AWS and NVIDIA customers

  • Rad AI

    RadAI uses Amazon EC2 P4 instances to power its document processing ML application and increased revenue by 10 times.

    By migrating to Amazon EC2 P4d Instances, we improved our real-time inference speeds by 60%.

    Ali Demirci, Senior Software Engineer, Rad AI
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  • Onfido

    Onfido uses Amazon EC2 P3 instances to power its online digital identity verification service.

    If there’s one service that helped us to scale, it’s Amazon EC2. It enabled us to train more models much faster than we had before.

    Ruhul Amin, Cofounder and Chief Architect, Onfido
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  • Nearmap

    Nearmap uses Amazon EC2 G4 instances to process 2D and 3D images for its mapping service.

    Amazon EC2 G4 Instances are a lot more energy efficient, so compute costs really plummeted.

    John Corbett, Director of Vision Systems, Nearmap
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  • Mathworks

    Mathworks users leverage Amazon EC2 P3 instances to perform HPC simulations to predict cell arrangements.

    Amazon EC2 P3 Instances provided the compute that we didn’t have to go out and buy when we made the decision to scale up.

    Sam Raymond, Postdoctoral Researcher, Stanford University
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  • Hyperconnect

    Hyperconnect uses Amazon EC2 P3 instances for its machine learning models used for image classification and voice conversion.

    Training time went from 4 weeks to a few hours on the AWS environment.

    Beomjun Shin, ML platform leader, Hyperconnect
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  • Hive VFX

    Hive VFX uses Amazon EC2 G4 instances to power its virtual workstations.

    I can spin up an Amazon FSx for Lustre file system in 5 minutes, and it’s all managed by AWS.

    Bernie Kimbacher, Founder, Hive VFX
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  • NTT Docomo

    NTT Docomo uses Amazon EC2 G4 instances to inspect about 50,000 cell towers for signs of rust and corrosion.

    AWS Batch is the most important management service in our system. Costs are significantly reduced.

    Mr. Issei Nakamura, Big Data Service Innovation Department AI specialist, NTT DOCOMO, INC.
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  • Aon Pathwise (P3)

    PathWise uses Amazon EC2 to model customer data hundreds of times faster than legacy solutions.

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  • Snap (G4)

    Snap Inc. uses Amazon EC2 G4 instances to deliver Bitmoji TV to millions.

    With Amazon EC2 G4 Instances versus Amazon EC2 G3 Instances, we were getting a 50 percent boost for a 10 percent higher cost.

    Brad Kotsopolous, Software Engineer, Snap Inc.
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  • University of Oxford

    University of Oxford Introduces a Sector-Leading Image Recognition ML Prototype on Amazon EC2 P3 instances to Augment Digitization in Numismatics.

    I thought this project would be complex and time consuming, but using AWS made it easy.

    Anjanesh Babu, Systems Architect and Network Manager, Gardens and Museums IT, University of Oxford's Gardens, Libraries & Museums
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  • NerdWallet (P3)

    NerdWallet uses machine learning on AWS to power recommendations platform.

    The use of Amazon SageMaker and Amazon EC2 P3 instances with NVIDIA P3 Tensor Core GPUs has improved NerdWallet’s flexibility, performance and has reduced the time required for data scientists to train ML models. “It used to take us months to launch and iterate on models: now it only takes days.

    Ryan Kirkman, Senior Engineering Manager, NerdWallet
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  • VSI

    Our customers rely on us to deliver highly accurate 3D Reality Models computed from multi-angle aerial photography across massive coverage areas. We use around 870 thousand GPU cores per day. We used to run this pipeline on Amazon EC2 G2 instances but switched to Amazon EC2 G4 instances and reduced our costs by 67%.

    John Corbett, Director of Vision Systems