Velorix
In the era of hyper-scale AI models, deep learning deployments, and complex containerized microservices, modern organizations no longer view cloud infrastructure as a binary choice between public cloud and on-premises deployments. Today's digital transformation requires a hybrid cloud framework that seamlessly integrates local raw compute power with dynamic, off-premises elasticity.
For enterprises deploying models like DeepSeek, Llama, and complex large language models (LLMs), latency, data sovereignty, and compute economics are crucial. Running 100% of these workloads in the public cloud can lead to high data egress costs and storage bottlenecks. Conversely, running entirely on-premises can limit access to temporary burst capacity.
Definition of Hybrid Cloud Hardware Optimization: It is the custom architectural layer where bare-metal physical servers, local high-speed NVMe storage arrays, and network interface cards (such as PCIe Gen 4/5 HBA controllers) are specifically provisioned to handle local data processing and inference. They coordinate with remote cloud service orchestrators, minimizing latency and maximizing computing efficiency.
As leading hardware developers and manufacturers, we supply the core building blocks that make these hybrid models reliable, secure, and cost-effective. By designing custom servers equipped with Intel Xeon Scalable Processors, high-performance DDR4/DDR5 ECC RAM modules, and state-of-the-art enterprise-grade HBA controller cards, we bridge the gap between physical factory precision and virtualized cloud systems.
Founded in 2016, Velorix Intelligent Technology Co., Ltd. is a professional manufacturer specializing in AI GPU servers, high-performance computing (HPC) systems, GPU clusters, and customized AI infrastructure solutions. With a modern production facility covering 380㎡, we provide reliable and scalable computing platforms for AI training, AI inference, deep learning, cloud computing, and data center applications.
Leveraging 10 years of industry experience and 6 years of export experience, Velorix has successfully delivered advanced GPU server solutions to customers worldwide. Our annual export revenue exceeds USD 12 million, reflecting our strong manufacturing capabilities and growing global presence.
Quality is at the core of everything we do. We operate a comprehensive quality management system supported by 42 dedicated quality control personnel. Every product undergoes strict inspections, including component verification, burn-in testing, thermal performance testing, power stability testing, network validation, and final system performance benchmarking to ensure maximum reliability and performance.
As a manufacturer with integrated production and international trading capabilities, Velorix serves customers across North America, Europe, the Middle East, Southeast Asia, and Oceania. Our products are widely used by AI startups, research institutions, cloud service providers, system integrators, enterprise data centers, and HPC solution providers.
To maintain innovation and technological leadership, we have established strategic partnerships with more than 850 supply chain partners and technology suppliers. Our research and development team consists of 135 experienced engineers focused on server architecture optimization, AI computing solutions, thermal management technologies, and customized hardware integration.
Velorix offers comprehensive OEM and ODM services, enabling customers to customize GPU configurations, CPU platforms, memory capacity, storage architecture, networking solutions, rack integration, branding, and software deployment according to project requirements. Our strong R&D capability allows us to rapidly transform customer concepts into market-ready solutions. Last year alone, we launched 168 new products and solution variants to meet the rapidly evolving demands of the AI and high-performance computing industry.
The global demand for cloud hardware requires a fast, responsive, and resilient manufacturing pipeline. Strategically located in Shenzhen, China's premiere high-tech hardware ecosystem, Velorix utilizes local industrial density to offer design-to-production cycles that are faster than Western markets.
By sourcing raw components, server chassis, and copper heat sinks directly from nearby partner foundries, we minimize internal logistics lead times. This allows us to offer competitive prices and ensure consistent supply.
Our factory integrates precision CNC metalwork, high-density surface mount technology (SMT) verification, and automated system testing. This ensures that customized motherboard layers and multi-port HBA structures are built to exacting standards.
Our team of 135 design engineers can adapt layouts, adjust PCIe channel mapping, design custom heat sinks, and assemble functional prototypes for customer validation in days, rather than months.
For hybrid cloud environments, supply chain resilience is about component compatibility and software integration as much as raw hardware. Velorix works closely with silicon suppliers like Intel, AMD, and NVIDIA, as well as storage card providers like Emulex and Broadcom, to ensure our chassis and motherboards support the latest PCIe 4.0/5.0 interfaces and high-speed multi-gigabit connections.
The hardware driving hybrid cloud structures must evolve to keep pace with modern data centers. Velorix's R&D roadmap focuses on three main developments designed to future-proof customer server rooms and data centers:
With data transfer speeds scaling up, PCIe Gen 5.0 is key for high-density environments. Our next generation of server mainboards supports higher bus frequencies, double the bandwidth of PCIe 4.0, and compatible connection routing. This ensures that new HBA cards and NVMe storage systems operate at full bandwidth without bottlenecks.
As AI GPU workloads increase heat production, traditional fan-based cooling is reaching its limits. Velorix is developing liquid-to-air cooling options and integrated liquid loops for 1U, 2U, and 4U systems. These configurations reduce energy use and protect processor performance during extended computing tasks.
Future system builds will use CXL to enable memory sharing between CPUs, GPUs, and specialized accelerators. By reducing memory latency and pooling resources across server clusters, Velorix helps enterprises build hybrid installations that handle complex analytical workloads with ease.
Different sectors have unique infrastructure needs. Velorix configures and optimizes its hardware platforms to support specialized applications across several major industries:
Requires low-latency processing and redundant hardware configurations. Velorix designs custom 1U dual-socket servers with fast Intel processors and high-performance HBA controllers to support real-time transactions and risk analysis.
Demands high compute capability and secure data storage. Velorix provides GPU servers and rackmount systems that process massive data sets while complying with security regulations like HIPAA.
Relies on real-time video processing. Our edge AI processors and GPU systems decode multiple video feeds simultaneously, providing low-latency intelligence for municipal traffic and safety monitoring.
Buying custom server hardware from an international supplier requires attention to detail. Velorix simplifies this process with a comprehensive international procurement framework:
A: Our servers feature IPMI 2.0 management utilities, high-bandwidth network ports, and compatible PCIe layouts. This allows IT teams to manage hardware remotely and coordinate local compute resources with public cloud environments like AWS, Azure, and Google Cloud.
A: We support both DDR4 and DDR5 ECC RDIMM modules across multiple slots, along with hot-swappable NVMe drive bays. Additionally, integrated SAS/SATA/NVMe RAID controllers allow for flexible storage tiering.
A: Through our OEM and ODM services, clients can customize processor configurations, cooling options, power supply capacities, and network ports, as well as apply custom branding to the server front plates and bios systems.
A: Each server undergoes component verification, extended thermal and load testing, power stability checks, and performance benchmarking before being cleared for shipment.
A: Yes, our high-density GPU servers are designed to handle memory-intensive models like DeepSeek, utilizing high-bandwidth connection lanes to minimize latency.
Take an inside look at our advanced engineering lines, testing cells, and structural component warehouses. Below are the actual production and testing sites where we construct and validate our server platforms: