With AWS Free Tier we’ve got you covered for up to 10 hours of training, so you can enter the AWS DeepRacer League at no cost to you. See more in the Free Tier section below.
You can pre-order your AWS DeepRacer car on Amazon.com for $399 (US only). Availability for selected other countries will be announced later. There is no charge for driving your AWS DeepRacer car.
With AWS DeepRacer console services, there are no upfront charges and you will only pay for the AWS services you use. You will be billed separately by each of the AWS services used to provide the AWS DeepRacer console services such as creating and training your models, storing your models and logs, and evaluating them. You will see the bill for each service on your monthly billing statement. Where you receive service credits as part of the AWS DeepRacer free tier, you will see a credit on your billing statement, notifying you this was from AWS DeepRacer. You will not be charged when you submit a model to take part in any AWS DeepRacer League virtual event.
You can access the simulator from the US East (N. Virginia) region in the AWS console.
You can get started with AWS DeepRacer console service for free. Upon first use of AWS DeepRacer simulation in the AWS console, new customers will get 10 hours of Amazon SageMaker training, and 60 Simulation Unit (or SU) hours for Amazon RoboMaker in the form of service credits. The service credits are applied at month end and are available for 30 days. A typical AWS DeepRacer simulation uses up to 6 SUs per hour, thus the free-tier will allow you to run up-to 10 hours for free when running a typical AWS DeepRacer simulation.
Related product pricing
AWS DeepRacer integrates with Amazon SageMaker for reinforcement learning model training, AWS RoboMaker to provide the racing simulator, Amazon Kinesis Video Streams for video streaming of virtual simulation footage, Amazon S3 for model storage, and Amazon CloudWatch for log capture. The first time that you use the AWS DeepRacer service, the required IAM roles needed to call the integrated services on your behalf, and the required Virtual Private Cloud (VPC) stack to run Amazon SageMaker and AWS RoboMaker, will be created in your account. There is no cost associated with creating and using a VPC, but standard EC2 data transfer rates apply to the networking traffic incurred by your simulation jobs. For more details about EC2 data transfer rates, click here. A Network Address Translation (NAT) Gateway is created as part of the VPC stack. The NAT Gateway is used to transfer data from your VPC to Amazon S3, Amazon CloudWatch, and Amazon Kinesis Video Streams using private subnets. You will be charged for each hour that the NAT Gateway is provisioned and available, and per gigabyte of data processed through the NAT. You will receive AWS Promotional Credits to offset the cost of the NAT Gateway availability. For more about NAT Gateway pricing, click here.
Pricing example #1 (when outside the Free Tier)
When getting started with AWS DeepRacer, developers need to train a reinforcement learning model. The AWS DeepRacer console service will guide you through creating your first model with a series of sensible defaults, followed by training in the virtual simulator. We recommend that you train your model for at least an hour using the default settings, but training time may change depending on your parameters. During training, AWS DeepRacer will use AWS services on your behalf, including Amazon SageMaker, AWS RoboMaker, and others. For example, AWS RoboMaker creates the simulation environment used during training.
After training completes, you will use the AWS DeepRacer console service to evaluate the performance of your trained model, by allowing it to drive autonomously around the virtual track. This allows you to benchmark the performance of your model. Here, AWS DeepRacer will again use services on your behalf, including AWS RoboMaker, Amazon S3, and Amazon Kinesis Video Streams. The price of these activities is below:
|Service||Training Instance||Consumed hours||Cost per hour||Total ($)|
|Amazon SageMaker - Training||ML.C4.2XL||1||$0.56||$0.56|
|Service||Estimated Simulation Units per Hour||Consumed hours||Cost per simulation unit per hour ($)||Total ($)|
|AWS RoboMaker - Training||6||1||$0.40||$2.40|
|AWS RoboMaker - Evaluation||6||0.17||$0.40||$0.40|
|Service||Estimated data (GB)||Cost per GB ($)||Total ($)|
|Amazon S3 - Training - Ingest||0.832||$0.00||$0.00|
|Amazon S3 - Evaluation - Retrieve||0.025||$0.00||$0.00|
Amazon Kinesis Video Streams
|Service||Estimated Data per hour (GB)||Hours||Total Data (GB)||Cost per GB ($)||Total ($)|
|KVS - Training - Store||0.3||1||0.3||$0.0085||$0.00|
|KVS - Training - HLS stream||0.3||1||0.3||$0.0119||$0.00|
|KVS - Evaluation - Store||0.3||0.17||0.05||$0.0085||$0.00|
|KVS - Evaluation - HLS stream||0.3||0.17||0.05||$0.0119||$0.00|
Amazon CloudWatch Metrics
|Service||Estimated metric requests per hour||Hours||Total metric requests||Cost per 1000 metric requests ($)||Total ($)|
|Amazon CloudWatch - Training - Requests||60||1||60||$0.01||$0.00|
In this example, the total cost is $3.36.
Pricing Example #2 (when outside the Free Tier)
While the model you created in Example #1 is a good start, you think you can improve its driving behavior and get a better lap time as a result. You go through 3 iterations of editing your model's parameters, training it, and then evaluating it in the virtual simulator. Your model is now driving much better and the lap time has improved significantly. Finally, you decide to test your optimizations in the real-world by deploying the final model to your AWS DeepRacer car.
|Service||Number of 1 hour jobs||Estimated cost per 1 hour training ($)||Total|
|Amazon Kinesis Video Streams||3||$0.01||$0.02|
|Service||Number of 10 minute jobs||Estimated cost per 10 min evaluation ($)||Total|
|Amazon Kinesis Video Streams||3||$0.001||$0.01|
|Service||Estimated data (GB)||Cost per GB ($)||Total ($)|
|Amazon S3 - Retrieve||0.15||$0.09||$0.01|
In this example, the total cost is $10.10.
Pricing Example #3 (when outside the Free Tier)
You decide to leave your models from examples #1 and #2 on Amazon S3 and data in Amazon Kinesis Video Streams. The following table shows the cost for a month of storage.
|Service||Estimated Data Stored (GB)||Cost per GB per month||Total|
|Amazon S3 - Model Data||2.4||$0.02||$0.08|
|Amazon Kinesis Video Streams||2.8||$0.02||$0.06|
The total storage cost for a month is $0.14.
Information on getting started with AWS DeepRacer.
AWS Information on AWS DeepRacer League rules and eligibility requirements.
Get hands-on with RL, experiment, and learn through autonomous driving.