Contact AWS Sales

Developing and deploying Autonomous Vehicles requires the ability to collect, store and manage massive amounts of data, high performance computing capacity and advanced deep learning frameworks, along with the capability to do real-time processing of local rules and events in the vehicle. 

AWS provides a full suite of services to support Autonomous Vehicle development and deployment.  AWS' nearly unlimited storage and compute capacity and support for deep learning frameworks such as Apache MXNet and TensorFlow accelerate your algorithm training and testing.  AWS Greengrass provides edge computing with ML inference capabilities for real-time processing of local rules and events in the vehicle while minimizing the cost of transmitting data to the cloud.

Drive.ai
Learn how Drive.ai uses AWS to manage their IT infrastructure, so they can focus on building the brains behind the self-driving car.
driveAI

DriveAI creates AI software for autonomous vehicles using a deep learning first methodology.  AWS provides them the ability to seamlessly scale as their business grows, and the capability to handle their high performance computing demands.  

nuTonomy

nuTonomy makes software to build self-driving cars and autonomous mobile robots.  AWS enables them quickly provision compute resources, deploy new features, and add IT resources on demand.  

TUSimple

TuSimple built their autonomous driving platform using sophisticated deep learning algorithms developed with Apache MXNet on AWS.  TuSimple has used AWS to simulate billions of miles of driving.

Mapillary

Mapillary is using AWS to create an image representation of the world. By connecting images across time and users, Mapillary provides an immersive street-level image view for people to virtually explore places on Earth.  

AWS’ highly scalable storage and compute services and advanced deep learning frameworks allow for the collection, ingestion, storage and anlalysis of autonomous vehicle data to support full-scale autonomous vehicle development.

autonomous-vehicle-development
AWS Deep Learning

AWS Deep Learning AMIs provide the tools to accelerate deep learning in the cloud and create managed, auto-scaling clusters of GPUs for large scale training, or run inference on trained models with general or compute-optimized CPU instances.

Learn more »

EC2 P3 Instances

Amazon EC2 P3 instances are are powerful and scalable to provide GPU-based parallel compute capabilities, ideal for computationally challenging applications like autonomous vehicle development.

Learn more »

Amazon Sagemaker

Amazon SageMaker is a fully managed end-to-end machine learning service that enables you to quickly build, train, and host machine learning models at scale, drastically accelerating model training and deployment.

Learn more »

Amazon Snowball Edge

AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities, accelerating data transfer into and out of the AWS Cloud and providing local data analysis and filting.

Learn more »

Thousands of retailers are already using AWS. Contact our experts and start your own AWS Cloud journey today.

Contact AWS Sales | Create an AWS Account