AWS and NVIDIA customers

  • AI21 Labs

    AI21 Labs Trains 178-Billion-Parameter Language Model Using Amazon EC2 P4d Instances, PyTorch.

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  • Agilent

    Agilent Improves the Performance of Its Genomics Software and Saves Time Using AWS.

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  • Ailiis

    Aillis Achieves 10x Faster Inference Using PyTorch on AWS and Amazon EC2.

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  • Baseten

    Baseten Delivers Fast, Scalable Generative AI Inference with AWS and NVIDIA.

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  • Codeway

    Codeway Saves 48% on Compute Costs for Generative AI Using Amazon EC2 G5 Instances.

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  • FLSmidth

    FLSmidth Reduces Simulation Time from Months to Days on AWS.

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  • Fireworks AI

    Fireworks AI Delivers Blazing Fast Generative AI with NVIDIA and AWS.

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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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  • 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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  • Iternal Technologies

    Iternal Technologies Improves Marketing ROI 30x with Generative AI on AWS.

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  • Lilt

    LILT Fine-Tunes Multilingual Generative AI Models with NVIDIA NeMo on AWS.

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  • Lucid Motors and ZeroLight

    Lucid Motors and ZeroLight Host Virtual Car Launch on AWS, See 46% Higher Conversion Rate.

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  • Lyft

    Lyft Increases Simulation Capacity, Lowers Costs Using Amazon EC2 Spot Instances.

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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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  • Minerva CQ

    Minerva CQ Delivers Better Outcomes for Customers Using AWS and NVIDIA.

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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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  • Netflix

    Netflix Empowers Remote Artistry with Low-Latency Workstations Using AWS Local Zones.

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  • Omniflow

    Deploying AI/ML at the Edge with Omniflow’s Sustainable Smart Lamppost, NVIDIA, and AWS.

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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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  • Paige

    Paige Furthers Cancer Treatment Using a Hybrid ML Workflow Built with Amazon EC2 P4d Instances.

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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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  • Perplexity

    Perplexity Accelerates Foundation Model Training by 40% with Amazon SageMaker HyperPod.

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  • Phind

    Creating a Generative AI Search Engine for Programmers Using NVIDIA-Powered Amazon EC2 Instances with Phind.

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  • 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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  • Read

    Read Innovates Video Call Transcription Using Amazon EC2 G5 Instances Powered by NVIDIA.

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  • Reezocar

    Reezocar Rethinks Car Buying Using Computer Vision and ML on AWS.

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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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  • Sway

    Sway Uses Amazon EC2 G4 Instances and ML to Get People Dancing.

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  • Synthesia 

    Synthesia Makes AI Video Production Effortless with Generative AI on AWS.

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  • Taylor James Studio

    Taylor James Powers Remote Creative Workforce Using AWS.

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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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  • Varjo

    Varjo Makes Cloud-Based, High-Fidelity VR/XR Delivery a Reality Using Amazon EC2 G5 Instances.

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  • Volkswagen Group Research 

    Volkswagen Group Research Works with Altair and Uses Nvidia Technology on AWS to Accelerate Aerodynamics Concept Design

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