Veltrixa
Explore our cutting-edge AI-focused, short-depth, high-capacity rack systems engineered for maximum throughput, computational power, and enterprise reliability.
Established in 2017, Shenzhen Veltrixa Intelligent Computing Co., Ltd. has positioned itself at the epicenter of hardware innovation as a top-tier manufacturer and exporter of enterprise server architectures, AI GPU systems, High-Performance Computing (HPC) nodes, and customized cloud infrastructure. Backed by 12 years of industry engineering experience and 7 years of global export proficiency, we supply the critical hardware enabling AI breakthroughs, deep learning networks (such as DeepSeek optimization), massive-scale NAS database infrastructures, and complex neural net training systems.
Operating a modernized, tightly-integrated facility in Shenzhen, China, we operate with a vast industrial supply web exceeding 1,280 certified supply chain partners. This vast network allows us to provide unmatched hardware configuration options (OEM, ODM, private label) while keeping latency and structural components costs down, securing a massive market share across North America, Western Europe, Southeast Asia, Australia, and the Middle East.
Our core mission is straightforward: empower hyper-scalers, research institutes, enterprise IT divisions, and cloud service providers with high-density, liquid-cooled, and air-cooled server solutions that maximize computing density while lowering the overall Total Cost of Ownership (TCO).
Understanding how the integration of localized components networks, production agility, and deep engineering knowledge leads to unmatched infrastructure value.
Situated directly within Shenzhen, Veltrixa maintains direct access to chip packaging, PCB fabrication, structural sheet metal production, and system-level IC suppliers. With over 1,280+ partners, components sourcing lead-time is reduced to days instead of months, ensuring rapid turnaround on high-priority orders.
Our facility's 86 hardware engineers can transform customized specification blueprints (e.g., custom GPU spacing, unique chassis sizing, specific liquid cooling piping routes) into functional physical prototypes within exceptionally short engineering cycles, accelerating system verification testing.
We leverage a strict quality policy. 100% of our products undergo intensive pre-shipment quality gates. Functional, environmental, thermal load stress, and software-compatibility testing ensure all systems achieve maximum reliability and hold international compliance standards.
As deep learning model parameter counts explode, server designs are transitioning to meet high thermal outputs and severe data bandwidth demands:
Modern data centers are transitioning from classic general-purpose CPU architectures to specialized heterogenous compute networks. AI acceleration requires massive parallel processing pipelines, calling for specialized structures like the xFusion FusionServer G8600 V7 8U or short-depth multi-node computing setups.
Furthermore, cloud systems demand zero storage bottlenecks. Modern applications require NVMe drives with high IOPS and minimal write amplification, alongside high-bandwidth SAS interfaces backed by PCIe 4.0 RAID controller cards. These configurations safeguard massive databases, NAS configurations, and distributed storage systems from hardware interruptions and localized channel overloads.
By constantly tracking global computational standards, Veltrixa released 124 new system variations last year alone, addressing trends in hyper-converged hardware virtualization, cloud container performance optimization, and custom enterprise workstations.
Connecting physical hardware with targeted, real-world workloads to ensure maximum hardware efficiency across diverse industrial sectors.
Our multi-socket GPU platforms and high-density rack units are designed for Cloud Service Providers (CSPs). Configured with high-speed network interfaces (up to 10Gbps dedicated systems), they support seamless virtual machine division, high container density, and distributed load balancing.
Utilizing low-latency SAS RAID controllers, such as the 9540-8i RAID PCIe 4.0 card, we assemble robust storage configurations for finance, banking, and ERP databases. Combined with high-end, multi-TB Enterprise SSDs (Samsung PM883/PM893/PM9A3 series), we guarantee maximum data longevity and fault tolerance.
For research labs and universities, Veltrixa designs quiet, compact, and optimized hardware workstations. These configurations are ideal for medical image processing, computer vision training (robot server applications), automated manufacturing inspection systems, and seismic data analysis.
Purchasing critical enterprise IT and data center hardware requires careful evaluation of technical compliance, logistics, cost control, and product reliability. Global procurement teams face the challenge of balancing budget limits with strict hardware performance requirements. Veltrixa addresses these challenges by aligning with standard sourcing protocols:
Our quality verification processes are managed by 46 QA professionals. We maintain high standards through rigorous testing protocols:
| Test Protocol | Scope & Execution |
|---|---|
| Burn-In Testing | Continuous 48-hour thermal load cycle under full CPU/GPU computational stress. |
| Compatibility Check | Verification of operating system environments (Linux, Windows Server, VMware ESXi). |
| PCIe Link Verification | Testing high-speed interfaces, including RAID controller cards and expansion lanes, to ensure zero-loss link performance. |
| Thermal Mapping | Infrared thermal mapping to identify hotspots and optimize internal cooling fan configurations. |
Step inside our 386 m² Shenzhen plant, featuring modern hardware assembly lines, dedicated burn-in chambers, and strict QC testing bays.
Common questions answered by our engineering and systems architecture teams regarding hardware compatibility, thermal management, and procurement.
Maximize your operational capacity with high-performance DDR4 RAM, high-reliability enterprise SSDs, and advanced RAID control cards.