WA-AMAZON-WEB-SERVICES
1.12.2021 15:02:06 CET | Business Wire | Press release
Today, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), announced that Aurora (NASDAQ: AUR), a leader in self-driving vehicle technology, has selected AWS as its preferred cloud provider for machine learning training and cloud-based simulation workloads. Aurora uses AWS’s proven infrastructure and unparalleled portfolio of capabilities to safely accelerate the development of the Aurora Driver, its scalable self-driving vehicle technology. The Aurora Driver consists of sensors that perceive the world, software that plans a safe path through it, and a computer that powers and integrates Aurora’s hardware and software with any vehicle platform. For its machine learning training and cloud-based simulation workloads, Aurora is all-in on AWS, and it uses the cloud to process trillions of data points each day. Now, the company is scaling its training workloads in the cloud to complete up to 12 million physics-based driving simulations per day by the end of the year, building on the petabytes of data it collects during real-world road tests.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20211201005041/en/
Autonomous driving is an immensely complex technological challenge that relies heavily on cloud computing to enable breakthroughs in perception, embedded computing, machine learning, motion planning, decision making, and advanced sensor technologies. With AWS’s capabilities in high-performance computing, machine learning, storage, and security, Aurora optimizes and scales its virtual testing efforts to expand the capabilities of the Aurora Driver safely and quickly.
“Aurora’s advanced machine learning and simulation at scale are foundational to developing our technology safely and quickly, and AWS delivers the high performance we need to maintain our progress,” said Chris Urmson, CEO of Aurora. “With its virtually unlimited scale, AWS supports millions of virtual tests to validate the capabilities of the Aurora Driver so that it can safely navigate the countless edge cases of real-world driving.”
Aurora’s AWS-powered Virtual Testing Suite is a unique accelerator for the development of the Aurora Driver. Aurora can use data from just one testing situation it observes in the real world to inspire hundreds of permutations in the Virtual Testing Suite. That virtual testing helps train the Aurora Driver to more quickly and safely navigate complex situations, such as road construction, jaywalkers, and unprotected left-hand turns. For example, before the Aurora Driver ever attempted an unprotected left-hand turn on a physical road, it completed nearly 2.3 million turns in simulation—estimated to be roughly equal to 20,000 hours of real-world driving practice. Aurora has been running simulations at scale on AWS since 2019, and plans to triple the volume of simulations it runs on AWS to more than 12 million per day by the end of 2021.
The offline components of the Aurora Driver software stack all run on AWS, including the Virtual Testing Suite, high-definition road maps (the Aurora “Atlas”), machine learning models, and software development tools. For example, Aurora uses Amazon SageMaker (an AWS service that helps developers and data scientists build, train, and deploy machine learning models quickly) to create, run, and continuously refine the machine learning models that enable its driving simulations. With that service, Aurora accesses Amazon Elastic Compute Cloud (Amazon EC2) instance types like P4d, which deliver the highest performance for machine learning training in the cloud.
Before developing simulations, Aurora uses AWS to securely store and process the petabytes of data it logs during real-world testing, and then train its machine learning models on that data. The pre-processing workloads run on Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon EMR, AWS’s service for processing vast amounts of data in the cloud using open-source tools. Aurora’s machine learning training workloads then rely on AWS-optimized deep learning frameworks, such as TensorFlow and PyTorch. Finally, Aurora orchestrates and auto-scales its simulation workflows over hundreds of thousands of concurrent vCPUs and thousands of concurrent GPUs with Amazon EKS and Amazon EC2, which provides accelerated computing instance types like G4dn.
“AWS’s highly scalable compute, machine learning, and analytics services are helping Aurora move self-driving vehicle technology forward, toward broad real-world use,” said Swami Sivasubramanian, Vice President of Machine Learning at Amazon Web Services, Inc. “Our reliable infrastructure and comprehensive set of cloud services, including industry-leading machine learning services like Amazon SageMaker, provide the ideal foundation for Aurora to gain insights from the trillions of data points it generates every day to continuously enhance its technology. We are proud to support the acceleration of autonomous vehicle innovation, and look forward to the improved safety and efficiency the transformation of trucking, delivery, and mobility will allow.”
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 81 Availability Zones within 25 geographic regions, with announced plans for 27 more Availability Zones and nine more AWS Regions in Australia, Canada, India, Indonesia, Israel, New Zealand, Spain, Switzerland, and the United Arab Emirates. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com .
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.
About Aurora
Founded in 2017 by experts in the self-driving industry, Aurora is on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. To move both people and goods, the company is building the Aurora Driver, a platform that brings together software, hardware and data services to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is backed by Sequoia Capital, Baillie Gifford, funds and accounts advised by T. Rowe Price Associates, among others, and is partnered with industry leaders including Toyota, Uber, Volvo, and PACCAR. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Dallas. The company has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Wixom, MI. To learn more, visit www.aurora.tech .
