Mobileye Sustainability Case study

Mobileye Reduced 30,000kg of CO2 Annually Optimizing AWS with Intel Granulate

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Mobileye is the global leader in the development of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving. Mobileye technology keeps passengers safer on the road, reduces the risk of traffic accidents, saves lives, and has the potential to revolutionize the driving experience by enabling autonomous driving.

Because our new code gets seamlessly accelerated every day, we can develop more quickly, and use less resources when doing so. To create a country map using Granulate, it’s now taking us half the time, at half the cost, with half the compute resources.
Tal Babaioff, vice president of mapping and localization and co‒general manager of REM at Mobileye, an Intel company

The Challenge

Mobileye runs big data workloads on AWS, using PySpark to support its RoadBookTM of localized drivable paths and visual landmarks, which provides centimeter-accurate mapping for autonomous driving.

Their scaling mapping operations are growing their usage of EC2 instances exponentially, causing increases to their Carbon Footprint. Mobileye’s sustainability initiatives have been put in place to allow them to continue innovating in a highly scalable environment, while reducing the amount of Co2 emissions created as a result.


Yearly Average C02 Reduction – 30,000 Kilograms of CO2 equivalent*
Cost Reduction – 45%

Reduced Job Completion Time – 44.5%

Intel Granulate was deployed on a Mobileye Elastic Compute Cloud (EC2) workload as container side-cars and began learning the workload, dataflow, and resource usage patterns within minutes. In less than a week, the solution was ready to be activated and start optimizing the application’s performance.

Mobileye monitored the results throughout the Intel Granulate activation, and witnessed the immediate impact of their resource optimization on their CO2 emissions. By shortening their job completion time per mapping job, they required 45% fewer instance hours to run the same workload and were able to reduce the amount of compute resources in usage. Following the successful trial to improve sustainable innovation, Mobileye accessed Intel Granulate through the AWS Marketplace using a Private Offer.

*The CO2 reduction is calculated based on the IPCC Fourth Assessment Report (AR4)

*Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy

Annual Carbon Reduction
Reduced AWS Costs
Faster Job Completion Time

Mobileye runs core workloads on AWS for greater speed, agility, and compute power. Mobileye turned to Intel Granulate's real-time continuous optimization solution to achieve better performance for PySpark workloads and significantly reduce costs on their EC2 workloads. Mobileye documented a 44.5% reduction in average job completion time. The immediate impact of the shorter job completion times was 45% cost reduction, due to fewer instance hours required to run the same workload.