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工具介绍:
RunPod是一个全球AI推理和训练的云平台,支持GPU。
收录时间:
2023年3月7日
月流量:
696.0K
社交媒体&邮箱:
15.4K 用户
Website
Paid
其他
RunPod 工具信息

什么是RunPod?

RunPod是一个全球分布式的云平台,用于运行AI推理和训练。它提供GPU实例,以轻松运行AI工作负载,支持TensorFlow和PyTorch等流行框架。

如何使用 RunPod?

要使用RunPod,只需注册一个帐户并登录。从那里,您可以使用公共或私有代码仓库部署基于容器的GPU实例。您可以从多种GPU类型和区域中选择,以满足您的特定需求。RunPod还提供用于各种应用程序的无服务器GPU计算,AI端点以及安全的云选项以增强隐私和安全性。

RunPod 的核心功能

以实惠的价格租用云GPU

与TensorFlow和PyTorch等AI框架兼容

支持API、CLI和SDK

在8个以上的区域进行全球分布

网络存储数据

提供安全和社区云选项

基于容器的GPU实例

无服务器GPU计算

全面管理的AI端点

得到AI专家的信任

RunPod 的使用案例

#1

AI训练

#2

AI推理

#3

机器学习

#4

深度学习

#5

数据分析

来自 RunPod 的常见问题

如何在RunPod上租用GPU?

RunPod支持哪些AI框架?

RunPod的核心功能有哪些?

RunPod的用途是什么?

RunPod是否提供无服务器GPU计算?

我的数据在RunPod上安全吗?

如果我停止Pod,可以恢复我的工作吗?

RunPod 评价 (0)

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RunPod数据分析

RunPod 网站流量分析

最新流量情况

月访问量
696.0K
平均访问时长
00:05:21
每次访问页数
5.43
跳出率
33.25%
Dec 2022 - Jan 2025 所有流量

地理位置

Top 5 国家/地区

United States
15.43%
India
8.42%
France
5.48%
Norway
4.32%
United Kingdom
4.09%
Dec 2022 - Jan 2025 仅桌面设备

流量来源

直接访问
49.78%
自然搜索
42.42%
外链引荐
4.82%
社交媒体
2.41%
展示广告
0.50%
邮件
0.07%
Dec 2022 - Jan 2025 仅限全球桌面设备

热门关键词

关键词
交通
每次点击费用
runpod
64.0K
$ 5.58
rundpod
--
deepseek
6.0M
$ 2.56
run pod
--
deepseek r1
391.2K
$ 2.11

RunPod Discord 用户数分析

最新用户数

15.4K
(468)

社交媒体聆听

All
YouTube
Tiktok
1:48:25

Ultimate RunPod Tutorial For Stable Diffusion - Automatic1111 - Data Transfers, Extensions, CivitAI