View source version on businesswire.com: https://www.businesswire.com/news/home/20211201005041/en/
Link:
About Business Wire
Subscribe to releases from Business Wire
Subscribe to all the latest releases from Business Wire by registering your e-mail address below. You can unsubscribe at any time.
Latest releases from Business Wire
HyperLight Introduces 400G-per-lane TFLN PICs on its Chiplet™ Platform for Next-Generation AI Interconnects17.3.2026 13:03:00 CET | Press release
HyperLight Corporation (“HyperLight”), creator of the TFLN Chiplet™ Platform, today announced the availability of 400G-per-lane thin-film lithium niobate (TFLN) photonic integrated circuits (PICs) designed for next-generation AI networking infrastructure. The new PIC family delivers low insertion loss, low drive voltage operation, and exceptional electro-optic bandwidth, enabling energy-efficient and high-performance 400G-per-lane optical links. The transition to 400G-per-lane is a critical step for future AI infrastructure, enabling higher interconnect bandwidth and improved system density. HyperLight’s 400G-per-lane TFLN PICs provide the large electro-optic bandwidth and low-voltage operation required to support these next-generation optical links, where bandwidth, signal integrity, and power efficiency are increasingly challenging for electronic ICs to sustain. HyperLight’s TFLN devices combine high modulation efficiency with extremely low optical loss, enabling transmitter architec
Klarna Smashes 1 Million Merchants Milestone17.3.2026 13:00:00 CET | Press release
Klarna, the global digital bank and flexible payments provider, has surpassed 1 million merchants globally. Klarna has grown the number of merchants offering its payment methods by 47% in the past year, adding 285,000 merchants in 2025, and more than 115,000 in the final quarter alone. The growth is being driven by Klarna's expanding agreements with the world's leading payment service providers, giving merchants around the world easier access to Klarna at checkout. Leisure, Sport & Hobby is now Klarna's fastest-growing merchant category, up 91% YoY in February 2026, reflecting growing consumer demand for flexible payments in wellness and fitness. David Sykes, Chief Commercial Officer at Klarna: "Home repairs, a new couch, salon appointments, gym memberships - these are facts of life for most people, but the way they pay for them hasn't kept up. Reaching 1 million merchants is a reflection of how deeply embedded Klarna is becoming in everyday money management, and the acceleration acros
Armis Warns Cyberwarfare Threats at Global Tipping Point as AI Accelerates Escalation17.3.2026 13:00:00 CET | Press release
65% of IT decision-makers believe the convergence of AI, quantum, and emerging technologies will drive unprecedented escalation in cyber conflict Half of respondents say cyberwarfare threat is imminent and have had to report an act of cyberwarfare to authorities Armis, the cyber exposure management & security company, is warning that cyberwarfare threats have reached a global pressure-cooker moment. As emerging technologies accelerate cyber operations and geopolitical tensions worsen, attackers are increasingly targeting the infrastructure, information, and systems that underpin global stability. “Geopolitical tensions, AI acceleration, and unresolved security gaps are colliding, bringing the state of cyberwarfare to a boiling point,” said Nadir Izrael, CTO and Co-Founder of Armis. “Cyberwarfare is now a constant condition; attackers are operating at machine speed, while too many organizations are still trying to defend themselves with assumptions and structures built for a very differ
1.5 Billion Women Miss Essential Preventive Tests, Despite Uptick in Global Screening Rates17.3.2026 13:00:00 CET | Press release
Fifth edition of Hologic Global Women’s Health Index reveals over half of women worldwide weren’t tested for key conditions in the past yearHologic and Gallup convene experts to discuss closing gaps in screening access Global women’s health leader Hologic, Inc. (Nasdaq: HOLX) today released data showing that while testing for some health conditions has risen among women globally, a vast screening gap remains. Over half of women and girls aged 15 and older — an estimated 1.5 billion women — were not tested for cancer, high blood pressure, diabetes or sexually transmitted infections (STIs) in the past year. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260317786907/en/ Hologic Global Women's Health Index Fifth Edition The data are part of the fifth edition of the Hologic Global Women’s Health Index developed in partnership with Gallup. Based on an annual survey of 145,000 people in 144 countries and territories, the Index tra
NetApp Unveils New High-Performance EF-Series Models17.3.2026 13:00:00 CET | Press release
New systems deliver proven and affordable high-performance for most demanding workloads including AI, HPC and databases NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced the release of the next generation of NetApp EF-Series storage systems, built to power the most performance‑intensive workloads at scale. The introduction of EF50 and EF80 helps enterprises and neoclouds meet the growing demands of AI, high-performance computing (HPC), and transactional databases, including in emerging use cases like sovereign AI clouds and AI-powered manufacturing. “Data is the key component to delivering business value for enterprises, underpinning performance-hungry workloads like AI or databases,” said Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp. “As businesses contend with ever-increasing data volumes and performance-intensive applications such as AI model training, AI inferencing and high-performance computing, they n
In our pressroom you can read all our latest releases, find our press contacts, images, documents and other relevant information about us.
Visit our pressroom