XFusion FusionServer G8600 V7 Enterprise 8U Rack Server with 32×DDR5 DIMM

Core selling points

1. Flagship-level 8-GPU computing power, the first choice for large model training

Supports top-tier HGX H20/H100 8-GPU modules, leading the industry in single-machine computing power, suitable for LLM, multimodal, and autonomous driving large model training.

PCIe 5.0 retimer-free design, zero data link loss, maximizing GPU performance.

2. Fully modular, cable-free, extremely easy to maintain

Six modules—CPU/GPU/Storage/IO/Power Supply/Fan—are all independent, hot-swappable, and cable-free.

Components can be replaced without removing the server, reducing maintenance time by 2.5 times.

3. Dual-zone power supply, ultimate energy efficiency

54V (GPU) + 12V (CPU) dual-plane power supply reduces conversion losses, saving 76W+ per unit.

Self-developed 96% titanium power supply, 2% more efficient than industry platinum power supplies, saving up to 200W per unit.

Innovative GPU MPC intelligent cooling reduces fan power consumption by 1.1% and improves 8080++ fan cooling capacity by 30%.

4. Flexible topology, adaptable to all scenarios. One-click software switching between NVIDIA high-performance and balanced dual topologies balances training speed and cluster scalability.

12×PCIe 5.0 + OCP 3.0, supporting IB/200G high-speed network cards, eliminating I/O bottlenecks.

AI Training and Inference: It forms the crucial computational foundation for training deep learning models, enabling faster iteration of models in image, speech, and natural language processing, allowing for quicker optimization and performance improvements.

High-Performance Computing (HPC): Research institutions, meteorological departments, and oil companies often require large-scale parallel computing, such as calculations in molecular dynamics and fluid mechanics. HPC meets these needs, helping to solve complex problems.

Intelligent Cloud and Data Analytics: In public or private clouds, it's a key component providing AI computing power, supporting various AI services on the cloud and enabling faster operation of applications like big data analytics and video/image analysis.

Healthcare and Finance: In the healthcare industry, it assists in PACS image analysis and supports AI-assisted diagnosis in medicine; in the financial industry, core businesses such as high-frequency trading, risk control, and robo-advisors rely heavily on it.