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Title
Inspur NF5688M7 - Dual 8558P CPUs, 8-GPU HGX-H20 1,128 GB AI Server with High-Power PSU Bundle
Keywords
Inspur NF5688M7, 8 GPU HGX-H20 server, dual 8558P processors, 256GB DDR5-5600 RAM, rack AI training server, high power PSU bundle, 960G SATA RI boot, 3NBD warrantyDescription
The Inspur NF5688M7 is a top-tier AI training node optimized for large model training, inference, and advanced HPC tasks. This bundle includes **dual Intel 8558P CPUs**, a full complement of high-speed DDR5 memory (32 × 64 GB @ 5600MT/s), and 8 NVIDIA HGX-H20 GPUs with aggregated memory of ~1,128 GB, delivering massive GPU compute density with modern NVLink/HGX interconnects.
It is built for workloads that require large batch sizes, high throughput, and very high memory demands.
Storage is multi-tier: system boot and OS run off **2 × 960 GB SATA RI (RAID-1)**; there are additional SATA RI drives (3 × 3.84 TB) for logging or intermediate data storage; plus **8 × 2.5-inch drive bays** (likely for NVMe or additional SATA/SAS) for flexibility. This setup allows separation of cold vs. hot data, boot vs. working directories, etc.
Networking includes dual X710 10G MM NICs for server-to-server or switch connectivity, along with 2G or similar FIN (Front I/O?) modules, giving you both high-bandwidth and legacy compatibility. The power subsystem is beefy: 2 units of 3200W and 6 units of 2700W redundant, ensuring that under full GPU/CPU load the system remains stable, with all PSUs in N+N redundancy mode. Rails/导轨 are included for rack mounting and quick servicing.
Warranty is **3-NBD (3-Next Business Day)**, meaning that if a critical failure occurs, a replacement or support will arrive by the third business day—important for minimizing downtime in AI training clusters. This makes the package suitable for serious AI infrastructure buyers where uptime matters.
If you are considering to buy this rack AI training server, this configuration offers excellent value: extremely high GPU memory, high CPU cores via dual 8558P, fast memory and substantial redundant power — balanced for high performance-density, model scaling, and operational reliability.
Key Features
- 8 × NVIDIA HGX-H20 GPUs with large aggregated memory (≈1,128 GB) and NVLink for fast GPU-GPU communication. 8 GPU HGX-H20 server
- Dual Intel 8558P processors to provide high core count and high PCIe lane count for feeding multiple GPUs. dual 8558P processors
- 32 × 64 GB DDR5-5600 registered/accelerated memory (≈2 TB total) for high bandwidth and large GPU support. 256GB DDR5-5600 RAM
- Multi-tier storage: RAID-1 boot drives, larger SATA RI drives for data, 8 × 2.5-inch drive bays for hot storage or caching. 960G SATA RI boot
- Dual X710 10G MM NICs plus FIN modules for flexible networking. rack AI training server
- Massive redundant power: 2 × 3200W + 6 × 2700W PSUs to support full GPU/CPU power draw under load. high power PSU bundle
- Tool-less rails /导轨 included for rack mounting and ease of maintenance. rails included
- 3-NBD warranty offering fast service response to minimize downtime. 3NBD warranty
Configuration
| Component | Specification / Detail |
|---|---|
| Model / Chassis | Inspur NF5688M7 6U GPU AI Server |
| CPUs | 2 × Intel 8558P |
| Memory | 32 × 64 GB DDR5-5600 RDIMM (≈2 TB total) |
| GPU | 8 × NVIDIA HGX-H20, total GPU memory ≈1,128 GB |
| Boot Drives | 2 × 960 GB SATA RI drives in RAID-1 |
| Additional Data Drives | 3 × 3.84 TB SATA RI drives |
| Drive Bays | 8 × 2.5-inch hot-plug bays |
| Network | 2 × 10G MM RJ-45 (X710 modules) + FIN ×2 modules |
| Power Supplies | 2 × 3200W + 6 × 2700W redundant PSUs in N+N configuration |
| Rack Mount | Rails included (slide-rails / 导轨) |
| Warranty / Support | 3-NBD (Next Business Day) warranty |
Compatibility
The NF5688M7 platform supports Intel 4th/5th Gen Xeon scalable processors (e.g., 8558P) and is designed for 8-GPU HGX H20 configurations. Ensure the server firmware and motherboard are updated to support HGX module compatibility and full GPU interconnect (NVLink or NVSwitch if needed).