Sign up RunPod: https://bit.ly/RunPodIO. This is the Grand Master tutorial for running Stable Diffusion via Web UI on RunPod cloud services. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 🥰 https://www.patreon.com/SECourses SECourses Discord To Get Full Support ⤵️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388 #RunPod discord: https://discord.gg/pJ3P2DbUUq Colab Tutorial 1: https://youtu.be/mnCY8uM7E50 Colab Tutorial 2: https://youtu.be/kIyqAdd_i10 Automatic1111 Command Line: https://bit.ly/StartArguments Best DreamBooth Tutorial: https://youtu.be/Bdl-jWR3Ukc DreamBooth second tutorial: https://youtu.be/KwxNcGhHuLY RunPodCTL GitHub: https://github.com/runpod/runpodctl Pre-trained models repo link : https://huggingface.co/lllyasviel/ControlNet Web UI install tutorial on PC: https://youtu.be/AZg6vzWHOTA How To Use Different Models Automatic1111: https://youtu.be/aAyvsX-EpG4 Textual Inversion Training Tutorial: https://youtu.be/dNOpWt-epdQ ControlNet Tutorial Video: https://youtu.be/vhqqmkTBMlU ControlNet extension: http://bit.ly/3IxBYc6 ControlNet Model Files: https://bit.ly/CTRLNETModels ControlNet Native Script: https://youtu.be/YJebdQ30UZQ Upgrade xformers Commands: https://bit.ly/UPxformers Kohya GUI: http://bit.ly/3ICvsB7 Cloud sync: http://bit.ly/40Zf44C 0:00 Intro 1:32 How to register RunPod.io and charge your credits 2:34 How to deploy a pod - start a server for Stable Diffusion 1.5 Automatic1111 Web UI 3:30 How to select deployment template for Stable Diffusion Web UI in RunPod 4:00 Explanation of temporary disk and persistent volume 4:44 Explanation of credit spending per minute for storage usage in RunPod 8:10 My Pods section 8:30 Connect to the started Pod 8:41 Start SD 2.1 Version Web UI Pod 9:25 Why pick a lesser used Pod 10:53 Bidding system of RunPod.io 13:11 Where and how to see scheduled maintenance 13:31 Stop Pod vs Terminate (delete) Pod 14:24 Where to see logs to debug and understand errors 15:08 Connect your Pod via a Jupyter Lab interface 15:16 How to change Automatic1111 Web UI command line arguments and restart it 17:54 First prompt in RunPod Automatic1111 Web UI 18:45 Where to see logs, find error logs, debug them 19:35 How to install DreamBooth extension of Automatic1111 Web UI 20:58 Where the generated images are saved 21:10 How to download generated images 21:38 How to update installed extensions 21:55 How to notice port error and fix it 23:04 How to install runpodctl latest version to transfer files very quickly between Pods and PC 23:55 How to download a ckpt file very fast from Hugging Face repo 25:10 Start DreamBooth training with best model and settings 30:41 How to upload your training dataset images 34:15 How to upload thousands of images (big data) from your computer to RunPod via runpodctl 34:28 How to install RunPodCTL on your Windows computer 35:06 How to send files from your PC to RunPod via runpodctl 39:38 Where to find generated checkpoints and sample images during DreamBooth training 41:30 How to delete non-empty folder 41:51 Even though xformers not selected during training, still breaks training and how to fix it 42:29 How to download a folder from RunPod to your PC via runpodctl very quickly 43:09 How to add runpodctl to environment path to use from every folder 47:25 How to continue/resume DreamBooth training 48:20 Test all training checkpoints with x/y plot to find best one 52:09 How to set correct command line arguments for SD 2.1 52:55 Where to see currently spent credits per hour 54:05 How to do DreamBooth training on SD 2.1 - 768 pixel version with best possible settings 57:42 How to generate classification images manually very fast 1:00:26 Why SD 1.5 is superior to 2.1 1:04:34 How to download custom models very fast from CivitAI 1:08:45 How to do Textual Inversion training with some optimal settings 1:13:00 Where Textual Inversion training samples and checkpoints are saved 1:14:07 How to use Textual Inversion check points 1:15:55 Move generated SD 2.1 classification images into correct folder 1:19:26 How to install and run ControlNet extension on RunPod IO 1:21:11 How to download your trained model files (ckpt) into your PC very fast via runpodctl 1:25:00 How to upgrade xformers to 0.0.17 for DreamBooth SD 2.1 training 1:26:04 How to expand runtime disk space 1:27:21 Best settings for SD 2.1 with xformers 1:31:30 What is Stable Diffusion fine tuning and how to do fine tuning with DreamBooth 1:39:20 Best settings quick recap for SD 2.1 for 24 GB VRAM 1:40:34 How to install and run Kohya GUI on RunPod 1:44:16 How to enable public Gradio link for Kohya GUI 1:44:52 How to start RunPods without GPU 1:46:53 Cloud snyching your Pod data / content thumbnail freepik macrovector

SECourses
2023年2月19日
61.7K
236

总共有 237 条社交媒体数据需要解锁才能查看

RunPod 启动嵌入功能

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RunPod: RunPod是一个全球AI推理和训练的云平台,支持GPU。
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