Amazon Web Services (AWS) deepened its long relationship with Intel as Mobileye, an Israel-based subsidiary of Intel, selected AWS to be its preferred cloud provider for Mobileye’s autonomous vehicle business.
Mobileye is using AWS’s portfolio of cloud services, infrastructure and scalability to advance its self-driving technologies in the cloud, the companies said in a news release Nov. 26.
Mobileye is “running core workloads on AWS for greater speed, agility, and compute power,” according to the announcement. AWS “will enable Mobileye to innovate at a rapid pace using AWS’s broad and deep portfolio of services, including compute, storage, database, analytics, machine learning, and edge computing, to supply automakers with the most advanced self-driving applications,” the companies said.
As Mobileye grows workloads using AWS, the organization will build a data lake on Amazon Simple Storage Service (Amazon S3) “to ingest, process, and analyze hundreds of petabytes of vehicle data gathered from sensors, images, and video feeds,” the companies said. Insights gained from that data will provide Mobileye with the ability to “fine tune its technology in significantly shorter cycles and iterate on its autonomous vehicle capabilities,” they said.
Amazon and Intel already had a more than 10-year engineering relationship building custom hardware to ensure AWS services run on a platform optimized for customer workloads at the best value, according to the companies.
By using AWS, Mobileye is “accelerating the introduction of technologies that automate driving tasks to make autonomous vehicles a reality,” Mike Clayville, AWS VP-worldwide commercial sales, said in the announcement. He added: “AWS’s industry-leading services are enabling Mobileye to quickly innovate on top of our highly scalable, fault-tolerant infrastructure. Mobileye can now operate at peak performance, glean insights from their data, and speed up the development process required to put self-driving vehicles on the roadway much faster.”
Separately, AWS announced the availability of AWS RoboMaker, a new service that it said, “makes it easy for developers to develop, test, and deploy robotics applications, as well as build intelligent robotics functions using cloud services.”
AWS RoboMaker “extends the most widely used open source robotics software framework, Robot Operating System (ROS), with connectivity to AWS services including machine learning, monitoring and analytics services to enable a robot to stream data, navigate, communicate, comprehend, and learn,” it said, adding: “AWS RoboMaker provides an AWS Cloud9-based robotics integrated development environment for application development, robotics simulation to accelerate application testing, and fleet management for remote application deployment, update, and management.”
Amazon regularly evaluates how it can use new technology to provide customers with a better experience, Brad Porter, VP and distinguished engineer of robotics at Amazon said in the Nov. 26 announcement. He added: “Robotics has played a significant role in creating global solutions that help faster deliveries and lower costs for our customers…. We believe AWS RoboMaker will be impactful to advanced robotics operations across the world by greatly decreasing cost and time to production.”
AWS RoboMaker is available now in the U.S. East (N. Virginia), U.S. West (Oregon) and Ireland, and will expand to additional regions in the coming year, the company said.
AWS also announced Nov. 26 that residential mortgage software provider Ellie Mae is moving its infrastructure to AWS. Ellie Mae “will use the breadth and depth of AWS services, including compute, storage, database, serverless, and containers, to develop new ways of delivering the true digital mortgage and simplifying the loan process for its customers and partners,” the companies said. Ellie Mae built a company-wide data lake on AWS using Amazon S3 “to better understand, personalize, and further automate digital lending,” they said.