Velorix
Velorix
Explore our premium selection of original scalable rack servers, high-density AI nodes, and spare hardware parts engineered for massive data workloads.
The global paradigm of digital transformation has transitioned from basic cloud virtualization to AI-dominated workloads. Large language models (LLMs) such as DeepSeek, GPT-style networks, and complex generative AI frameworks are exerting unprecedented demands on computing architectures. High thermal design power (TDP), high memory bandwidth, and dense GPU routing configurations are no longer options; they are system prerequisites.
Modern scalable infrastructure requires a delicate equilibrium between power efficiency, high compute density, and rapid storage systems. Key industrial dynamics include:
We specialize in customizing server clusters that serve specific computing niches across the globe.
Multi-GPU platforms optimized for neural network training and DeepSeek deployments.
Hyper-converged nodes combining storage and compute capability with ultra-low latency.
High-density SAS and NVMe storage racks ensuring data preservation and fast recovery.
Founded in 2016, Velorix Intelligent Technology Co., Ltd. has established itself as an authoritative manufacturer and exporter specializing in custom AI GPU servers, high-performance computing (HPC) setups, and hyper-scalable enterprise data center solutions. Based in a modern, streamlined 380㎡ specialized hardware production facility, Velorix delivers standard-setting configurations that satisfy rigorous operational needs in deep learning, artificial intelligence training, database management, and cloud architectures.
Boasting over 10 years of intensive industry experience and 6 years of verified export experience, Velorix has orchestrated large-scale physical deployments across North America, Europe, the Middle East, Southeast Asia, and Oceania. Our global export revenue currently exceeds USD 12 million annually, validating our reliability as a major enterprise server vendor on the international stage.
At the center of our engineering process is our 135-member Research and Development team. Our engineers specialize in server thermal modeling, hardware system tuning, PCIe bus optimization, and custom firmware integration. Additionally, we collaborate with over 850 supply chain and technology partners, ensuring immediate access to rare microchips, high-frequency memory modules, and redundant power supplies. This unparalleled supplier network enabled us to introduce 168 custom server designs and solution variations last year alone to meet changing AI hardware standards.
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Deploying complex server infrastructure demands absolute adherence to regional policies, environmental declarations, and localization standards.
Every rack server, SSD assembly, and custom power distribution unit shipped meets strict safety protocols including CE, FCC, RoHS, UL, and localized electromagnetic compatibility standards.
We work with trusted system integrators in Europe and the Americas to supply next-business-day component dispatch, onsite troubleshooting, and cold-aisle setup advice.
Through our thermal optimization program, Velorix helps customers decrease power usage effectiveness (PUE) ratios, meeting local environmental audits and carbon taxation requirements.
Whether building a local neural network setup or managing a deep learning cluster, our custom solutions—like the FusionServer 2488H V5 configured with multiple high-bandwidth GPU nodes—provide the necessary memory bandwidth and inter-device interconnect speeds. High-density training centers benefit from our customized cooling modules, keeping throttling to a minimum during prolonged runtimes.
For regional CDN nodes, telco base stations, and decentralized cloud environments, compact 1U systems like the PowerEdge R350 provide an ideal blend of processing capacity and physical space conservation. These systems excel in tough operational conditions where remote management and power stability are critical.
Financial organizations require low latency and high hardware uptime. Multi-socket setups equipped with high-performance DDR4 or DDR5 RAM and enterprise-grade SAS SSDs ensure fast transactions and quick handling of vast financial databases without indexing lag.
For complex simulations, physics modeling, and climatic mapping, researchers need scalable GPU clusters. Velorix provides customizable ODM motherboards and open-frame racks that integrate easily into existing institutional campus fabrics.
Velorix stays at the cutting edge of high-performance hardware design. Our engineering timeline outlines our focus areas for the coming years.
We are currently designing compute platforms that leverage CXL (Compute Express Link) 3.0 technology. This allows unified memory pooling across CPUs and accelerator platforms, reducing data copying delays for AI models like DeepSeek.
To support high-power GPU configurations, our R&D department is developing closed-loop liquid-cooling systems that mount directly into standard rack setups, eliminating the need for dedicated raised-floor plumbing.
In response to rising energy costs, we are developing next-generation power systems that transition from 380V DC supply directly to server boards, minimizing step-down energy losses.
Under the command of our 42 dedicated QC technicians, every single chassis, CPU socket, power supply unit, and storage disk undergoes a strict validation matrix before leaving our assembly lines.
Confirming chip authenticity, checking memory sub-timings, and inspecting physical PCB traces under microscope.
Subjecting the hardware to controlled heat chambers to analyze thermal dissipation paths and verify fan-curve algorithms.
Sustaining continuous maximum floating-point calculations for 48 hours to weed out potential hardware failures.
We employ standardized diagnostics suites to guarantee that our servers boot out-of-the-box in production environments without needing immediate firmware patching.
Find detailed answers to common questions about server configurations, hardware customization, shipping, and support.
Access high-capacity memory, SAS storage arrays, and high-efficiency core compute nodes to scale your infrastructure footprint.
