Veltrixa
Veltrixa
High-Density Rack-Mount Servers and Components Tuned for Maximum CUDA Core and Tensor Core Performance.
As Artificial Intelligence scales globally, computing infrastructure sits at the heart of commercial competitiveness. Enterprise procurement of NVIDIA GPU servers is no longer a simple transactional purchase—it is an intricate exercise in structural design, power topology mapping, network fabric planning, and supply chain navigation.
Organizations deploy models ranging from specialized vision networks to monolithic Large Language Models (LLMs) like Llama-3 and DeepSeek. These architectures demand highly unified GPU configurations. Modern compute clusters rely on dense interconnect topologies, where the physical server design must handle extreme thermal limits (often exceeding 700W per GPU board) and massive high-speed communication pipelines via NVLink, PCIe Gen5/Gen6, and ultra-high-speed network interface cards (such as NVIDIA ConnectX-7 and BlueField-3 DPUs).
Shenzhen Veltrixa Intelligent Computing Co., Ltd. resolves these complexities by providing turnkey manufacturing capability paired with local structural and electronic engineering expertise. Through custom assembly, deep BIOS testing, and rigorous burn-in validation, we ensure enterprise servers function optimally out of the box, mitigating latency, throttling, and field failure rates.
* These factors dictate the total cost of ownership (TCO) and actual runtime operational efficiency for hyperscalers and enterprises.
How our custom server architectures deploy to power AI, research, and data intensive workloads globally.
Configured with high-density server configurations (e.g., Veltrixa dual-socket and quad-socket servers), cloud providers maximize VM density, enabling multi-tenant GPU virtualization (MIG) for scalable AI workloads.
Empowering global research institutes and universities to perform complex simulations, physical modeling, and genomic sequencing. High-speed networking integrates node-to-node memory pools without bottlenecks.
Specifically tuned systems matching memory speeds with massive L3 caches. Optimized to handle high token generation throughput, minimizing context-window memory overflows during heavy multi-agent queries.
The roadmap for AI servers is defined by increasing TDP requirements and the necessity of high-bandwidth memory (HBM3e and next-gen HBM4). We are transitioning from traditional air-cooled structures to Hybrid Liquid Cooling loops and Direct-to-Chip (D2C) liquid cooling configurations. This design supports the scaling of the platform into Blackwell and future architectural generations.
Additionally, modern rack-scale designs must accommodate the unified compute plane. By implementing PCIe Gen 5/6 retimers, switching configurations, and CXL (Compute Express Link), memory overhead is drastically lowered. As a result, CPU-to-GPU dynamic allocation operates at near-native hardware bus speeds, reducing cache coherency penalties across cluster nodes.
Veltrixa's ongoing R&D focuses on thermal engineering, validating systems capable of dissipating up to 100kW per rack, ensuring clients are ready to scale their physical footprint as hardware TDP scales.
Shenzhen Veltrixa Intelligent Computing Co., Ltd. is a leading manufacturer and solution provider specializing in AI GPU servers, high-performance computing (HPC) platforms, edge AI systems, and customized data center infrastructure. Established in 2017, the company is committed to delivering reliable, scalable, and high-efficiency computing solutions for enterprises, cloud service providers, AI startups, research institutions, and system integrators worldwide.
Located in Shenzhen, China, Veltrixa operates a modern production facility covering 386 m², equipped with advanced assembly, testing, and quality control systems. With a strong focus on innovation and customer satisfaction, we provide flexible OEM and ODM services tailored to diverse computing requirements.
Our solutions are designed around long-term reliability. We integrate components from the world's most stable technology providers, offering customizable options including full OEM, ODM, Private Label, Hardware Configuration Customization, and Rack-Level Integration.
Quality is at the core of everything we do. Veltrixa implements a comprehensive quality management system to ensure every product meets international standards and customer expectations.
Veltrixa continuously invests in technology innovation and product development to stay ahead in the rapidly evolving AI computing industry.
Enabling seamless border clearance, local configuration, and deployment SLAs across major markets.
We work closely with global logistic providers to ensure shipping paperwork is compliant with regional export laws. Every system carries international certifications (FCC, CE, RoHS, UL/CB) ensuring quick customs clearance and safe integration into enterprise server environments.
Our supply chain ecosystem of 1,280+ partners guarantees genuine parts sourcing. From storage backplanes and SAS RAID controllers down to individual capacitors and power supplies, Veltrixa ensures high component-level reliability to extend overall system MTBF.
For systems operating in North America, Western Europe, and Southeast Asia, we coordinate with localized technical hubs to offer replacement component delivery (RAM, SSDs, PSUs, Fan Modules) ensuring minimum system downtime for business-critical operations.
Expert insights on design, performance configurations, and ordering processes.
We conduct 100% Pre-Shipment Inspection. This includes memory testing with Memtest86, network throughput tests, full storage drive read/write performance testing, CPU and GPU stress tests under maximum loading for a minimum of 24-48 hours, thermal loop validation to check fan profiles, and BIOS/BMC IPMI remote management configuration verification.
Yes, we provide full OEM and ODM customization services. This includes private labeling (chassis styling and corporate branding), BIOS splash screen customization, unique PCIe PCIe card layouts, specialized mechanical rails, custom storage options, and custom multi-GPU network topologies.
AI training models demand high data throughput to avoid GPU idling. We design servers with multiple PCIe Gen 5 slots linked directly to the CPUs, avoiding latency bottlenecks. We also integrate redundant Platinum or Titanium efficient PSUs (up to 2000W+) to protect hardware components against sudden power spikes during model backward passes.
Select from our specialized server options, power components, and custom network risers to build out your server clusters.
