Developers, start your engines

Developers of all skill levels can get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.

ImgHead_Silverstone_TEST_Car_3

In pole position to learn reinforcement learning

AWS DeepRacer gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique that takes a very different approach to training models than other machine learning methods. Its super power is that it learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.

Page-Illo_DeepRacer_Simulator
Simulator

Build models in Amazon SageMaker and train, test, and iterate quickly and easily on the track in the AWS DeepRacer 3D racing simulator.
Learn more »

Page-Illo_DeepRacer_Car
Car

Experience the thrill of the race in the real-world when you deploy your reinforcement learning model onto AWS DeepRacer.
Learn more »

Page-Illo_DeepRacer_League
League

Compete in the world’s first global, autonomous racing league, to race for prizes and glory and a chance to advance to the Championship Cup.
Learn more »

Get rolling with machine learning

A fun way to learn machine learning

Get started with machine learning quickly with hands-on tutorials that help you learn the basics of machine learning, start training reinforcement learning models and test them in an exciting, autonomous car racing experience.

Experiment and grow

Test these new found skills in either a single-car time-trial format or dual-car head-to-head racing in the AWS DeepRacer 3D racing simulator.  Experiment with multiple sensor inputs, the latest reinforcement learning algorithms, neural network configurations and simulation to-real domain transfer methods.

Community and competition

The AWS DeepRacer League provides an opportunity for you to compete for prizes and meet fellow machine learning enthusiasts, online and in person. Share ideas and insights on how to succeed and create your own private virtual race.

Silverstone-PDP-Image_RIGHT-FACING

The rubber meets the road

AWS DeepRacer is an autonomous 1/18th scale race car designed to test RL models by racing on a physical track. Using cameras to view the track and a reinforcement model to control throttle and steering, the car shows how a model trained in a simulated environment can be transferred to the real-world.

Introducing the AWS DeepRacer Evo

AWS DeepRacer Evo is the next generation in autonomous racing. It comes fully equipped with stereo cameras and LiDAR sensor to enable object avoidance and head-to-head racing, giving developers everything they need to take their racing to the next level. In object avoidance races, developers use the sensors to detect and avoid obstacles placed on the track. In head-to-head, developers race against another DeepRacer on the same track and try to avoid it while still turning in the best lap time. Forward facing left and right cameras make up the stereo cameras, which helps the car learn depth information in images. This information can then be used to sense and avoid objects being approached on the track. The LiDAR sensor is backward facing and detects objects behind and beside the car.

DeepRacer Evo 7_13
evo sensor kit copy

Already own an AWS DeepRacer?

Developers who already own a DeepRacer can upgrade their cars to have the same capabilities as Evo with the AWS DeepRacer Sensor Kit.

Getting started with AWS DeepRacer

Build an RL model

Create, train and tune your reinforcement learning model in the AWS DeepRacer 3D racing simulator. Start your journey for free »

Page-Illo_DeepRacer_Time-Trails
Master the basics with time-trial racing

Develop your first RL model quickly and easily in the AWS DeepRacer console, using getting started tutorials. Experiment and grow your skills by tuning and retraining your model, to successfully navigate around the track and achieve the fastest lap time!

Page-Illo_DeepRacer_Head-to-Head-Racing
Expand your skills with head-to-head racing

Experiment with additional sensors and new training algorithms, to create an RL model capable of skillfully avoiding obstacles on the road, or detecting and predicting driving behavior of other cars in dual-car head-to-head races.

DeepRacer_Chrome_Small_rgb

Compete in the AWS DeepRacer League

Once you have built your model, it’s time to race! The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers can compete from anywhere in the world for prizes, glory, and a chance to advance to the AWS DeepRacer Championship Cup Finals at re:Invent 2020!

DeepRacer_Page-Image_Summit-Circuit
AWS Summit Circuit
Race in person

Rolling into AWS Summits around the globe in 2020, join a race on the AWS DeepRacer League Summit Circuit, to compete in time-trial or head-to-head racing.

Find a Race »

DeepRacer_Page-Image_Virtual-Circuit
AWS Virtual Circuit
Race online

Join the AWS DeepRacer League, from anywhere in the world. Compete in time trial races and take on new challenges such as head-to-head racing from via the AWS DeepRacer console.

Start Racing for Free »

DeepRacer_Page-Image_Virtual-Community-Races
Virtual Community Races
Race in a league of your own

With the new community races you can now compete with other ML enthusiasts around the globe by creating your own race online in the AWS DeepRacer console.

Create your own race now »

Under the hood

The AWS DeepRacer Evo car includes the original AWS DeepRacer car, an additional 4 megapixel camera module that forms stereo vision with the original one, a scanning LiDAR, a shell that can fit both the stereo camera and LiDAR, and a few accessories and easy-to-use tools for a quick installation.

CAR 18th scale 4WD with monster truck chassis
CPU Intel Atom™ Processor
MEMORY 4GB RAM
STORAGE
32GB (expandable)
WI-FI 802.11ac
CAMERA Stereo 4 MP cameras with MJPEG
LIDAR Sensor 360 Degree 12 Meters Scanning Radius LIDAR Sensor
SOFTWARE Ubuntu OS 16.04.3 LTS, Intel® OpenVINO™ toolkit, ROS Kinetic
DRIVE BATTERY 7.4V/1100mAh lithium polymer
COMPUTE BATTERY 13600mAh USB-C PD
PORTS 4x USB-A, 1x USB-C, 1x Micro-USB, 1x HDMI
SENSORS Integrated accelerometer and gyroscope
evo-spin
logo_intel-inside_128x60
logo_openvino_128x60

Order your AWS DeepRacer Evo today.