--- title: Flawless Features in AWS AI Case Study description: Inside Flawless’s journey to a faster, more scalable GPU infrastructure. image: https://flawlessai.com/hubfs/Website%20Assets/Press%20blog%20images/Screenshot%202025-11-26%20at%2011.16.45.png --- [Skip to content](https://flawlessai.com/press/aws-ai-case-study#main-content) Close [Log in to DeepEditor™](https://auth.flawless.app/u/login?state=hKFo2SA4NGphQW1tTnVoTkVFbkpZMHVtXzhPUzY5eTZIbW1Vc6Fur3VuaXZlcnNhbC1sb2dpbqN0aWTZIDBoQjZhdl9SVkRiQXJwN1l6OFZnQ2d6aC1TdlVkZWpPo2NpZNkgSGlnT25jYUZBejZHeXNwdU9sOEczS3NRQ2NicTVSZUI) [Enterprise Sales](https://flawlessai.com/get-started) [![Flawless\_logo-1](https://flawlessai.com/hubfs/Flawless_logo-1.svg)![Flawless\_logo](https://flawlessai.com/hubfs/Flawless_logo.svg)](https://flawlessai.com) - [Product](https://flawlessai.com/product) - [Mission](https://flawlessai.com/mission) - [Research](https://flawlessai.com/research) - [Security](https://flawlessai.com/data-security) [Log in to DeepEditor™](https://auth.flawless.app/u/login?state=hKFo2SA4NGphQW1tTnVoTkVFbkpZMHVtXzhPUzY5eTZIbW1Vc6Fur3VuaXZlcnNhbC1sb2dpbqN0aWTZIDBoQjZhdl9SVkRiQXJwN1l6OFZnQ2d6aC1TdlVkZWpPo2NpZNkgSGlnT25jYUZBejZHeXNwdU9sOEczS3NRQ2NicTVSZUI) [Enterprise Sales](https://flawlessai.com/get-started) Product [DeepEditor™ Sync new dialogue and refine performances](https://flawlessai.com/product-old)[TrueSync™ Localize dialogue with perfect sync](https://flawlessai.com/localization-and-dubbing-old) Use Cases [In-Vision ADR Sync adjusted dialogue to existing shots](https://flawlessai.com/in-vision-adr-old)[Performance Transfer Combine the best performance and shot](https://flawlessai.com/performance-transfer-old) [Censorship Editing Replace offensive language](https://flawlessai.com/censorship-editing-old)[Performance Editing Adjust pacing or remove lines entirely](https://flawlessai.com/performance-editing-muting-old) ![Featured image for Flawless in AWS AI case study](https://flawlessai.com/hs-fs/hubfs/Website%20Assets/Press%20blog%20images/Screenshot%202025-11-26%20at%2011.16.45.png?width=300&name=Screenshot%202025-11-26%20at%2011.16.45.png) [Flawless News](https://flawlessai.com/press/author/flawless-news)Nov 20, 2025, 11:00:00 AM2 min read # Flawless Features in AWS AI Case Study [Previous](https://flawlessai.com/press/watch-the-skies-prime-video-us) [Next](https://flawlessai.com/press/flawless-key-code-education-partner-deepeditor-training-program) We’re excited to share that Flawless has been spotlighted by Amazon Web Services (AWS) in a brand-new case study highlighting how our team modernized and scaled our AI infrastructure using Amazon EKS Hybrid Nodes. AWS profiled how Flawless is using hybrid GPU infrastructure to accelerate research, streamline operations, and power our next generation of assistive AI tools for filmmakers. The feature includes in-depth insights from James Morgan, Principal Platform Engineer, and Will Ferguson, Director of Platform Engineering at Flawless. ## Inside Flawless’s Journey to a Faster, More Scalable GPU Infrastructure As Flawless continues to scale our visual dubbing and localization technologies to support major studios worldwide, the demands on our model-training and rendering infrastructure have grown significantly. Working closely with AWS, we adopted Amazon EKS Hybrid Nodes—a new approach that unifies on-premises and cloud GPU resources under a single control plane. This shift has created a huge leap forward for our R&D and production teams. Key improvements highlighted in the AWS case study include: - 5× increase in rendering speed for DeepEditor workloads - Training cycles reduced from weeks to just a few days - Centralized, automated scheduling for researchers using KAI, Kueue, Karpenter, and KEDA - Lower operational overhead, allowing our teams to stay focused on innovation - Seamless ability to burst into AWS as workloads scale As James Morgan shared with AWS: > “Because of our growth, we needed to significantly scale our operations. Amazon EKS Hybrid Nodes presented us with a cost-efficient scaling solution.” ## A Collaborative Effort With AWS Support The AWS case study also highlights the close collaboration between Flawless and AWS Support, who helped accelerate networking, orchestration, and GPU-integration work across our hybrid environment. Will Ferguson noted: > “When we had queries or questions, the AWS team was there to answer them. That support helped speed up the project. An issue that might have taken weeks of debugging could be solved in a few days.” This