Huawei FusionServer G5500 V7 GPU Server

The Huawei FusionServer G5500 V7 is a high-density, multi-GPU server engineered for the most demanding artificial intelligence and high-performance computing workloads. Built on an open OCP-compliant architecture, it supports up to four high-performance GPUs in a compact 4U chassis, delivering exceptional computational throughput for large-scale model training and real-time inference. The server accommodates dual Intel Xeon Scalable (4th Gen) processors paired with high-bandwidth DDR5 memory, providing the CPU-side headroom required to keep GPU pipelines fully saturated.

The G5500 V7 is designed around high-speed GPU interconnect and NVLink/NVSwitch compatibility, enabling efficient peer-to-peer GPU communication that reduces data transfer latency across the accelerator fabric. Its storage subsystem supports multiple NVMe SSDs for fast dataset staging, while its high-capacity PCIe 5.0 lanes ensure that I/O bandwidth keeps pace with accelerator demands. Integrated intelligent cooling and power management systems allow the platform to sustain peak GPU thermal design power continuously in dense data centre rack deployments.

Targeted at enterprise AI infrastructure teams, cloud service providers, and scientific research institutions, the G5500 V7 fits into Huawei's broader FusionServer portfolio and is managed through iBMC (intelligent Baseboard Management Controller) for out-of-band monitoring, firmware lifecycle management, and integration with Huawei's ManageOne and third-party OpenBMC-compatible orchestration platforms. Its OCP 3.0 form factor and tool-less component access support rapid maintenance cycles in large-scale hyperscale and enterprise GPU cluster environments.

Ideal for

• Large language model (LLM) pre-training and fine-tuning across distributed GPU clusters requiring sustained high-throughput tensor operations
• Computer vision model training for autonomous systems, medical imaging analysis, and industrial quality inspection pipelines
• Real-time AI inference serving at scale, supporting low-latency response requirements for recommendation engines and natural language processing APIs
• High-performance computing (HPC) simulations in computational fluid dynamics, molecular dynamics, and climate modelling where GPU acceleration is critical
• Generative AI workloads including diffusion model training and multi-modal foundation model development in enterprise research environments
• Data centre AI infrastructure consolidation, enabling organisations to maximise GPU utilisation density per rack unit within power-constrained facilities

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.