

SIMPLEPOD CHEAPER AND FASTER THAN RUNPOD

Now we fully support SimplePod as well please use this link to register : https://simplepod.ai/ref?user=secourses

SimplePod is faster and cheaper than RunPod and works exactly same

Please use this template on SimplePod : https://dash.simplepod.ai/account/explore/100/ref-secourses/

For permanent storage, generate it from Storage tab with any name and size you want and when selecting template with above link, click Edit and Use, select Persistence Volume and change mount point to /workspace

Up-to-date SimplePod tutorial starting from 21:51 : https://youtu.be/yOj9PYq3XYM?si=Z86wZZLBeYzWo1Qo&t=1311

RUNPOD

Please register for RunPod at: https://get.runpod.io/955rkuppqv4h

Example tutorial for learn how to install and use RunPod is below

(starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323

RunPod permanent network storage tutorial : https://youtu.be/8Qf4x3-DFf4

Select this template mandatory (based on official Runpod Pytorch template) : https://get.runpod.io/SECourses_CU13

Recommended GPU is RTX PRO 6000, but you can use any GPU. The more VRAM it is better

You can edit template and change Volume Disk size. it is by default 200 GB and should be sufficient without any changes

You can also use your permanent storage system - from filters select CUDA 12.8, 12.9, 13 and so on to get newer NVIDIA driver - only NVIDIA driver matter it must be 570+ for CUDA 13

Upload all files into workspace extract all from zip file or directly upload extracted files

Start a new terminal

To install run below command

cd /workspace
export HF_HOME="/workspace"
chmod +x Runpod_Install_Whisper.sh
./Runpod_Install_Whisper.sh


To use after installation:

Open a new terminal and run the following code each time you start:

This will prompt you to choose which model to load. Run in a new terminal:


cd /workspace
export HF_HOME="/workspace"
export PYTHONWARNINGS="ignore"
export HF_HUB_ENABLE_HF_TRANSFER=1
unset LD_LIBRARY_PATH
cd /workspace/Whisper-WebUI
git pull
source venv/bin/activate
python app.py --share


You will receive a Gradio live link, and you'll be able to connect via the proxy on port 7861.

Pay attention to the Gradio share link among the printed messages.

Remove the --share option if you don't want the Gradio live link

If you rent multiple GPU machine, you can start different instances on each GPU by changing export CUDA_VISIBLE_DEVICES=1 2 3 4 etc

If you restart the pod you have to run below command 1 time after each restart

apt update --yes
apt install ffmpeg --yes
