Zentraix
The global landscape of data center infrastructure is undergoing a seismic shift. As generative AI models like DeepSeek, GPT-o1, and Llama 3 become integral to enterprise operations, the demand for "Accelerated Computing" has replaced traditional general-purpose CPU computing. This evolution is driven by several key factors:
Modern AI racks now consume 40kW to 100kW per rack, requiring advanced power distribution and liquid cooling technologies that were previously reserved for supercomputing centers.
While training happens in mega-clusters, low-latency inference is moving to regional data centers, driving demand for short-depth, high-density 1U and 2U GPU servers.
Data throughput bottlenecks are being addressed through the rapid adoption of PCIe 5.0 interfaces and 400G/800G InfiniBand networking for seamless multi-GPU communication.
Zentraix Computing Technology Co., Ltd. is a professional manufacturer and solution provider specializing in AI GPU servers, high-performance computing (HPC) systems, GPU clusters, and customized AI infrastructure solutions. Established in 2016, Zentraix has rapidly grown into a trusted supplier serving global enterprises, research institutions, cloud service providers, and AI startups.
Located in Guangdong, China, our modern manufacturing facility covers over 3,800 square meters and integrates production, testing, assembly, and R&D operations under one roof. With years of expertise in AI computing hardware, we are committed to delivering reliable, scalable, and high-performance server solutions for AI training, inference, deep learning, big data analytics, and scientific computing.
Quality is at the core of everything we do. Our dedicated quality assurance department consists of 35 skilled inspectors who conduct comprehensive quality control procedures throughout the entire production process. Every server undergoes component verification, burn-in testing, performance benchmarking, thermal stability testing, compatibility testing, and final functional inspection before shipment.
Scalable rack-level integration including GPU nodes, high-speed storage fabric, and orchestration software for Fortune 500 AI labs.
Optimized configurations for universities and research institutes using open-source frameworks like PyTorch and TensorFlow.
Retrofitting existing sites with energy-efficient 2U 4-socket servers and high-density storage arrays to lower TCO (Total Cost of Ownership).
Navigating the global regulatory environment is critical. Zentraix ensures all exported equipment meets the following standards:
By 2026, Zentraix aims to lead the industry in Liquid-to-Chip cooling solutions and Photonic Interconnects. Our R&D focus is currently on "Sustainable Computing"—reducing the PUE (Power Usage Effectiveness) of AI data centers from the current average of 1.58 down to 1.15 through innovative thermal management and AI-driven power capping.
We are also developing Sovereign AI Infrastructure, allowing nations and large corporations to build private, secure clouds that operate independently of major public cloud providers, ensuring data residency and security.
Our servers are specifically designed with high-airflow chassis, redundant 80 Plus Platinum power supplies, and specific PCIe lane configurations (X16/X16) to ensure zero bottleneck for NVIDIA and AMD GPU accelerators.
For custom ODM projects, we conduct pre-compliance testing in our internal labs and finalize certification through third-party accredited bodies (like TUV or SGS) to ensure the final product meets all EU safety and EMC requirements.
Standard server configurations typically ship within 2-3 weeks. Large-scale rack-level integration projects usually require 6-10 weeks, including burn-in testing and global logistics coordination.
Yes, our hardware is optimized at the BIOS and OS level to support the latest KV-cache techniques and memory bandwidth requirements of DeepSeek-V3 and other Large Language Models.