NVIDIA 900-2G610-0000-000

NVIDIA Tesla P40 Passive Cooling GPU Instruction Manual

Model: 900-2G610-0000-000

1. はじめに

The NVIDIA Tesla P40 is a high-performance GPU accelerator designed for deep learning deployment and artificial intelligence applications. Built on the NVIDIA Pascal architecture, it provides significant computational power for accelerating demanding workloads. This manual provides essential information for the proper installation, operation, and maintenance of your Tesla P40 GPU.

NVIDIA Tesla P40 GPU, front angled view showing the passive heatsink and PCIe bracket.

図1: 正面を斜めにした view of the NVIDIA Tesla P40 GPU, highlighting its passive cooling design and PCIe interface.

2. 主な特徴

  • シリーズ: Tesla P40, Model: 900-2G610-0000-000
  • GPUアーキテクチャ: NVIDIA パスカル
  • 単精度のパフォーマンス: 12 TeraFLOPS
  • Integer Operations (INT8): 47 TOPS (Tera-Operations per Second)
  • GPUメモリ: 24GB GDDR5
  • メモリ帯域幅: 346 GB/秒
  • システムインターフェース: PCI エクスプレス 3.0 x16
  • 最大出力: 250W
  • Enhanced Programmability: With Page Migration Engine
  • ECC Protection: はい
  • Server-Optimized: For Data Center Deployment
  • Hardware-Accelerated Video Engine: 1x Decode Engine, 2x Encode Engine

3.セットアップガイド

3.1 インストール前のチェック

  • システム互換性: Ensure your server or workstation has an available PCI Express 3.0 x16 slot.
  • 電源: A robust power supply unit (PSU) capable of providing sufficient power (up to 250W for the GPU) and equipped with the necessary 8-pin CPU power cable (EPS12V) is required. Standard PCIe power cables may not be compatible or sufficient.
  • 冷却: The Tesla P40 features passive cooling and requires adequate system airflow within the server chassis to dissipate heat effectively. Ensure your server has sufficient fan configuration for proper cooling.
  • BIOS設定: Verify that your motherboard BIOS supports and has "Above 4G decoding" enabled, typically found under boot options or PCIe settings.

3.2物理的な設置

  1. Power down your system and disconnect all power cables.
  2. Open your computer case and locate an available PCI Express 3.0 x16 slot.
  3. Carefully insert the NVIDIA Tesla P40 into the PCIe slot, ensuring it is fully seated. Secure the card with the retaining clip or screw.
  4. Connect the 8-pin CPU power cable (EPS12V) from your power supply to the power connector on the Tesla P40. Ensure a secure connection.
NVIDIA Tesla P40 GPU, top view showing the power connector and NVIDIA branding.

図2:上 view of the NVIDIA Tesla P40, illustrating the location of the 8-pin power connector.

3.3 ドライバのインストール

  1. After physical installation, close your computer case and reconnect power.
  2. システムを起動します。
  3. Download the appropriate NVIDIA drivers for the Tesla P40 from the official NVIDIA website. It is crucial to select drivers compatible with the Pascal architecture. For optimal compatibility, consider using NVIDIA driver version 580 or earlier, as newer versions (e.g., 590 and later) may have dropped support for Pascal devices.
  4. Follow the on-screen instructions to install the drivers. A system reboot may be required.
  5. For Linux systems, if you encounter issues after enabling >4G decoding, you may need to boot into a rescue disk, mount your main OS, chroot into it, and run `mkinitcpio -P` or similar commands to regenerate your kernel image and grub configuration.

4. 操作手順

4.1 ソフトウェア環境のセットアップ

  • CUDA Toolkit: Install the NVIDIA CUDA Toolkit, which provides the development environment for GPU-accelerated applications. Ensure the CUDA version is compatible with your installed NVIDIA drivers.
  • ディープラーニングフレームワーク: Configure your preferred deep learning frameworks (e.g., TensorFlow, PyTorch) to utilize the NVIDIA Tesla P40. Refer to the documentation of your chosen framework for specific setup instructions.

4.2 監視とパフォーマンス

  • Use NVIDIA's `nvidia-smi` utility (available after driver installation) to monitor GPU utilization, memory usage, temperature, and power consumption.
  • Ensure GPU temperatures remain within safe operating limits, typically below 90°C under load. Due to passive cooling, maintaining adequate system airflow is critical for thermal management.

