Dive into a comprehensive performance comparison between the RTX 3090 and RTX 3060 GPUs for Stable Diffusion, machine learning, AI, and video rendering tasks. Explore detailed benchmarks for OpenAI's Whisper speech-to-text transcription, DaVinci Resolve 4K video rendering, FFmpeg 8K video processing, and Stable Diffusion image generation. Learn how to install and configure the latest drivers, PyTorch, CUDA, and cuDNN versions for optimal performance. Discover tips for maximizing GPU utilization, including how to use multiple GPUs simultaneously and resolve common issues. Gain insights into the differences between Nvidia Game Ready and Studio drivers, and understand the impact of various optimizers on Stable Diffusion performance. Master the setup and configuration of popular AI and rendering tools to harness the full potential of these powerful GPUs.
RTX 3090 vs RTX 3060 Ultimate Showdown for Stable Diffusion, ML, AI & Video Rendering Performance
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Overview
Syllabus
Box opening of Gainward #RTX3090 Ti and Cougar #GEX1050
Installation of RTX 3090 GPU and Cougar GEX1050 PSU into the computer case
Final view of the installed case
CPU, Ram and other hardware overview of the used PC
Used gist file explanation in this video
How to install latest Nvidia GeForce driver
What is the difference between Nvidia Game Ready drivers and Studio drivers?
OpenAI Whisper speech to text transcription benchmarks
How to verify installed and used PyTorch, CUDA and cuDNN versions via my custom script
How to update Whisper to latest version
Testing command used for Whisper
Demo of Whisper transcription benchmarks
How to install Torch version 2 on main Python installation
How to install cuNDD latest DLL files
Benchmark results of all Whisper tests
When RTX 3090 and #RTX3060 transcribing speech at the same time
4K Video rendering tests in Davinci Resolve
How to change rendering GPU in Davinci Resolve
Rendering results of Davinci Resolve benchmarks
Bug in Davinci Resolve, RTX 3060 is not used
Where to download FFmpeg with hardware acceleration - CUDA and GPU support
How to set default FFmpeg via environment variables path
Testing setup of the FFmpeg 8k video rendering
Demo demonstration of FFmpeg benchmark
Final results of FFmpeg benchmarks on both RTX 3060 and RTX 3090
Starting to benchmark Stable Diffusion via Automatic1111 Web UI
How to see used Torch, CUDA and cuDNN DLL version of your Web UI
How to update Web UI xFormers version
it/s iteration per second testing
Demo of testing methodologies that will be used for Stable Diffusion benchmarks
Starting result analysis of Stable Diffusion benchmarks Torch 1.13
Used DreamBooth training settings for benchmarking
Stable Diffusion benchmarks with Torch 2.0
How to make sure that Web UI uses second device in all cases
opt-sdp-attention benchmark results with Stable Diffusion
The discovery I made about optimizers used in Stable Diffusion Web UI
Solution for Stable Diffusion NansException : A Tensor with all NaNs in Unet
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