Unlock AI Superpowers with NVIDIA CUDA: Boost Performance in Python!
ฝัง
- เผยแพร่เมื่อ 1 ก.ค. 2024
- Boost your AI performance by using NVIDIA CUDA on Windows. Step by step tutorial on how to use CUDA with Python / pytorch and performance comparison with Coqui TTS.
#performance #nvidia #python #ai #machinelearning #tts
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Thanks dear @MightyReiti for your inspiration and support on my new recording setup ❤️.
00:00 Intro
01:55 What is CUDA?
02:45 Which graphic cards are supported by CUDA?
04:23 How much faster is CUDA over CPU in machine learning?
05:50 Install CUDA on Windows
09:12 Installing Pytorch in Python (without CUDA support)
14:40 Installing Pytorch in Python (WITH CUDA support)
18:00 Performance comparison with Coqui TTS CPU vs. CUDA / GPU
My computer:
* Windows 10, Intel Core i5 3550, 3.3GHz, 16GB Memory, NVIDIA GeForce 1050 Ti
* developer.nvidia.com/cuda-gpus
* developer.nvidia.com/cuda-leg...
* datamadness.github.io/TensorF...
* developer.nvidia.com/cuda-dow...
* developer.nvidia.com/cuda-too...
* pytorch.org/get-started/locally/
* pytorch.org/docs/stable/cuda....
* stackoverflow.com/questions/4...
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0:47 Yes please!
7:12 You said to let you know, so I'm letting you know. Your last pronunciation was correct.
The new setup is wonderful! ❤
Thanks a lot 🤩
love your videos!! Thank you!
Wow, thanks for your amazing feedback 😊.
Please also try the Chatts model
Thanks for your suggestion 😊. I try giving it a look and it is added on my todo list.
Coda is supported rtx 3050?
According to developer.nvidia.com/cuda-gpus, RTX 3050 and RTX 3050 Ti are supported, yes.