EU compliance requirements, confirming that components are free from conflict materials and adhere to global environmental criteria under our ISO 14001 framework.
Our specialized engineers hold postgraduate certifications in high-performance computer architectures and embedded systems. Whether you require custom firmware settings to optimize energy usage, or specialized hardware partitioning for virtual environment setups, our R&D team can tailor a solution to meet your goals.
Engineered components designed to expand deep learning storage pools, local video rendering stations, and visualization setups.
Exporting high-tech computer equipment from Spain to non-EU regions requires robust compliance frameworks, certified packaging systems, and partnerships with specialized logistics providers. Our main market coverage spans **Eastern Europe (30%)**, **Middle East (30%)**, and **Africa (20%)**, demonstrating our capacity to manage custom declarations, export licensing, and hardware security assessments across diverse jurisdictions.
Because server assemblies contain highly sensitive silicon components, custom GPU boards, and magnetic or solid-state storage media, packaging design is a critical aspect of our logistics process. All hardware is packed in custom ESD (electrostatic discharge) protective sleeves, cradled in high-density foam structures, and shipped in double-walled export cartons or dynamic shipping crates to mitigate transport vibration.
Through our shipping hubs near the Port of Barcelona and El Prat Airport, we coordinate with reliable logistics partners to offer continuous tracking and secure transit. Additionally, our sales coordinators provide complete commercial documentation, certificates of origin, and conformity declarations to simplify customs clearance at the destination port.
To ensure optimal performance and return on investment, computing hardware must be carefully matched to the target software workload. Below, we outline three common enterprise configurations deployed by our clients:
In smart-city configurations, distributed cameras and IoT sensors feed video streams directly to local edge processing centers. These systems require high-density inference cards like the **Cambricon MLU270F4** or specialized cost-performance graphics accelerators to parse multi-channel visual inputs. Selecting low-power, high-density accelerators helps municipalities run deep learning models at scale without overwhelming localized power grids.
Architectural firms, animation houses, and product design groups require remote Virtual Desktop Infrastructure (VDI) capable of handling heavy viewport processing. Combining multi-core server processors with professional-grade GPUs, such as the **RTX A5000 24GB** or **RTX 2000 Ada**, allows system administrators to partition server resources effectively, providing smooth, high-fidelity rendering performance for multiple remote design professionals.
Modern e-commerce backends and business database applications depend on low latency and continuous file availability. Standard server models, when configured alongside high-throughput storage systems like the **PowerVault ME5024** or **NetApp AFF A20**, provide redundant, multi-path connections to prevent data loss. These configurations help protect transactional databases from interruptions during peak traffic times.
As global energy prices fluctuate and European carbon directives become more stringent, server design must look beyond simple raw processing power to focus on overall system efficiency. Our R&D team is continually researching ways to lower Power Usage Effectiveness (PUE) at the system level.
Key areas of development include supporting liquid cooling setups, integrating high-efficiency titanium-grade power supplies, and designing custom cooling paths within our rack configurations. Additionally, we are preparing for the broader adoption of CXL (Compute Express Link) technologies, which will allow for shared, pooled memory configurations across multiple host servers. This optimization helps reduce hardware waste and maximizes resource utilization, aligning with our ISO 14001 commitment to eco-conscious manufacturing.
Select standard configurations optimized for virtualization, deep learning inference, and high-performance computing.
Technical answers regarding configurations, export logistics, and validation processes from our team.
Contact our Barcelona-based team of system architects to discuss your specific server requirements, custom GPU architectures, or storage arrays.
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