Nvidia Cuda, cuDNN, Conda, PyTorch and TensorFlow Installation with Ubuntu 22.04

This video is all you need to get your Ubuntu 22.04 Deep Learning machine ready with the following:
1. Ubuntu Kernel 5.18 Update
2. Latest Nvidia Display Driver 515.57
3. Cuda Toolkit 11.7
4. cuDNN 8.0 Installation
5. Conda Toolkit 11.7
6. Python 3.9
7. Torch with GPU Support
8. TensorFlow with GPU support

GitHub Resources:
https://github.com/prodramp/DeepWorks/tree/main/DeepLearningRig

▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬
- (00:00) Quick Intro
- (01:32) Ubuntu Kernel 5.18 Update
- (02:30) Nvidia Driver update 515.57
- (03:05) Driver install in Recovery Mode
- (04:40) Cuda Toolkit 11.7 Installation
- (05:24) Tools nvcc, gcc, g++, cmake check
- (06:06) cudNN 8.x instalation
- (09:32) Conda Cuda Toolkit 11.7 Installation
- (10:22) Python 3.9 and Torch test with GPU
- (10:45) TensorFlow Installation with GPU
- (11:15) Final installation validation

Connect
------------------
- Prodramp LLC (@prodramp)
- Website - https://prodramp.com
- LinkedIn - https://www.linkedin.com/company/prodramp
- GitHub- https://github.com/prodramp/
- AngelList - https://angel.co/company/prodramp
- Facebook - https://www.facebook.com/Prodramp

Content Creator: Avkash Chauhan (@avkashchauhan)
- https://www.linkedin.com/in/avkashchauhan
- https://twitter.com/avkashchauhan

Tags:
#nvidia #ai #deeplearning #cnn #ml #lime #aicloud #h2oai #driverlessai #machinelearning #cloud #mlops #model #collaboration #deeplearning #modelserving #modeldeployment #pytorch #datarobot #datahub #streamlit #modeltesting #codeartifact #dataartifact #modelartifact #onnx #aws #kaggle #mapbox #lightgbm #xgboost #dataengineering #pandas #keras #tensorflow #tensorboard #cnn #prodramp #avkashchauhan #LIME #mli #xai #cuda #cuda-nn

Видео Nvidia Cuda, cuDNN, Conda, PyTorch and TensorFlow Installation with Ubuntu 22.04 канала 650 AI Lab