699-2G520-0200-400

User Manual: NV Tesla H100 80GB Server GPU SXM5 Module

Model: 699-2G520-0200-400

1. Product Overview

The NVIDIA H100 SXM5 is a high-performance Graphics Processing Unit (GPU) engineered for demanding computational tasks. It is specifically designed to accelerate artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) workloads. Built upon NVIDIA's advanced Hopper architecture, this module delivers substantial performance enhancements over previous generations, making it suitable for data centers and research environments requiring extreme processing power.

Top view of the NVIDIA H100 SXM5 GPU module with NVIDIA logo and a protective film warning.

Figure 1.1: Top view of the NVIDIA H100 SXM5 GPU module. The top cover features the NVIDIA logo and a warning to remove the protective film after installation. The module's serial number and model information are visible through a clear section.

2. Key Features

  • GPU Architecture: NVIDIA Hopper, providing significant advancements in processing efficiency.
  • Memory: 80 GB HBM3, offering high bandwidth for large datasets.
  • Tensor Cores: 528, optimized for AI and machine learning operations.
  • TDP (Thermal Design Power): 700W, indicating high power delivery for maximum performance.
  • Transformer Engine: Dedicated engine for accelerating large language models, enabling up to 30x faster performance.
  • NVLink Connectivity: Supports up to 18 NVLink 4.0 channels, providing 900 GB/s bandwidth for high-speed GPU-to-GPU communication.

3. What's in the Box

Upon unboxing, please verify that all components are present and undamaged:

  • NVIDIA H100 80GB SXM5 GPU Module
  • Heatsink (integrated)
  • Protective Cover
NVIDIA H100 SXM5 GPU module encased in clear protective plastic packaging.

Figure 3.1: The NVIDIA H100 SXM5 GPU module as it appears in its clear protective packaging, ensuring safe transport and handling.

4. Setup and Installation

This section provides general guidelines for installing the NVIDIA H100 SXM5 module. Professional installation in a compatible server system is highly recommended due to the specialized nature of this hardware.

4.1. Pre-installation Checklist

  • Ensure your server system is compatible with SXM5 form factor GPUs and can provide the necessary 700W power.
  • Verify adequate cooling infrastructure within the server rack/chassis.
  • Gather necessary tools (e.g., screwdriver, anti-static wrist strap).
  • Review your server's specific documentation for GPU installation procedures.

4.2. Installation Steps (General)

  1. Power down the server and disconnect all power cables.
  2. Open the server chassis according to manufacturer instructions.
  3. Locate the designated SXM5 socket on the server motherboard.
  4. Carefully align the H100 SXM5 module with the socket. Ensure proper orientation.
  5. Gently press down until the module is fully seated. Secure any retention mechanisms.
  6. Connect any required power cables from the server's power supply to the GPU module.
  7. Close the server chassis and reconnect power cables.
  8. Power on the server and install the latest NVIDIA drivers for the H100 series.
Bottom view of the NVIDIA H100 SXM5 GPU module, showing various labels and connectors.

Figure 4.1: Bottom view of the NVIDIA H100 SXM5 GPU module. This view highlights the various connection points and regulatory labels, including a "Made in Taiwan" stamp and a yellow warning label to remove a cap before installing.

5. Operating the GPU Module

Once installed and drivers are configured, the NVIDIA H100 SXM5 module operates as an accelerator for compatible software applications. Its primary function is to offload computationally intensive tasks from the CPU, significantly speeding up processing times for:

  • AI Training and Inference: Accelerating large-scale AI models, including natural language processing (NLP) and computer vision.
  • HPC Workloads: Enhancing simulations, scientific computations, and complex data analyses in fields like physics, chemistry, and finance.
  • Data Analytics: Processing and analyzing vast datasets with increased speed and efficiency, crucial for big data applications.

Interaction with the GPU is typically through programming frameworks and libraries such as NVIDIA CUDA, cuDNN, TensorFlow, PyTorch, and other HPC software stacks. Refer to the documentation of your specific software for optimal utilization of the H100's capabilities.

6. Maintenance

Proper maintenance ensures the longevity and optimal performance of your NVIDIA H100 SXM5 module. Given its high power consumption and heat generation, maintaining good airflow and cleanliness is crucial.

  • Airflow: Ensure that the server chassis has unobstructed airflow. Do not block ventilation openings.
  • Dust Removal: Periodically inspect the heatsink and fans (if applicable to your server's cooling solution) for dust accumulation. Use compressed air to gently clear dust from fins and components. Ensure the server is powered off and unplugged before cleaning.
  • Temperature Monitoring: Utilize server monitoring tools to keep track of GPU temperatures. Excessive temperatures can indicate insufficient cooling or a problem with the module.
  • Firmware and Driver Updates: Regularly check NVIDIA's official website for the latest firmware and driver updates for the H100 series. Keeping software up-to-date can improve performance and stability.
Side view of the NVIDIA H100 SXM5 GPU module, highlighting the extensive heatsink fins.

Figure 6.1: Side view of the NVIDIA H100 SXM5 GPU module, showcasing the dense array of heatsink fins designed for efficient heat dissipation. Proper airflow through these fins is critical for performance.

7. Troubleshooting

This section addresses common issues you might encounter with the NVIDIA H100 SXM5 module.

7.1. No Display Output / System Not Booting

  • Check Seating: Ensure the GPU module is fully and correctly seated in its SXM5 socket.
  • Power Connections: Verify all power cables from the server's power supply are securely connected to the GPU.
  • Server PSU: Confirm your server's Power Supply Unit (PSU) has sufficient wattage to power the H100 (700W TDP) along with other system components.
  • BIOS/UEFI Settings: Check server BIOS/UEFI settings for any GPU-related configurations or power management options.

7.2. Performance Issues / Instability

  • Drivers: Ensure the latest NVIDIA drivers for the H100 series are installed. Outdated or corrupted drivers can cause issues.
  • Temperature: Monitor GPU temperatures. Overheating can lead to throttling and instability. Improve server cooling if temperatures are consistently high.
  • Software Compatibility: Verify that the software applications and frameworks you are using are compatible with the H100 architecture and drivers.
  • System Resources: Ensure the server has adequate CPU, RAM, and storage resources to support the GPU's operations.

7.3. Driver Installation Failures

  • Operating System: Confirm your operating system version is supported by the NVIDIA H100 drivers.
  • Clean Installation: Perform a clean installation of drivers, removing any previous NVIDIA driver components before installing new ones.
  • Secure Boot/UEFI: On Linux systems, ensure Secure Boot is properly configured or disabled if it interferes with kernel module loading.

8. Specifications

FeatureDetail
ModelH100 80GB SXM5 (699-2G520-0200-400)
ManufacturerNvidia
GPU ArchitectureNVIDIA Hopper
Graphics CoprocessorH100 80GB SXM5
Memory Size80 GB HBM3
Tensor Cores528
TDP (Thermal Design Power)700W
NVLink Bandwidth900 GB/s (18 channels)
Form FactorSXM5 Module
Country of OriginTaiwan
Date First AvailableJanuary 23, 2025

9. Warranty and Support

This NVIDIA H100 SXM5 module is typically covered by a manufacturer's warranty. For specific warranty terms, duration, and claim procedures, please refer to the documentation provided by the original seller or NVIDIA's official support channels. Keep your proof of purchase for warranty claims.

For technical support, driver downloads, and additional resources, please visit the official NVIDIA website. It is recommended to consult their support documentation and forums for the most up-to-date information and assistance.

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