『您的瀏覽器不支援JavaScript功能,若網頁功能無法正常使用時,請開啟瀏覽器JavaScript狀態』

跳到主要內容區塊

工業技術研究院

:::

DNN Training Appliance系統軟體技術

技術簡介

 DNN Training Appliance系統軟體技術。
DNN Training Appliance系統軟體技術。

DNN Training Appliance系統軟體提供使用者在X86 server上進行深度學習訓練計算,讓使用者達成dataset management、neural network management、DNN training monitoring 等工作。DNN Training Appliance系統軟體包含OS、GPU driver、CUDA、cuDNN、cuBLAS、DNN frameworks、DNN IDE;DNN frameworks包含主流的Caffe、Caffe2、TensorFlow等,計算資源支援NVIDIA GPU、AMD GPU、Intel Knight Mills等。讓使用者擁有彈性、多元的深度學習資源,可以透過PCIe連結的串接進行X86 server的持續擴充,提升各種深度學習訓練所需要的計算資源,加速進行訓練。此外,使用者可以透過DNN IDE方便編輯neural network、對neural netwok進行debug、監控DNN training過程、對訓練完成的neural network進行壓縮部署至不同計算資源的環境。

  • DNN Training System Software Stack for NVIDIA GPU, AMD GPU and Intel Knight Mills.

  • Rack Scale DNN Training Resources via PCIe Connections.

  • DNN IDE: Monitor, Analysis and Debug, Model Compression.
  • 特色與創新

    使用者可以透過DNN Training Appliance的系統軟體堆疊,縮短深度學習訓練時間、彈性並擴充使用多元深度學習資源、監控深度學習訓練過程並進行分析及修正。

    應用與效益

    可用深度學習訓練場域,讓使用者透過深度學習訓練系統堆疊加速深度學習訓練、彈性並擴充使用多元深度學習資源、監控深度學習訓練過程並進行分析及修正,藉此改善使用者所需要的深度學習neuarl netwok。



    延伸閱讀
    [{"text":"企業網","weight":13.0},{"text":"材化所","weight":11.5},{"text":"機械所","weight":10.0},{"text":"綠能所","weight":9.4},{"text":"生醫所","weight":8.0},{"text":"半導體","weight":6.2},{"text":"南分院","weight":5.0},{"text":"太陽能","weight":5.0},{"text":"課程","weight":5.0},{"text":"遠紅外線","weight":5.0},{"text":"雷射","weight":4.0},{"text":"LED","weight":4.0},{"text":"LED可見光","weight":3.0},{"text":"5G","weight":3.0},{"text":"工研人","weight":3.0},{"text":"電光所","weight":3.0},{"text":"綠能與環境研究所","weight":3.0},{"text":"機械","weight":3.0},{"text":"資通所","weight":2.0},{"text":"面板","weight":2.0},{"text":"文字轉語音","weight":2.0},{"text":"實習","weight":2.0},{"text":"無人機","weight":2.0},{"text":"生醫","weight":2.0},{"text":"3D","weight":2.0},{"text":"v2x","weight":2.0},{"text":"員工","weight":2.0},{"text":"地圖","weight":2.0},{"text":"太陽光電","weight":2.0},{"text":"材料與化工研究所","weight":1.0}]