Velorix Velorix

Custom OEM AI GPU Hosting Factory & Suppliers

Architecting the Future of High-Performance Computing through Scalable, Reliable, and Energy-Efficient GPU Infrastructure.

🌐 The Macro-Economic Landscape of AI GPU Hosting

In the era of Generative AI and Large Language Models (LLMs) like DeepSeek and GPT-4, the global demand for AI-centric infrastructure has shifted from generic cloud computing to Specialized GPU Hosting. As enterprises move beyond experimentation and into production-grade AI integration, the "one-size-fits-all" approach of public clouds often leads to prohibitive costs and data sovereignty issues.

Custom OEM AI GPU Hosting provides the critical link between hardware innovation and real-world deployment. By leveraging direct factory-to-datacenter manufacturing, organizations can bypass the "Cloud Tax" while gaining access to highly optimized server architectures that specifically address thermal management, high-speed interconnects (NVLink), and massive parallel processing needs.

"According to industry benchmarks, customized GPU clusters can improve training efficiency by 40% compared to standard virtualized instances, primarily by reducing IO bottlenecks and optimizing cooling efficiency at the hardware level."
10+ Years Industry Experience
$12M+ Annual Export Revenue
135+ R&D Engineers
850+ Supply Chain Partners

πŸ› οΈ Macro Industry Solutions & Application Scenarios

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Deep Learning & LLM Training

Optimized for multi-node GPU clustering with InfiniBand or 400G Ethernet, enabling the training of models with billions of parameters without latency bottlenecks.

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Scientific Simulation & Research

Supporting molecular dynamics, genomic sequencing, and climate modeling with high-density FP64 precision computing nodes.

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Smart City & Edge AI

Deploying ruggedized, short-depth GPU servers for real-time video analytics and autonomous vehicle orchestration in localized data centers.

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Quantitative Finance

Ultra-low latency hardware configurations designed for high-frequency trading algorithms and complex risk simulation models.

🏒 Company Profile: Velorix Intelligent Technology

Founded in 2016, Velorix Intelligent Technology Co., Ltd. is a professional manufacturer specializing in AI GPU servers, high-performance computing 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.

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Verification

Component & Power Stability

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Burn-in

Thermal Performance Testing

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Validation

Network & System Benchmarking

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Delivery

Global Integrated Logistics

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 to ensure maximum reliability and performance.

🌍 Localization Support & Compliance Assurance

Operating in the global AI market requires more than just high-end hardware; it requires a deep understanding of Regional Compliance (CE, FCC, RoHS, UL) and localized technical support. Velorix provides end-to-end assistance for international clients, ensuring that AI GPU clusters meet local energy efficiency standards and data center certifications.

North America & Europe

Focus on UL/CE certification, TAA compliance for government contracts, and support for liquid-cooling standards to meet green energy mandates.

Middle East & SE Asia

Optimized thermal management for high-ambient temperature environments and localization of on-site technical support for rapid data center deployment.

πŸš€ Technical Roadmap & Future Outlook

As we look toward 2026 and beyond, Velorix is pivoting toward "Integrated AI Silos"β€”hardware-software co-designed systems that come pre-loaded with optimized kernels for models like DeepSeek-V3. Our roadmap focuses on three pillars:

  • Next-Gen Cooling: Immersion and Direct-to-Chip (D2C) liquid cooling integration for GPUs exceeding 700W TDP.
  • Optical Interconnects: Replacing traditional copper with silicon photonics to reduce latency between GPU nodes.
  • AI Hardware Modularization: Allowing rapid hot-swapping of compute modules as NVIDIA, AMD, and Intel release new architectures.
  • Sustainability: Designing servers for a 95% recyclability rate at end-of-life.

❓ Frequently Asked Questions

What are the advantages of OEM AI GPU Hosting over public cloud providers?
OEM solutions offer significant TCO (Total Cost of Ownership) savings for long-term projects, full control over hardware specifications (CPU-to-GPU ratios), enhanced data privacy, and zero latency fluctuations common in multi-tenant cloud environments.
How does Velorix ensure thermal stability in high-density GPU racks?
We use advanced computational fluid dynamics (CFD) modeling during the design phase and equip our servers with high-RPM redundant fans, optimized air shrouds, and optional liquid cooling loops for 4U/8U high-density configurations.
Do you support custom branding and software pre-installation?
Yes, as a full-service ODM, we offer private labeling (chassis branding), custom BIOS/UEFI settings, and can pre-load OS, drivers (CUDA/ROCm), and AI frameworks like PyTorch or TensorFlow based on your specifications.
What is the typical lead time for a customized AI GPU cluster?
Depending on the component availability and customization complexity, typical lead times range from 4 to 8 weeks for standard configurations and 12+ weeks for large-scale, fully customized data center deployments.