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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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12
docs/en/yolov5/environments/aws_quickstart_tutorial.md
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@ -14,19 +14,19 @@ Other quickstart options for YOLOv5 include our [Colab Notebook](https://colab.r
Start by creating an account or signing in to the AWS console at [https://aws.amazon.com/console/](https://aws.amazon.com/console/). Once logged in, select the **EC2** service to manage and set up your instances.
![Console](https://user-images.githubusercontent.com/26833433/106323804-debddd00-622c-11eb-997f-b8217dc0e975.png)
![Console](https://github.com/ultralytics/docs/releases/download/0/aws-console-sign-in.avif)
## Step 2: Launch Your Instance
In the EC2 dashboard, you'll find the **Launch Instance** button which is your gateway to creating a new virtual server.
![Launch](https://user-images.githubusercontent.com/26833433/106323950-204e8800-622d-11eb-915d-5c90406973ea.png)
![Launch](https://github.com/ultralytics/docs/releases/download/0/launch-instance-button.avif)
### Selecting the Right Amazon Machine Image (AMI)
Here's where you choose the operating system and software stack for your instance. Type 'Deep Learning' into the search field and select the latest Ubuntu-based Deep Learning AMI, unless your needs dictate otherwise. Amazon's Deep Learning AMIs come pre-installed with popular frameworks and GPU drivers to streamline your setup process.
![Choose AMI](https://user-images.githubusercontent.com/26833433/106326107-c9e34880-6230-11eb-97c9-3b5fc2f4e2ff.png)
![Choose AMI](https://github.com/ultralytics/docs/releases/download/0/choose-ami.avif)
### Picking an Instance Type
@ -36,7 +36,7 @@ For deep learning tasks, selecting a GPU instance type is generally recommended
For a list of available GPU instance types, visit [EC2 Instance Types](https://aws.amazon.com/ec2/instance-types/), specifically under Accelerated Computing.
![Choose Type](https://user-images.githubusercontent.com/26833433/106324624-52141e80-622e-11eb-9662-1a376d9c887d.png)
![Choose Type](https://github.com/ultralytics/docs/releases/download/0/choose-instance-type.avif)
For more information on GPU monitoring and optimization, see [GPU Monitoring and Optimization](https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-gpu.html). For pricing, see [On-Demand Pricing](https://aws.amazon.com/ec2/pricing/on-demand/) and [Spot Pricing](https://aws.amazon.com/ec2/spot/pricing/).
@ -44,7 +44,7 @@ For more information on GPU monitoring and optimization, see [GPU Monitoring and
Amazon EC2 Spot Instances offer a cost-effective way to run applications as they allow you to bid for unused capacity at a fraction of the standard cost. For a persistent experience that retains data even when the Spot Instance goes down, opt for a persistent request.
![Spot Request](https://user-images.githubusercontent.com/26833433/106324835-ac14e400-622e-11eb-8853-df5ec9b16dfc.png)
![Spot Request](https://github.com/ultralytics/docs/releases/download/0/spot-request.avif)
Remember to adjust the rest of your instance settings and security configurations as needed in Steps 4-7 before launching.
@ -52,7 +52,7 @@ Remember to adjust the rest of your instance settings and security configuration
Once your instance is running, select its checkbox and click Connect to access the SSH information. Use the displayed SSH command in your preferred terminal to establish a connection to your instance.
![Connect](https://user-images.githubusercontent.com/26833433/106325530-cf8c5e80-622f-11eb-9f64-5b313a9d57a1.png)
![Connect](https://github.com/ultralytics/docs/releases/download/0/connect-to-instance.avif)
## Step 4: Running YOLOv5