Memory speed (DDR5-5600) must be supported by both CPUs and motherboard; check that DIMMs are installed per channel guidelines to achieve advertised speed. Mixing lower-speed DIMMs may reduce performance.
Boot drives (SATA RI) in RAID-1 are common; ensure RAID controller or on-board SATA controller supports SAS/SATA RI reliability features. Also ensure driver/firmware compatibility for the storage devices.
Network modules: X710 10G MM RJ-45 modules are widely supported; verify server chassis has slots and connectivity; FIN modules also clear the physical and thermal requirement. Power supply configuration must match total draw (GPUs + CPUs + fans + storage) and rack power rails, voltage, and cooling must handle worst-case full-load heat dissipation.
Usage Scenarios
1) Large AI / Deep Learning Training Clusters: With 8 HGX-H20 GPUs and very high GPU memory, this configuration is excellent for training large models (LLMs, vision transformers, multimodal models) at scale. The memory and interconnect reduce overhead from data transfer and allow larger batch sizes.
2) Inference Service Deployment: For high-throughput inference of models that require large memory (e.g. retrieval augmented generation, embedding generation), the 1,128 GB GPU memory allows serving multiple large models or pipelines simultaneously.
3) Hybrid HPC Workloads: Scientific computing, computational fluid dynamics, simulations, or ML/AI mixed workloads benefit from dual CPU high core counts and fast memory; plus massive GPU capacity for acceleration.
4) AI Infrastructure for Cloud / AI-as-a-Service: This server is well suited for cloud providers, research labs, or enterprise AI platforms where multiple GPU users or tenants require predictable performance and guaranteed power/warranty support.
5) Render Farms / Media & Graphics Processing: Video rendering, animation, 3D graphics pipelines that need enormous GPU VRAM (textures, large scenes), benefit heavily from the HGX-H20’s memory and inter-GPU bandwidth.
Frequently Asked Questions
-
Q: What are the power requirements for this NF5688M7 configuration under full load with 8 HGX-H20 GPUs?
A: The system uses 2 × 3200W + 6 × 2700W PSUs for redundancy. Under full load, the GPU + CPU + memory + storage + fans could draw a very large amount; ensure rack power rails, PDUs, breakers support that total draw, and that cooling is sufficient to manage the thermal output. -
Q: Is HGX-H20 fully supported in Inspur NF5688M7 for NVLink or NV-Switch connections?
A: Yes, the NF5688M7 is advertised in many listings as supporting 8-GPU HGX configurations. To fully leverage NVLink interconnects you’ll need the proper GPU module (HGX H20) version and ensure firmware / metal / chassis supports the required connectivity and cooling paths. -
Q: Can this server configuration boot from the 960G SATA RI drives and still maintain fast storage performance from the 3.84T drives?
A: Yes — use the two 960G SATA RI in RAID-1 for the OS/boot partition to isolate OS overhead; the 3.84T SATA RI drives can be used for bulk storage / swap / logs / less latency-sensitive data. For highest performance, hot-routes or NVMe-based caching is recommended alongside. -
Q: What warranty / service expectations are realistic with this bundle?
A: This bundle includes “3-NBD warranty” which means service response by next business day third day. Check whether repair or replacement covers GPU modules, power supplies, and whether it includes onsite support. Also check whether the unit is new or refurbished, and the condition of high-value parts like GPUs and PSUs.
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