If, for some reason, your computer doesn't meet requirements, hardware (no GPU) or software (no CUDA or nvidia-docker), there is a quick way to try training & inference with Supervisely on Amazon EC2.
We have prepared an AMI (ready-to-use Amazon Machine Image) that already has every component prepared. If you have an account on EC2, deploying Supervisely agent is easy as one-two-three:
Step 1: Login into Amazon EC2 Console¶
Step 2: Select "Oregon" zone¶
Because AMI is specific for availability zone, select "Oregon" zone is top right menu.
Step 3: Find "Supervisely" AMI¶
Click "Launch Instance". You will see "Choose an Amazon Machine Image" screen. Select "Community AMIs" and type "Supervisely" in search field.
Find Supervisely-P2 ("ami-15d3886d") image and click "Select".
Step 4: Run GPU instance¶
On a next step select "GPU compute" in filter and select "p2.*" instance type. We suggest to use "p2.xlarge". Click "Review and Launch" to start your instance.
Step 5: Copy-paste command in instance terminal¶
Connect to your new instance using ssh. Follow those steps to generate agent deployment command and run it on your Amazon instance.
You can always stop your instance when you don't need your GPU resources to save money and start it again. Supervisely agent should run automatically on instance start.