Devixa
Devixa
Industry-leading AI GPU Servers and Rack Solutions
In the rapidly shifting landscape of global technology, the demand for high-density, energy-efficient data center infrastructure has reached an unprecedented peak. As Semantic Search and LLM (Large Language Models) training become the core of enterprise intelligence, the hardware supporting these workloads must evolve from traditional general-purpose servers to specialized AI GPU server clusters.
Modern data centers are no longer just storage facilities; they are the "engines" of the digital economy. The transition toward Liquid Cooling and High-Performance Computing (HPC) is driven by the need to manage the massive thermal output of next-generation chips like NVIDIA H100/H200 and Blackwell architectures.
The global data center infrastructure market is projected to grow at a CAGR of 7.5% through 2030, with specialized OEM/ODM services in the Asia-Pacific region leading the manufacturing charge due to superior supply chain integration.
Leveraging Industry 4.0 protocols, modern factories in China utilize automated assembly lines and AI-driven quality control (IQC, IPQC, FQC) to ensure zero-defect production of complex motherboard systems.
With over 1,150 supply chain partners, Devixa ensures that critical components like high-speed SAS HDDs, RAID cards, and PCIe risers are always in stock, reducing lead times for custom ODM orders by 40%.
Diversified logistics and 8 years of export experience allow for seamless delivery to North America, Europe, and the Middle East, bypassing global bottlenecks through strategic warehousing.
Devixa Technologies Inc. is a professional manufacturer specializing in AI GPU servers, high-performance computing (HPC) systems, and customized AI infrastructure solutions. Since its establishment in 2016, Devixa has focused on delivering reliable, scalable, and energy-efficient computing platforms.
With a modern manufacturing facility covering 18,600 m², Devixa integrates hardware design, system integration, and testing under one roof. Our engineering team develops platforms compatible with leading accelerator technologies, offering flexibility for AI training, inference, and big data analytics.
| Metric | Details |
|---|---|
| Registration Date | April 18, 2016 |
| Annual Export | USD 28.4 Million |
| R&D Team | 126 Engineers |
| QC Staff | 42 Specialists |
| Compliance | 100% Quality Inspection |
| OEM/ODM Scope | BIOS, Chassis, Logo, Hardware |
Localized deployment of xFusion and Dell Poweredge series for high-availability private clouds. Optimized for virtualization and hybrid-cloud orchestration.
High-density GPU workstations for university labs and research institutes, supporting Deepseek, PyTorch, and TensorFlow frameworks with Xeon-based efficiency.
Secure, redundant rack servers with hardware-level RAID and high-speed SAS storage for real-time transaction processing and algorithmic trading.
Procurement directors are no longer just comparing raw specs; they are looking for Information Gain in their infrastructure. This means hardware that offers better thermal telemetry, predictive maintenance alerts, and seamless integration with AI orchestration software. As a leading OEM/ODM exporter, Devixa provides the specialized "under-the-hood" customizations that standard off-the-shelf products lack.
OEM/ODM allows businesses to tailor hardware to specific software requirements, optimizing thermal design for specialized workloads (like AI inference), reducing unnecessary component costs, and ensuring long-term hardware lifecycle management that off-the-shelf solutions can't provide.
Our process includes IQC (Incoming), IPQC (In-process), 24-48 hour Burn-in testing, and OQC (Outgoing). For AI servers, we specifically test GPU interconnects (NVLink/PCIe) under full load to ensure stability during intensive training sessions.
Yes, our designs focus on 80 PLUS Platinum/Titanium efficiency for power supply units (PSUs) and utilize advanced BIOS power management to meet the strict energy-efficiency requirements of modern green data centers.
Thanks to our Industry 4.0 supply chain integration, standard custom builds are typically dispatched within 2-4 weeks, significantly faster than the industry average of 8-12 weeks for enterprise-grade hardware.
Expanding Your Infrastructure with Reliable Hardware
