Servidor Xinchuan | Proveedor de hardware de servidor empresarial
Ten GPUs. One Node. Zero Compromise.
The xFusion FusionServer G5500 V7 is a 4U GPU-accelerated server that pushes the boundary of single-node AI compute density – apoyando hasta 10 dual-width GPUs including NVIDIA H100, A100, and next-generation accelerators. Con 18 Ranuras PCIe (10 dedicated GPU x16 Gen5 lanes), dual Xeon 4th/5th Gen processors, y 12 NVMe bays, the G5500 V7 is purpose-built for large language model training, deep learning inference at scale, and GPU-accelerated HPC.
Especificaciones clave
| Componente | Especificación |
|---|---|
| Factor de forma | 4servidor en rack U |
| Procesador | 2x Intel Xeon escalable de 4.ª y 5.ª generación (TDP máximo de 385W) |
| Memoria | 32 DIMM DDR5, hasta 8 tuberculosis |
| Soporte de GPU | Up to 10x dual-width GPUs (NVIDIA H100/A100/L40S) |
| Ranuras PCIe | 18 total (10x GPU-dedicated PCIe 5.0 x16) |
| Almacenamiento | 24x 2.5/3.5-inch + hasta 12 SSD NVMe |
| Fuente de alimentación | 2+2 o 3+1 redundante, 4x 3000W Titanium/Platinum |
| Gestión | iBMC con API Redfish, SNMP, and predictive failure analysis |
Recommended Configurations
| Scenario | GPU | UPC | Memoria | Almacenamiento | Redes |
|---|---|---|---|---|---|
| LLM Training (70B+) | 10x H100 80GB SXM | 2x Xeon Platinum 8480+ (56do) | 4TB DDR5 (16x 256GB) | 8x 7.68TB NVMe | 8x 400G InfiniBand NDR |
| Multi-Tenant Inference | 10x H100 80GB (MIG enabled) | 2x Xeon Gold 6448Y (32do) | 2TB DDR5 (16x 128GB) | 4x 3.84TB NVMe | 4x 200G Ethernet |
| HPC Simulation | 10x A100 80GB | 2x Xeon Platinum 8470 (52do) | 2TB DDR5 (32x 64GB) | 4x 7.68TB NVMe (REDADA 10) | 4x 200G InfiniBand HDR |
| AI Development Sandbox | 8x L40S 48GB | 2x Xeon Gold 6430 (32do) | 1TB DDR5 (16x 64GB) | 4x 3.84TB NVMe | 2x 100G Ethernet |
Cargas de trabajo ideales
- Large Language Model Training: 10-way GPU fabric with PCIe 5.0 x16 lanes per GPU ensures maximum interconnect bandwidth for distributed training of 70B+ parameter models across a single node.
- Multi-Tenant AI Inference: GPU partitioning with MIG on NVIDIA H100 enables secure, isolated inference serving for multiple teams.
- Scientific HPC: Molecular dynamics, weather modeling, and CFD that scale across GPU arrays.
- Video and Image Analytics: Real-time transcoding, object detection, and computer vision pipelines.
Migrating from G5500 V6 to V7
| Artículo | G5500 V6 | G5500 V7 | Impact |
|---|---|---|---|
| GPU slots | 8x PCIe Gen4 x16 | 10x PCIe Gen5 x16 | +25% GPU capacity, 2x bandwidth |
| UPC | Xeon Scalable 3rd Gen | Xeon Scalable 4th/5th Gen | DDR4 ? DR5, higher core count options |
| Memoria | 32x DDR4 (up to 8TB) | 32x DDR5 (up to 8TB) | Faster speeds at same capacity |
| NVMe | Hasta 8 unidades | Hasta 12 unidades | 50% more flash capacity |
| Fuerza | 4x 3000W (3+1) | 4x 3000W (2+2 o 3+1) | Flexible redundancy; supports 10x H100 |
| Gestión | iBMC (V5) | iBMC (V7) with Redfish | Improved telemetry, predictive failure analysis |
Migration note: GPU modules from V6 (A100, A40) are physically compatible with V7 PCIe slots, but verify power budget and cooling – the V7 chassis supports higher TDP per GPU slot. DDR4 DIMMs are not compatible with V7 (DDR5 only). iBMC firmware and management tooling should be upgraded to V7-compatible versions before migration.
What Is in the Box
Every G5500 V7 ships with: 4U chassis, GPU riser cages and power cables (quantity depends on GPU configuration), rack rails (adjustable 800mm-1200mm depth), cable management arm, 4x power cables (C19), front bezel, Quick Start Guide, and Safety & Regulatory documentation. GPU, CPUs, memoria, unidades, and network adapters are installed per your configuration. Nota: due to weight (up to 80kg fully loaded), a server lift or two-person handling is required for rack installation – plan your data center logistics accordingly.
Buying FAQ
Q: 10 GPUs vs 8 GPU – is the extra 2 worth it?
At single-node scale: modest. At cluster scale: significant. Five G5500 V7 nodes deliver 50 GPUs in 20U. Six 8-GPU servers deliver 48 GPUs in 36U. That is 44% more rack space for fewer GPUs. For colocation customers paying per-rack, the G5500 V7’s density advantage translates directly to lower monthly costs.
Q: H100 vs A100 vs L40S – which GPU should I choose?
H100 for training and high-throughput inference (Transformer Engine, FP8). A100 for mixed HPC+AI workloads where FP64 matters. L40S for inference-dominant, budget-sensitive deployments where 48GB is sufficient. Our engineers can run a workload analysis to recommend the optimal GPU.
Q: Do I need liquid cooling for 10x H100?
No. The G5500 V7 is designed for air cooling with its optimized thermal architecture and high-performance fans. 10x H100 at 700W each = 7kW GPU power + ~1kW CPU/platform. Ensure your data center cold aisle can deliver sufficient airflow. For edge or constrained environments, consult our thermal engineering team.
Por qué abastecerse a través de Xincuan?
We configure G5500 V7 servers with your choice of GPU accelerators, NVMe storage tiering, and high-speed networking. Precios directos de fábrica, 3-año de garantía del fabricante, logística global con seguro a todo riesgo, and free AI infrastructure architecture consultation.
