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NVIDIA GPU Baseboard 8 H200 HBM3e


The NVIDIA GPU Baseboard with 8x H200 HBM3e GPUs is a high-performance compute platform designed for AI supercomputing, deep learning, and HPC workloads. Featuring eight NVIDIA H200 GPUs with a combined memory of over 1.1TB HBM3e and ultra-high bandwidth, this baseboard delivers exceptional throughput, scalability, and energy efficiency. With NVLink interconnect, PCIe Gen5 support, and next-gen Hopper architecture, it’s ideal for large-scale AI model training, inference, and data-intensive scientific simulations.

Min. Quantity – 5 Nos

Note: Below are the approximate and promotional prices. For the latest pricing and further details, please WhatsApp or call us at +91-8903657999.

559,999 800,000

The NVIDIA GPU Baseboard with 8 H200 GPUs is a powerful, enterprise-grade compute platform engineered for large-scale AI, machine learning, and high-performance computing (HPC) workloads. Featuring eight NVIDIA H200 GPUs, each equipped with HBM3e high-bandwidth memory, this baseboard delivers unparalleled compute density, memory throughput, and interconnect performance for modern data centers.

Built on NVIDIA’s advanced Hopper architecture, the system supports end-to-end acceleration of transformer-based models, scientific simulations, and real-time inference pipelines—making it a cornerstone for AI supercomputing environments.

Key Features:

  1. 8x NVIDIA H200 GPUs
    • Powered by next-gen Hopper architecture, delivering exceptional AI and HPC performance with native FP8 and Tensor Core acceleration.
  1. Each GPU with 141GB HBM3e (Total ~1.13TB)
    • Massive unified memory enables training and deployment of large AI models with unprecedented efficiency and speed.
  1. Extreme Bandwidth
    • Each GPU provides over 4.8TB/s memory bandwidth, enabling rapid data access and reducing latency during model execution.
  1. Advanced Interconnect Fabric (NVLink)
    • High-speed NVLink enables low-latency GPU-to-GPU communication across the baseboard for seamless scalability and distributed workloads.

Applications:

  1. Artificial Intelligence & Deep Learning
    • Training large-scale foundation and transformer models (LLMs, Diffusion, Vision Transformers).
    • Accelerated inference for edge-to-cloud AI deployments.
    • Generative AI, computer vision, and natural language processing.
  1. High-Performance Computing (HPC)
    • Scientific simulations in fluid dynamics, quantum mechanics, climate modeling.
    • Genomic sequencing and biomedical research.
    • Structural and seismic analysis in engineering.
  1. Enterprise & Research AI Infrastructure
    • AI supercomputers and cloud hyperscalers.
    • University research clusters and innovation hubs.
    • Real-time analytics and digital twin platforms.

Why Choose NVIDIA T400 Enterprise 4GB?

  1. Maximum Compute Density
    • Consolidates massive AI power into a single, scalable baseboard platform.
  1. Next-Level Memory & Bandwidth
    • HBM3e memory with ultra-fast access supports data-intensive and memory-bound applications.
  1. Optimized for Multi-GPU Scaling
    • Built with NVLink and NVSwitch for seamless GPU collaboration across large clusters.
GPU Model 8x NVIDIA H200 (Hopper Architecture)
Memory (Per GPU) 141GB HBM3e
Total Memory ~1.13TB HBM3e
Memory Bandwidth Over 4.8TB/s (aggregate)
Tensor Core Support 4th Gen Tensor Cores with FP8, BF16, FP16, TF32
Interconnect NVLink 4.0, NVSwitch enabled
PCIe Interface PCIe Gen5
Power Requirement ~7,000W
Display Support Up to 4 simultaneous displays