1. Introduction
This manual provides essential instructions for the proper installation, operation, and maintenance of your Fujitsu nVidia Tesla K80 GPU Accelerator. The nVidia Tesla K80 is a high-performance GPU designed for server and data center environments, offering significant computational power for demanding applications such as simulations and deep learning. Please read this manual thoroughly before use to ensure optimal performance and safety.
2. Important Safety Information
WARNING: This GPU is passively cooled and does not include integrated fans. Adequate external cooling solutions are required for proper operation to prevent overheating and potential damage. Ensure your server or system environment provides sufficient airflow and cooling capacity.
- Always disconnect power before installing or removing the GPU accelerator.
- Handle the GPU by its edges to avoid touching sensitive components.
- Ensure proper grounding to prevent electrostatic discharge (ESD) damage.
- Do not operate the GPU without an appropriate cooling system.
- Refer to your server or system manual for compatibility and power supply requirements.
3. Package Contents
Verify that all items are present in your package:
- nVidia Tesla K80 GPU Accelerator
- Documentation (this manual)
- Any additional accessories provided by the vendor (e.g., power cables, mounting brackets, if applicable and not integrated into the GPU itself).

Figure 1: Front view of the nVidia Tesla K80 GPU Accelerator.

Figure 2: Angled view of the nVidia Tesla K80 GPU Accelerator, showing the passive cooling fins.
4. Installation and Setup
The nVidia Tesla K80 is designed for installation in compatible server systems. Ensure your server chassis has available PCIe x16 slots and adequate power supply connections.
4.1. Preparing Your System
- Power Down: Completely shut down your server and disconnect all power cables.
- Open Chassis: Open the server chassis to access the internal components.
- Locate PCIe Slot: Identify an available PCIe x16 slot. For optimal performance, use a slot that supports the highest available PCIe generation (e.g., PCIe 3.0 x16).
- Ensure Cooling: Confirm that your server's cooling system (fans, airflow) is sufficient for a passively cooled GPU. The Tesla K80 requires robust system airflow.
4.2. Installing the Tesla K80
- Remove Slot Cover: Carefully remove the metal slot cover corresponding to the chosen PCIe slot on the server chassis.
- Insert GPU: Align the Tesla K80 with the PCIe slot. Apply even, firm pressure to seat the card fully into the slot until it clicks into place.
- Secure GPU: Secure the GPU to the chassis using the retention mechanism or screws provided by your server manufacturer.
- Connect Power: Connect the required 8-pin PCIe power connectors from your server's power supply to the Tesla K80. Ensure all power cables are securely attached.
4.3. Initial Power-Up and Driver Installation
- Close Chassis: Close the server chassis and reconnect all power cables.
- Power On: Power on your server.
- BIOS/UEFI Configuration: Access your server's BIOS/UEFI settings to ensure the PCIe slot is enabled and configured correctly. Some systems may require enabling "Above 4G Decoding" for the K80 to be recognized.
- Install Drivers: Once the operating system loads, download and install the latest nVidia drivers for the Tesla K80 from the official nVidia website.
- Verify Installation: After driver installation, verify that the Tesla K80 is recognized and functioning correctly in your operating system's device manager or nVidia control panel.
5. Operation
The nVidia Tesla K80 is primarily used for computational tasks rather than display output. Its operation is managed through software and drivers within your operating system.
- Software Utilization: Utilize CUDA-enabled applications, deep learning frameworks, or scientific computing software to leverage the K80's processing power.
- Monitoring: Use nVidia's monitoring tools or third-party utilities to keep track of GPU temperature, utilization, and power consumption to ensure stable operation within safe limits.
- System Cooling: Continuously monitor your server's overall cooling performance, especially under heavy computational loads, to maintain optimal operating temperatures for the passively cooled K80.
6. Maintenance
Regular maintenance helps ensure the longevity and performance of your Tesla K80 GPU Accelerator.
- Dust Removal: Periodically inspect the GPU's heatsink fins and the server's internal components for dust accumulation. Use compressed air to gently clean dust from the heatsink and surrounding areas. Ensure the server is powered off and unplugged before cleaning.
- Driver Updates: Keep your nVidia drivers updated to the latest stable version to benefit from performance improvements and bug fixes.
- System Airflow: Ensure that the server chassis maintains optimal airflow. Blocked vents or malfunctioning server fans can lead to overheating of the passively cooled K80.
7. Troubleshooting
If you encounter issues with your nVidia Tesla K80, refer to the following common troubleshooting steps:
- GPU Not Detected:
- Ensure the GPU is fully seated in the PCIe slot.
- Verify all power connectors are securely attached.
- Check BIOS/UEFI settings for PCIe slot enablement and "Above 4G Decoding" option.
- Confirm that the latest nVidia drivers are installed.
- Overheating Issues:
- Verify that your server's cooling system is functioning correctly and providing sufficient airflow.
- Clean any dust accumulation from the GPU heatsink and server fans.
- Ensure the server is operating within its recommended ambient temperature range.
- Performance Problems:
- Ensure you are using the latest nVidia drivers.
- Check for any background processes consuming system resources.
- Verify that your application is configured to utilize the Tesla K80.
For further assistance, consult your server's documentation or contact Fujitsu/nVidia support.
8. Specifications
| Feature | Detail |
|---|---|
| Brand | Fujitsu (nVidia) |
| Model Number | S26361-F2222-L81 (Tesla K80) |
| Graphics Processor Manufacturer | NVIDIA |
| Graphics Coprocessor | Nvidia Tesla |
| Graphics RAM Size | 24 GB |
| Cooling Type | Passive (no integrated fans) |
| Product Dimensions | 17.6 x 7.8 x 4.2 inches |
| Item Weight | 2.59 pounds |
| ASIN | B013HRQ1GO |
9. Warranty and Support
For warranty information and technical support, please refer to the documentation provided with your purchase or visit the official Fujitsu or nVidia support websites. Keep your proof of purchase for warranty claims.





