1. Introduction and Overview
The NVIDIA Tesla V100 Volta GPU Accelerator is a high-performance computing (HPC) and artificial intelligence (AI) accelerator designed for data centers. Built on the NVIDIA Volta architecture, it features Tensor Cores that deliver unprecedented performance for deep learning training and inference, as well as scientific simulations and data analytics. This manual provides essential information for the proper installation, operation, and maintenance of your Tesla V100 GPU accelerator.

Figure 1: NVIDIA Tesla V100 Volta GPU Accelerator
2. Safety Information
Please read all safety instructions carefully before installing or operating the NVIDIA Tesla V100. Failure to follow these instructions may result in injury, damage to the product, or damage to other components.
2.1 Electrostatic Discharge (ESD) Precautions
The Tesla V100 is a sensitive electronic component. ESD can damage the card. Always take the following precautions:
- Wear an anti-static wrist strap connected to a grounded surface.
- Handle the card by its edges, avoiding contact with the gold connectors or components.
- Store the card in its anti-static bag when not in use.
- Work on an anti-static mat.

Figure 2: Tesla V100 in anti-static packaging, showing ESD warning.
2.2 General Safety Guidelines
- Ensure the system is powered off and unplugged before installation.
- Do not expose the card to moisture or extreme temperatures.
- Ensure adequate ventilation within the server or workstation chassis.
3. Package Contents
Verify that all items are present in the package before proceeding with installation. The standard package for the NVIDIA Tesla V100 Volta GPU Accelerator typically includes:
- NVIDIA Tesla V100 Volta GPU Accelerator card
- Quick Start Guide or Documentation (digital or physical)
- Any included accessory cables or brackets (may vary by SKU)

Figure 3: Tesla V100 in its original packaging.
4. Setup and Installation
4.1 System Requirements
Before installation, ensure your system meets the following minimum requirements:
- PCIe Slot: Available PCIe x16 slot (preferably PCIe Gen3 or Gen4 for optimal performance).
- Power Supply: Adequate power supply unit (PSU) with sufficient PCIe power connectors. Refer to your system's documentation for specific power requirements for the Tesla V100.
- Operating System: Compatible 64-bit operating system (e.g., Linux, Windows Server).
- Drivers: Latest NVIDIA drivers for Tesla V100.
4.2 Physical Installation
- Power Off System: Shut down your computer or server completely and disconnect the power cable.
- Open Chassis: Open the computer or server chassis to access the motherboard.
- Locate PCIe Slot: Identify an available PCIe x16 slot.
- Remove Slot Cover: Remove the metal slot cover from the back of the chassis corresponding to the chosen PCIe slot.
- Insert Card: Carefully align the Tesla V100 with the PCIe slot and press down firmly until it is fully seated. Ensure the retention clip locks into place.
- Secure Card: Secure the card to the chassis with the screw or retention mechanism.
- Connect Power: Connect the required PCIe power cables from your PSU to the power connectors on the Tesla V100. The Tesla V100 typically requires an 8-pin PCIe power connector.

Figure 4: Side view of the Tesla V100, highlighting the power connector.
4.3 Driver Installation
After physical installation, install the appropriate NVIDIA drivers for your operating system. Visit the official NVIDIA website (www.nvidia.com/drivers) to download the latest drivers for the Tesla V100. Follow the on-screen instructions provided by the driver installer.
5. Operating Instructions
The NVIDIA Tesla V100 is designed to accelerate compute-intensive workloads. Once installed and drivers are configured, it operates as a co-processor for your system's CPU. Applications and frameworks that are optimized for GPU acceleration will automatically leverage the Tesla V100's capabilities.
5.1 Software Configuration
For optimal performance, ensure your software environment is correctly configured:
- CUDA Toolkit: Install the NVIDIA CUDA Toolkit, which provides the development environment for GPU-accelerated applications.
- Deep Learning Frameworks: Use GPU-enabled versions of deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
- Monitoring Tools: Utilize NVIDIA-SMI (System Management Interface) to monitor GPU utilization, temperature, and power consumption.
6. Maintenance
The NVIDIA Tesla V100 is designed for reliable operation with minimal maintenance. However, adhering to the following guidelines can help ensure its longevity and performance:
- Dust Removal: Periodically inspect the card and surrounding area for dust buildup. Use compressed air to gently clear dust from heatsinks and fans (if applicable) to maintain optimal cooling. Ensure the system is powered off and unplugged before cleaning.
- Environmental Control: Operate the system in a clean, temperature-controlled environment. Avoid excessive humidity and direct exposure to sunlight.
- Firmware Updates: Keep the GPU firmware updated. Check the NVIDIA support website for any available firmware updates.
7. Troubleshooting
This section addresses common issues you might encounter with your NVIDIA Tesla V100.
7.1 Card Not Detected
- Check Seating: Ensure the card is fully seated in the PCIe slot.
- Power Connections: Verify that all necessary PCIe power cables are securely connected to the card and the PSU.
- BIOS/UEFI Settings: Check your system's BIOS/UEFI settings to ensure the PCIe slot is enabled and configured correctly.
- Driver Installation: Confirm that the correct NVIDIA drivers are installed and up to date.
7.2 Performance Issues
- Driver Version: Ensure you are using the latest recommended drivers from NVIDIA.
- Cooling: Check for adequate airflow and ensure the card is not overheating. Monitor temperatures using NVIDIA-SMI.
- Power Supply: Verify your PSU provides sufficient wattage and stable power to the card.
- Software Optimization: Ensure your applications and frameworks are properly configured to utilize the GPU.
7.3 System Instability
- Driver Conflict: Uninstall any previous graphics drivers before installing new NVIDIA drivers.
- System Compatibility: Confirm your motherboard and CPU are fully compatible with the Tesla V100.
- Power Delivery: An unstable power supply can cause system crashes. Test with a known good PSU if possible.
8. Specifications
Key technical specifications for the NVIDIA Tesla V100 Volta GPU Accelerator 32GB Graphics Card:
| Feature | Specification |
|---|---|
| Brand | NVIDIA |
| Model Number | 699-2G500-0202-400 |
| Graphics Coprocessor | NVIDIA Tesla V100 |
| Graphics RAM Size | 32 GB |
| Video Output Interface | VGA (Note: This is a compute accelerator, not typically used for display output) |
| Product Dimensions | 12 x 6 x 3 inches |
| Item Weight | 0.01 ounces |
| Date First Available | October 11, 2018 |
9. Warranty Information
NVIDIA products are covered by a limited warranty. The specific terms and duration of the warranty may vary based on region and point of purchase. Please retain your proof of purchase. For detailed warranty information, including terms, conditions, and how to make a claim, please visit the official NVIDIA website's warranty section or contact your point of sale.
For the most current warranty policy, please refer to: NVIDIA Official Warranty Page
10. Technical Support
If you encounter issues that cannot be resolved using the troubleshooting steps in this manual, or require further assistance, please contact NVIDIA Technical Support.
10.1 Contacting Support
- Online Support: Visit the NVIDIA Support website for FAQs, knowledge base articles, and driver downloads.
- Community Forums: Engage with other users and NVIDIA experts on the official NVIDIA forums.
- Direct Contact: Use the contact methods provided on the NVIDIA support page for direct assistance.
For support resources, visit: NVIDIA Support





