Inspur NF5488M5 AI Server
NF5488M5
Enterprise stock · tested · export documentation available
Inspur NF5488M5 AI Server
The Inspur NF5488M5 is an industry-leading, ultra-high-density 4U GPU server engineered for demanding AI workloads, including large language model (LLM) training, deep learning neural networks, massive parallel inference, and high-performance computing (HPC).
Powered by dual Intel® Xeon® Scalable processors and 8× SXM-form-factor NVIDIA® Tensor Core GPUs connected via NVSwitch, the NF5488M5 maximizes compute throughput while optimizing datacenter space and thermal management.
Technical Specifications
| Category | Specification Details |
| Form Factor | 4U Rackmount Server |
| Processors |
Dual 2nd Gen Intel® Xeon® Scalable Processors (Cascade Lake / Cascade Lake-R) Supports up to 205W / 250W TDP per CPU |
| GPU Acceleration | 8× NVIDIA® A100 SXM4 (40GB / 80GB) or 8× NVIDIA® V100 SXM2 Tensor Core GPUs |
| GPU Interconnect | Full NVSwitch topology (NVLink 3.0 delivering 600 GB/s bi-directional bandwidth per GPU) |
| System Memory |
24× DDR4 DIMM slots (up to 2933 MHz) Supports up to 3 TB system memory (RDIMM / LRDIMM) |
| Storage |
Up to 16× 2.5″ hot-swappable drive bays (SAS/SATA/NVMe) Supports direct-attached high-speed NVMe SSDs for rapid data ingestion |
| I/O & Networking |
Up to 8× PCIe Gen3 / Gen4 x16 slots dedicated for High-Speed NICs 1:1 GPU-to-NIC topology supporting GPUDirect RDMA (GDR) |
| Power Supply | 4× 3000W / 2000W 80 PLUS Platinum / Titanium Redundant Power Supplies (3+1 or 2+2 redundancy) |
| Cooling System | Advanced air-cooling design with high-static pressure, hot-swappable counter-rotating fans |
| Management | Onboard BMC (AST2500) supporting IPMI 2.0, Redfish API, Web UI, and KVM-over-IP out-of-band management |
| Operating Systems | Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu Server, CentOS |
Architectural & Feature Highlights
1. Ultra-High GPU Compute Density
Packed into a compact 4U chassis, the NF5488M5 accommodates 8 SXM-based NVIDIA GPUs along with dual high-performance Intel CPUs, delivering multi-petaflops of AI performance in a single system.
2. High-Bandwidth Interconnect (NVSwitch)
By utilizing NVIDIA NVSwitch technology, all 8 GPUs communicate at full NVLink line rates (600 GB/s bi-directional bandwidth per GPU). This bypasses traditional PCIe bottlenecks, allowing seamless distributed training on large datasets and deep learning parameters.
3. Balanced I/O with GPUDirect RDMA
The system supports up to 8 high-speed network interfaces (such as InfiniBand HDR 200Gbps or Ethernet NICs) configured in a direct 1:1 map to each GPU. This architecture maximizes multi-node scaling performance using GPUDirect RDMA (GDR).
4. Optimized Thermal & Power Efficiency
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Custom-designed air ducts segregate CPU and GPU thermal zones, maintaining stable high-frequency clock rates under prolonged 100% compute loads.
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Hot-swappable, redundant power supplies ensure maximum uptime and energy efficiency in modern hyperscale datacenters.
Target Application Scenarios
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Large Language Models (LLM): Distributed training and fine-tuning of multi-billion parameter AI models.
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Computer Vision & Speech Recognition: High-throughput processing for deep neural network training.
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Autonomous Driving: Processing massive multi-sensor automotive datasets and perception model simulation.
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Scientific Computing (HPC): Molecular dynamics, climate modeling, astrophysical simulations, and computational chemistry.













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