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NVIDIA H100 Professional Services

Short Description:

The NVIDIA H100 (Codename: GH100) is the first-generation flagship GPU based on the Hopper architecture, unveiled by NVIDIA at GTC 2022 and mass-produced in 2023.


  • FOB Price: US $0.5 - 9,999 / Piece
  • Min.Order Quantity: 100 Piece/Pieces
  • Supply Ability: 10000 Piece/Pieces per Month
  • Brand: NVIDIA
  • Manager: Jinny
  • E-mail: sales5@xrjdcs.com
  • Tel: + 86-15359273791
  • ( WhatsApp )Wechat: + 86-15359273791
  • Warranty: one year
  • In stock: In stock
  • Product Detail

    Product Tags

    NVIDIA H100

    1. Product Overview

    The NVIDIA H100 (Codename: GH100) is the first-generation flagship GPU based on the Hopper architecture, unveiled by NVIDIA at GTC 2022 and mass-produced in 2023. It serves as the core cornerstone for the booming development of large AI models.
    • Positioning: Primary GPU for training 7B–175B LLMs, inference for early trillion-parameter models, and the predecessor of H200/B200/B300 series GPUs
    • Architecture: Hopper (Single Die)
    • Process Technology: TSMC 4nm
    • VRAM: 80GB HBM3
    • Form Factor: Dual versions including SXM5 liquid-cooled and PCIe air-cooled
    • 2026 Market Status: Discontinued or reduced production; the market is dominated by second-hand and leased devices with extremely high cost-performance for inference workloads

    2. Core Specifications of Single H100 GPU

    2.1 Architecture & Process Technology

    • Architecture: Hopper (GH100, Single Die)
    • Process Technology: TSMC 4nm
    • Transistor Count: Approximately 80 billion

    2.2 Compute Cores

    • Streaming Multiprocessors (SMs): 132
    • CUDA Cores: 16,896
    • Tensor Cores: 528 (4th Generation)
    • Supported Precision Formats: FP8, FP16, BF16, TF32, FP64 (FP4 is not supported)

    2.3 Memory System

    • VRAM Capacity: 80GB HBM3
    • Memory Bus Width: 8192-bit
    • Memory Bandwidth: 3.35 TB/s
    • ECC Support: Full-capacity ECC enabled
    • MIG (Multi-Instance GPU): Supports up to 7 independent GPU instances (10GB per instance)

    2.4 Single-GPU Dense Computing Performance

    • FP8 (Training): 3.94 PFLOPS
    • FP16/BF16: 1.97 PFLOPS
    • FP64 (Scientific Computing): 61.8 TFLOPS
    • INT8: 3.94 TOPS

    2.5 Interconnection & Interfaces

    • NVLink 4: 450GB/s unidirectional bandwidth, 900GB/s bidirectional bandwidth
    • PCIe Gen5: 128GB/s bandwidth
    • Interface Types: SXM5 (liquid-cooled) / PCIe (air-cooled)

    2.6 Power Consumption & Cooling

    • TGP: 700W (SXM version) / 600W (PCIe version)
    • Cooling Solution: Liquid cooling for SXM version; air cooling / cold plate cooling for PCIe version

    3. DGX H100 (8-GPU Server) Specifications

    3.1 Hardware Configuration

    • GPU Module: 8 × H100 SXM5 GPUs, with a total HBM3 memory of 640GB
    • CPU: Dual Intel Xeon Platinum 8480C processors (56 cores × 2)
    • System Memory: 2TB DDR5 (maximum expandable to 4TB)
    • NVSwitch: 4 × 4th-generation NVSwitch, with aggregated bandwidth of 7.2TB/s
    • Network Module: 10 × ConnectX-7 400G InfiniBand / Ethernet ports
    • Storage Configuration: 8 × E1.S 3.84TB NVMe SSDs (total storage of 30.72TB)
    • Total System Power Consumption: Approximately 8kW
    • Chassis Specification: 10U rack-mounted chassis, liquid-cooled design

    3.2 Overall System Computing Performance

    • FP8 Training Performance: 31.5 PFLOPS
    • FP16 Computing Performance: 15.7 PFLOPS
    • FP64 Computing Performance: 494 TFLOPS

    ____________________________________________________________

    NVIDIA  B300
    NVIDIA  B200
    NVIDIA  H200
    NVIDIA  H100

     

    NVIDIA H100

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    If you would like to learn more about our products and services, please feel free to contact us at any time!

    • Sales Manager : Jinny
    • Email : sales5@xrjdcs.com
    • Whatsapp/Mobile:+86 15359273791

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