Inspur NF5488M5 AI Server

NF5488M5

SKU: NF5488M5 Category: Brand: ,

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

  • Custom-designed air ducts segregate CPU and GPU thermal zones, maintaining stable high-frequency clock rates under prolonged 100% compute loads.

  • Hot-swappable, redundant power supplies ensure maximum uptime and energy efficiency in modern hyperscale datacenters.

Target Application Scenarios

  • Large Language Models (LLM): Distributed training and fine-tuning of multi-billion parameter AI models.

  • Computer Vision & Speech Recognition: High-throughput processing for deep neural network training.

  • Autonomous Driving: Processing massive multi-sensor automotive datasets and perception model simulation.

  • Scientific Computing (HPC): Molecular dynamics, climate modeling, astrophysical simulations, and computational chemistry.

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