5. メンテナンス

  • ほこりの除去: Periodically inspect your server chassis and the GPU for dust accumulation. Dust can impede airflow and reduce cooling efficiency. Use compressed air to gently clean the heatsink fins and surrounding areas.
  • 環境制御: Operate the system in a clean, temperature-controlled environment to prevent overheating and prolong component lifespan.
  • ドライバーの更新: While keeping drivers updated is generally recommended, exercise caution with Tesla P40. Refer to NVIDIA's official support channels for recommended driver versions to avoid compatibility issues with older Pascal architecture.

6。 トラブルシューティング

  • System Not Recognizing GPU:
    • GPU が PCIe スロットに完全に装着されていることを確認します。
    • Ensure the 8-pin CPU power cable is securely connected.
    • Check BIOS settings for "Above 4G decoding" and ensure it is enabled.
    • Reinstall or update NVIDIA drivers.
  • 過熱の問題:
    • Confirm adequate airflow within the server chassis. Ensure all system fans are functioning correctly and are configured to provide sufficient cooling for passive components.
    • Clean any dust accumulation from the GPU heatsink and server vents.
    • 可能であれば周囲の温度を下げてください。
  • 電源ケーブルの問題: Some users have reported issues with included power cables. Ensure you are using a high-quality 8-pin EPS12V CPU power cable that can safely deliver the required wattage. If issues persist, consider replacing the cable with a verified compatible one.
  • パフォーマンスの低下:
    • Check GPU utilization and temperature using `nvidia-smi`. Thermal throttling can reduce performance.
    • Ensure your software environment (CUDA, deep learning frameworks) is correctly configured and optimized for the Tesla P40.

If troubleshooting steps do not resolve the issue, please contact NVIDIA support for further assistance.

7. 仕様

Close-up of the NVIDIA Tesla P40 label showing model number 900-2G610-0000-000 and other regulatory information.

Figure 3: Product label displaying the model number and other identification details.

特徴詳細
モデル番号900-2G610-0000-000
GPU アーキテクチャNVIDIA パスカル
グラフィックスコプロセッサNVIDIA Tesla P40
単精度のパフォーマンス12 TeraFLOPS
Integer Operations (INT8)47 TOPS (Tera-Operations per Second)
GPUメモリ24GB GDDR5
メモリ帯域幅346 GB/秒
システムインターフェースPCI エクスプレス 3.0 x16
最大消費電力250W
ECC Protectionはい
Hardware-Accelerated Video Engine1x Decode Engine, 2x Encode Engine
パッケージ寸法17.05 x 8.66 x 3.19インチ
アイテム重量3.14ポンド
初回利用可能日7年2017月XNUMX日

8. 保証とサポート

For information regarding product warranty, technical support, and service, please refer to the official NVIDIA website or contact your point of purchase. NVIDIA provides comprehensive resources and support for its products.

関連文書 - 900-2G610-0000-000

前view NVIDIA AI Enterprise ユーザーガイド: インストール、構成、管理
NVIDIA AI Enterprise の包括的なユーザー ガイド。さまざまなハイパーバイザーとオペレーティング システムにわたる NVIDIA vGPU、AI フレームワーク、ソフトウェア コンポーネントのインストール、構成、管理について詳しく説明します。
前view NVIDIA TensorRT Support Matrix v4.0.1 - Platform and Layer Compatibility
Comprehensive support matrix for NVIDIA TensorRT version 4.0.1, detailing compatibility across platforms (Linux, Android, QNX) and software versions (CUDA, cuDNN), along with a detailed breakdown of supported features for each TensorRT layer.
前view NVIDIA Jetson Xavier NX Series Product Marking Specification
This document specifies the product markings for the NVIDIA Jetson Xavier NX series modules, including details on part numbers, serial numbers, barcodes, and country of origin.
前view WSL 上の CUDA ユーザーガイド - NVIDIA
GPU アクセラレーション コンピューティング、AI、機械学習開発向けに Windows Subsystem for Linux (WSL) で CUDA を設定および使用するための NVIDIA の包括的なガイド。
前view NVIDIA データセンター GPU マネージャー ユーザーガイド
このユーザーガイドは、NVIDIAのData Center GPU Manager(DCGM)に関する包括的な情報を提供します。DCGMは、クラスターおよびデータセンター環境におけるNVIDIA Tesla GPUの管理、監視、運用を簡素化するために設計されたツールです。インストール、設定、機能など、幅広い情報を網羅しています。viewPrometheus や Grafana などの監視ツールとの統合、および診断機能を備えています。
前view NVIDIA Collective Communication Library (NCCL) インストール ガイド
Comprehensive guide for installing and using the NVIDIA Collective Communication Library (NCCL), a high-performance multi-GPU communication primitive library for deep learning and parallel computing.