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NVIDIA H200 8-GPU AI Server with Dual Xeon 8480+

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Enterprise-grade Inspur AI server featuring 8 NVIDIA H200 GPUs, dual Intel Xeon 8480+ processors and 2TB DDR5 ECC memory for large-scale AI training, LLM inference and HPC workloads.

OVERVIEW

  • The Inspur NVIDIA H200 8-GPU AI Server is a high-density enterprise computing platform designed for organizations deploying demanding artificial intelligence, large language model and high-performance computing workloads.
  • The configuration combines 8 NVIDIA H200 GPUs, dual Intel Xeon 8480+ processors and 32 × 64GB DDR5 ECC server memory, providing approximately 2TB of system RAM. The NVIDIA H200 delivers 141GB of HBM3e memory per GPU with 4.8TB/s memory bandwidth, making it well suited to memory-intensive AI and HPC workloads.
  • With eight H200 accelerators, the platform is designed for large-scale model training, production inference, generative AI, scientific computing, data analytics and other GPU-intensive enterprise applications.

USE CASES

  • Large Language Model Training: Designed for organizations training and fine-tuning large language models where high GPU memory capacity and high-bandwidth accelerator communication are important.
  • LLM Inference: The H200's large HBM3e capacity is particularly suitable for demanding inference workloads involving large models and high-throughput serving. NVIDIA specifically positions H200 for generative AI and LLM workloads.
  • Generative AI Infrastructure: Suitable for enterprise generative AI platforms, private AI environments, AI assistants, retrieval-augmented generation and model development.

KEY FEATURES

  • 8 × NVIDIA H200 GPUs for high-density AI acceleration
  • 141GB HBM3e memory per H200 GPU
  • 4.8TB/s GPU memory bandwidth per H200
  • 1.128TB aggregate H200 GPU memory across eight GPUs
  • 2 × Intel Xeon Platinum 8480+ processors
  • 32 × 64GB DDR5 ECC server RDIMM
  • 2TB total system memory
  • NVIDIA HGX H200 8-GPU architecture
  • Designed for AI training and large-scale inference
  • Suitable for HPC and scientific computing
  • High-bandwidth GPU interconnect architecture
  • Enterprise-oriented data-center deployment
  • NVMe storage configuration
  • High-speed networking options for AI infrastructure
  • Suitable for private AI and dedicated GPU clusters

TECHNICAL SPECIFICATIONS

  • Brand: NVIDIA 
  • Product Type: Enterprise AI / GPU Server
  • GPU: NVIDIA H200
  • GPU Quantity: 8 × NVIDIA H200
  • GPU Memory: 141GB HBM3e per GPU
  • Total GPU Memory: 1,128GB / approximately 1.1TB
  • GPU Memory Bandwidth: 4.8TB/s per GPU
  • GPU Architecture: NVIDIA Hopper
  • GPU Platform: NVIDIA HGX H200
  • CPU: 2 × Intel Xeon Platinum 8480+
  • System Memory: 32 × 64GB
  • Total RAM: 2TB DDR5 ECC
  • Primary Storage: NVMe SSD configuration
  • System Class: Multi-GPU AI server
  • Target Workloads: AI training, inference, LLM, generative AI, HPC

WHY CHOOSE THE MODEL?

  • High-Density GPU Computing: Eight NVIDIA H200 accelerators provide a substantial amount of GPU memory and compute capacity in a single server, making the platform appropriate for organizations with large AI workloads.
  • Built for Large AI Models: Each H200 provides 141GB of HBM3e memory, giving the system approximately 1.1TB of aggregate GPU memory across eight accelerators. This is valuable for workloads where model size and memory bandwidth are major constraints.

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