Beijing Hongkun Jiasheng Technology Co., Ltd.
                                                                                                           
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Asus H200 Storage Server Bundle11 Equipped With 8X NVIDIA GPUs And High-Speed NVMe SSD For Enterprise AI Computing Deployment

Price Negotiable
Price: Negotiable
MOQ: 1PC
Delivery Time: 5-7 work days
Brand: ASUS
Product Description
H200 AI Server Bundle11 ASUS H200 AI Server with 8x NVIDIA H200 GPUs, 32x64GB DDR5 RAM, and 4x3.84TB NVMe SSD for High-Performance AI Computing
2x Intel Xeon 8558 CPU | 32x64GB DDR5 RAM | 4x3.84TB NVMe SSD | 8x H200 GPU
1. Product Overview

The ASUS H200 AI Server Bundle11 is a high-performance 8U rack-mount H200 GPU server, specifically engineered for cutting-edge enterprise artificial intelligence training, generative AI inference, large-scale high-performance computing (HPC), and massive dataset processing workloads. Built with ASUS mature high-density server architecture, this unit delivers exceptional parallel computing power, ultra-high bandwidth throughput, and outstanding long-term operational stability, fully satisfying continuous heavy-load operation requirements for modern enterprise AI clusters and research computing centers.
This fully configured bundle is equipped with dual Intel Xeon 8558 scalable processors, 32 pieces of 64GB high-speed DDR5 ECC memory modules, 4x3.84TB enterprise-grade high-performance NVMe solid-state drives, and 8 flagship NVIDIA H200 GPU accelerators. Adopting high-speed PCIe transmission architecture and optimized intelligent thermal management design, the server effectively reduces computing latency and eliminates storage bottlenecks, supporting stable round-the-clock execution of large model training, multi-task concurrent AI inference, and complex industrial scientific simulation tasks.

2. Core Advantages & Application Scenarios
  • Features 8 latest flagship NVIDIA H200 GPUs, delivering industry-leading parallel acceleration for ultra-large language model training and complex generative AI inference workloads
  • Dual Intel Xeon 8558 enterprise-grade processors provide reliable core scheduling and data processing capabilities, perfectly matching high-end H200 GPU computing performance
  • 32*64GB large-capacity DDR5 high-speed ECC memory ensures smooth multi-task concurrency and real-time processing of ultra-large AI datasets
  • 4*3.84TB enterprise NVMe SSD delivers ultra-low latency and fast read-write speed, completely resolving storage bottlenecks in large-scale AI training processes
  • Adopts professional 8U high-density chassis with intelligent cooling and redundant power supply, supporting 24/7 stable heavy-duty AI operation
  • Widely applicable to AI research laboratories, enterprise intelligent computing centers, HPC scientific simulation, big data analysis and cloud AI cluster deployment scenarios
  • 3. Technical Specifications
    Specification Details
    Model Number H200 AI Server Bundle11 (ASUS H200 AI Server Series)
    Form Factor 8U Standard Rackmount AI Server
    Processor 2x Intel Xeon 8558 Scalable Processors
    System Memory 32x 64GB High-Speed DDR5 ECC RAM
    Storage Configuration 4x 3.84TB Enterprise High-Speed NVMe SSD
    GPU Configuration 8x NVIDIA H200 High-Performance GPU Accelerators
    Cooling System Intelligent High-Density Cooling System, Optimized for Long-Term H200 Full-Load Operation
    Power Supply High-Power Redundant Power Module, Supports 24/7 Non-Stop Heavy-Duty Operation
    Management System Built-In Remote Intelligent Server Management & Real-Time Monitoring System
    Core Application Large AI Model Training & Inference, Generative AI Computing, HPC Scientific Simulation, Big Data Analysis, Cloud AI Cluster Deployment

Contact us for:

✅ Latest stock status & lead time
✅ Custom configuration & volume discount quotes
✅ Memory, storage, module and port upgrade options
✅ Full system deployment & integration support
✅ Free configuration guide & detailed spec sheet

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Company Beijing Hongkun Jiasheng Technology Co., Ltd.
Location Jin Yan Long Building, Changping District, Beijing, 9th floor
Contact Person Jeffrey

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