Cloudion
Cloudion
The rise of Large Language Models (LLMs) like DeepSeek and Llama has shifted the demand from traditional CPU-centric computing to massive GPU-parallel architectures. Liquid cooling and PCIe 5.0 integration are now industry standards for managing the thermal envelopes of H100/A100 clusters.
Enterprises are increasingly seeking multi-vendor strategies to mitigate supply chain risks. Procurement now focuses on "Time-to-Training," where the availability of high-density 2U/4U GPU servers determines the speed of AI innovation.
With global data sovereignty laws (GDPR, CCPA), AI training systems must now incorporate hardware-level security (TPM 2.0) and localized technical support to ensure 24/7 uptime for mission-critical workloads.
Cloudion AI Systems Ltd is a high-performance AI GPU server manufacturer dedicated to delivering next-generation computing infrastructure for global AI workloads. Built under the brand CloudionAI, the company specializes in scalable GPU server architectures designed for deep learning, model training, inference acceleration, and cloud data center deployment.
Founded in 2016, we operate a modern 18,600㎡ manufacturing facility equipped with advanced assembly lines and automated testing systems. Our quality control team consists of 48 professional inspectors ensuring strict compliance with global standards through AOI and hardware-in-the-loop testing.
We provide extensive R&D capabilities, supporting custom GPU configurations, chassis design, and firmware-level tuning. Whether it's specialized liquid cooling for high-density racks or hybrid cloud architectures, our team delivers tailored hardware.
Our future focus involves the integration of CXL (Compute Express Link) to solve memory bottlenecks in AI training, alongside the development of modular "LEGO-style" server blocks for rapid scaling of data centers.
Quality assurance is strictly enforced through ISO-based management systems, thermal stress testing, and full system load validation. Every unit undergoes rigorous burn-in testing before dispatch.
A leading manufacturer must provide high-density GPU support (e.g., 8-10 GPUs in 4U), advanced thermal management (Liquid-to-Air or Cold Plate), and robust power redundancy. Reliability under 100% load for months at a time is the ultimate E-E-A-T benchmark.
We utilize multi-stage functional verification and thermal stress testing. Our custom chassis designs optimize airflow pathways, and we offer liquid cooling solutions for next-gen chips that exceed air-cooling capacities.
Absolutely. Our servers, like the FusionServer and xFusion series, are optimized for high-throughput memory and interconnects required for DeepSeek, Llama 3, and other large-scale model training and inference workloads.
Leveraging our 1,100+ upstream partners and 320-strong R&D team, we can move from design to prototype significantly faster than industry averages, typically delivering within 4-8 weeks depending on component complexity.
