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AWS Crash Course for Python Data Science with NVIDIA GPUs: EC2, IAM, SPOT, Tunneling

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In this video I provide a tutorial for launching EC2 instances for use with data science from Windows 10. I show how to launch a spot instance to save money, preparing a Putty PPK, and using a Putty tunnel to access JupyterLab.
Putty
WinSCP
Commands from Video
nvidia-smi
top
docker run -it --rm --gpus all -p 8888:8888 tensorflow/tensorflow:latest-gpu-py3-jupyter
0:55 AIM
3:10 Launch EC2 and Key Pairs
4:49 Instance Details and Spot Instances
6:51 Login Key Pair
8:32 Login to EC2 Instance with Putty
9:03 Generate a Putty PPK File
10:21 SSH Tunnels and Putty
16:42 Jupyter
Follow Me/Subscribe:
Putty
WinSCP
Commands from Video
nvidia-smi
top
docker run -it --rm --gpus all -p 8888:8888 tensorflow/tensorflow:latest-gpu-py3-jupyter
0:55 AIM
3:10 Launch EC2 and Key Pairs
4:49 Instance Details and Spot Instances
6:51 Login Key Pair
8:32 Login to EC2 Instance with Putty
9:03 Generate a Putty PPK File
10:21 SSH Tunnels and Putty
16:42 Jupyter
Follow Me/Subscribe:
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