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ARSMGX Modular SystemGPU Server

NVIDIA GH200 Grace Hopper MGX System

Model / Platform:ARS-111GL

ARS-111GL leverages the NVIDIA MGX modular architecture and integrates the NVIDIA GH200 Grace Hopper Superchip. With high-bandwidth coherent interconnects between CPU and GPU, it is optimized for scientific computing and AI training and inference workloads that demand high memory bandwidth and minimal data movement overhead.

NVIDIA GH200 Grace Hopper MGX System

Key Highlights

Integrating the NVIDIA GH200 Grace Hopper Superchip
NVIDIA MGX Modular Reference Architecture
High-bandwidth, low-latency data access
Compact design for scalable cluster deployment

Technical Specifications

Product Form1U Rack-Mounted (MGX Architecture)
Calculation ModuleNVIDIA GH200 Grace Hopper Superchip
InterconnectNVLink-C2C High-Bandwidth Consistent Interconnect
memoryHigh-bandwidth LPDDR5X and HBM
NetworkHigh-Speed Ethernet / InfiniBand
Typical ScenariosScientific Computing, AI Training & Inference

Specifications are based on public family-level information from Supermicro. Specific parameters may vary by configuration; final selection and pricing are subject to confirmation and inquiry results.

Typical Applications

High-Performance Computing & Simulation
Large Model Inference Service
Data-Intensive AI Workloads

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The product datasheet includes key features, specifications, typical application scenarios, and selection recommendations. Download it for your records or internal evaluation.

Typical Use Cases and Selection Recommendations

CombineARS-111GLplatform positioning, common deployment scenarios, and key selection criteria to streamline requirement alignment during evaluation and quoting.

Typical Use Cases

1High-Performance Computing and SimulationThe superchip's high-bandwidth coherent interconnect is ideal for compute-intensive simulation workloads with heavy data movement.
2Large Model Inference ServiceDesigned for inference clusters, its compact form factor enables dense node deployment within server racks.
3Data-intensive AI workloadsIdeal for memory bandwidth-sensitive applications like graph computing and recommendation systems.

Selection Recommendation

Deployment Environment

1U MGX form factor; plan inference clusters by rack unit.

Configuration Orientation

Prioritize consistency bandwidth between the processor and accelerator; evaluate memory requirements based on model scale.

Complementary & Extensions

Recommended for high-speed networks and rack-level cluster planning to centrally manage multi-node devices.

The above is a general selection reference. Specific configurations, compatibility, and pricing are subject to confirmation upon inquiry.

Compare specs for models in the same category

SelectGPU ServerCustomize comparisons for the models below. Parameters highlighted in blue differ from the current model. Export a comparison PDF for selection and record-keeping.

Ultra-Small Form Factor (USFF) Specification Comparison Sheet

Compare Models:ARS-111GL, SYS-821GE-TNHR, AS-4125GS-TNRT, GB300 NVL72· Category:GPU Server· Generated:2026/10/25

Huaying Technology
Specification Item
Current DeviceNVIDIA GH200 Grace Hopper MGX SystemARS-111GL
8-Card NVIDIA H200 / H100 Air-Cooled GPU ServerSYS-821GE-TNHR4U AMD EPYC GPU ServerAS-4125GS-TNRTNVIDIA GB300 NVL72 Liquid-Cooled Rack SystemGB300 NVL72
Product Form1U Rack-Mounted (MGX Architecture)8U Rack-Mount4U Rack—
Calculation ModuleNVIDIA GH200 Grace Hopper Superchip———
InterconnectNVLink-C2C High-Bandwidth Consistent Interconnect———
memoryHigh-bandwidth LPDDR5X and HBMDDR5, multi-channel high capacityDDR5, multi-channel—
NetworkHigh-Speed Ethernet / InfiniBandHigh-speed Ethernet / InfiniBand with DPU support—Pre-integrated high-speed interconnects within racks and external networks
Typical ScenariosScientific Computing, AI Training & Inference———
Accelerator Card—8 × NVIDIA H200 / H100 SXM8 × Dual-width GPU or 12 × Single-width GPU72 × NVIDIA Blackwell Ultra
Processor—Dual Intel Xeon Scalable ProcessorsDual AMD EPYC 9004 Series—
Cooling—Air-cooledAir-cooledDLC-2 Direct Liquid Cooling
Expansion slots——PCIe 5.0 x16—
Delivery Format———Rack-scale
Power———Rack-Level Power and Busbar Solutions
Deploy———Pre-integrated at factory; quick cabinet assembly on-site

Table compares only official family-level public specifications; missing items are marked with "—". Final configuration and pricing are subject to confirmation upon inquiry.

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