- Python Deep Learning Cookbook
- Indra den Bakker
- 128字
- 2021-07-02 15:43:10
How to do it...
- You need to request an increase in the GPU quota before you launch a compute instance with a GPU for the first time. Go to https://console.cloud.google.com/projectselector/iam-admin/quotas.
- First, select the project you want to use and apply the Metric and Region filters accordingly. The GPU instances should show up as follows:

Figure 1.1: Google Cloud Platform dashboard for increasing the GPU quotas
- Select the quota you want to change, click on EDIT QUOTAS, and follow the steps.
- You will get an e-mail confirmation when your quota has been increased.
- Afterwards, you can create a GPU-enabled machine.
- When launching a machine, make sure you tick the Allow HTTP traffic and Allow HTTPs traffic boxes if you want to use a Jupyter notebook.
推薦閱讀
- OpenDaylight Cookbook
- ASP.NET Core 5.0開發入門與實戰
- 自己動手實現Lua:虛擬機、編譯器和標準庫
- C語言程序設計(第2版)
- 零基礎學MQL:基于EA的自動化交易編程
- KnockoutJS Starter
- R Deep Learning Cookbook
- ExtJS高級程序設計
- Visual Foxpro 9.0數據庫程序設計教程
- JavaScript程序設計(第2版)
- 編寫高質量代碼:改善Objective-C程序的61個建議
- Solutions Architect's Handbook
- 測試架構師修煉之道:從測試工程師到測試架構師
- Getting Started with Web Components
- PHP動態網站開發實踐教程