Xincuan Server | Enterprise Server Hardware Supplier
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 – supporting up to 10 dual-width GPUs including NVIDIA H100, A100, and next-generation accelerators. With 18 PCIe slots (10 dedicated GPU x16 Gen5 lanes), dual Xeon 4th/5th Gen processors, and 12 NVMe bays, the G5500 V7 is purpose-built for large language model training, deep learning inference at scale, and GPU-accelerated HPC.
Key Specifications
| Component | Specification |
|---|---|
| Form Factor | 4U rack server |
| Processor | 2x 4th/5th Gen Intel Xeon Scalable (max 385W TDP) |
| Memory | 32 DDR5 DIMMs, up to 8 TB |
| GPU Support | Up to 10x dual-width GPUs (NVIDIA H100/A100/L40S) |
| PCIe Slots | 18 total (10x GPU-dedicated PCIe 5.0 x16) |
| Storage | 24x 2.5/3.5-inch + up to 12 NVMe SSDs |
| Power Supply | 2+2 or 3+1 redundant, 4x 3000W Titanium/Platinum |
| Management | iBMC with Redfish API, SNMP, and predictive failure analysis |
Recommended Configurations
| Scenario | GPU | CPU | Memory | Storage | Networking |
|---|---|---|---|---|---|
| LLM Training (70B+) | 10x H100 80GB SXM | 2x Xeon Platinum 8480+ (56C) | 4TB DDR5 (16x 256GB) | 8x 7.68TB NVMe | 8x 400G InfiniBand NDR |
| Multi-Tenant Inference | 10x H100 80GB (MIG enabled) | 2x Xeon Gold 6448Y (32C) | 2TB DDR5 (16x 128GB) | 4x 3.84TB NVMe | 4x 200G Ethernet |
| HPC Simulation | 10x A100 80GB | 2x Xeon Platinum 8470 (52C) | 2TB DDR5 (32x 64GB) | 4x 7.68TB NVMe (RAID 10) | 4x 200G InfiniBand HDR |
| AI Development Sandbox | 8x L40S 48GB | 2x Xeon Gold 6430 (32C) | 1TB DDR5 (16x 64GB) | 4x 3.84TB NVMe | 2x 100G Ethernet |
Ideal Workloads
- 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
| Item | G5500 V6 | G5500 V7 | Impact |
|---|---|---|---|
| GPU slots | 8x PCIe Gen4 x16 | 10x PCIe Gen5 x16 | +25% GPU capacity, 2x bandwidth |
| CPU | Xeon Scalable 3rd Gen | Xeon Scalable 4th/5th Gen | DDR4 ? DDR5, higher core count options |
| Memory | 32x DDR4 (up to 8TB) | 32x DDR5 (up to 8TB) | Faster speeds at same capacity |
| NVMe | Up to 8 drives | Up to 12 drives | 50% more flash capacity |
| Power | 4x 3000W (3+1) | 4x 3000W (2+2 or 3+1) | Flexible redundancy; supports 10x H100 |
| Management | 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. GPUs, CPUs, memory, drives, and network adapters are installed per your configuration. Note: 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 GPUs – 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.
Why Source Through Xincuan?
We configure G5500 V7 servers with your choice of GPU accelerators, NVMe storage tiering, and high-speed networking. Factory-direct pricing, 3-year manufacturer warranty, global logistics with full insurance, and free AI infrastructure architecture consultation.