partnership was instrumental in helping us build an infrastructure foundation that supports rapid iteration, more experiments, and faster delivery of research breakthroughs into production. ## Powering the Future of Creative AI At Flawless, our mission is to build artist-first, assistive AI that empowers filmmakers, protects creativity, and expands global storytelling. Modernizing our compute infrastructure is an essential part of delivering on that mission. With Amazon EKS Hybrid Nodes, we now have the flexibility, scale, and performance to support our growing customer base while continuing to push the boundaries of what’s possible in visual dubbing and localization. We’re proud to see this work recognized by AWS—and we’re just getting started. Read more about the case study on the [AWS website](https://aws.amazon.com/solutions/case-studies/flawless-case-study/). ![avatar](https://flawlessai.com/hs-fs/hubfs/F%20icon.png?width=290&name=F%20icon.png) [Flawless News](https://flawlessai.com/press/author/flawless-news) ## RELATED ARTICLES [![logo](https://flawlessai.com/hs-fs/hubfs/Flawless%20Logo_Red%20Text%20Red%20Icon.png?width=150&height=50&name=Flawless%20Logo_Red%20Text%20Red%20Icon.png "logo")](https://flawlessai.com) © Copyright 2025, Flawless Los Angeles, USA London, UK  - Company - [Partnerships](https://flawlessai.com/partnerships) - [Careers](https://flawlessai.com/careers) - [Mission](https://flawlessai.com/mission) - [News](https://flawlessai.com/press) - Resources - [Flawless Academy](https://www.youtube.com/playlist?list=PLv3FdG0n2ZP3PdIw8cmo9rTnjne5OKGjX) - [Knowledge Base](https://kb.flawlessai.com/) - [Case Studies](https://flawlessai.com/case-studies) - [Research](https://flawlessai.com/research) - [Blog](https://flawlessai.com/blog) - Advertising Use Cases - [Dialogue Replacement](https://flawlessai.com/dialogue-replacement) - [Campaign Revialization](https://flawlessai.com/campaign-revitalization) - [Moment-Relevant Editing](https://flawlessai.com/moment-relevant-editing) - [Hyper-Personalization](https://flawlessai.com/hyper-personalization) - [Advertising Localization](https://flawlessai.com/advertising-localization) All rights reserved - [Cookie & Privacy Policy](https://flawlessai.com/cookie-privacy-policy) ```json { "@context" : "https://schema.org", "@type" : "Organization", "address" : { "@type" : "PostalAddress", "addressCountry" : "United Kingdom", "addressLocality" : "London", "addressRegion" : "Greater London", "postalCode" : "WC2H 9JQ", "streetAddress" : "71-75 Shelton Street" }, "knowsLanguage" : "en", "logo" : { "@type" : "ImageObject", "url" : "https://47484162.fs1.hubspotusercontent-na1.net/hubfs/47484162/Flawless%20Logo_Red%20Text%20Red%20Icon.png" }, "name" : "Flawless Holdings Limited", "url" : "https://flawlessai.com/press/aws-ai-case-study" } ``` ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "abstract" : "Inside Flawless’s journey to a faster, more scalable GPU infrastructure.", "author" : { "@type" : "Person", "name" : "Flawless News" }, "dateModified" : "", "datePublished" : "", "headline" : "Flawless Features in AWS AI Case Study", "image" : "https://47484162.fs1.hubspotusercontent-na1.net/hubfs/47484162/Website%20Assets/Press%20blog%20images/Screenshot%202025-11-26%20at%2011.16.45.png", "inLanguage" : "en", "keywords" : "[]", "mainEntityOfPage" : { "@type" : "WebPage" }, "name" : "Flawless Features in AWS AI Case Study", "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://47484162.fs1.hubspotusercontent-na1.net/hubfs/47484162/Flawless%20Logo_Red%20Text%20Red%20Icon.png" }, "name" : "Flawless Holdings Limited" }, "text" : "We’re excited to share that Flawless has been spotlighted by Amazon Web Services (AWS) in a brand-new case study highlighting how our team modernized and scaled our AI infrastructure using Amazon EKS Hybrid Nodes. AWS profiled how Flawless is using hybrid GPU infrastructure to accelerate research, streamline operations, and power our next generation of assistive AI tools for filmmakers. The feature includes in-depth insights from James Morgan, Principal Platform Engineer, and Will Ferguson, Director of Platform Engineering at Flawless. Inside Flawless’s Journey to a Faster, More Scalable GPU Infrastructure As Flawless continues to scale our visual dubbing and localization technologies to support major studios worldwide, the demands on our model-training and rendering infrastructure have grown significantly. Working closely with AWS, we adopted Amazon EKS Hybrid Nodes—a new approach that unifies on-premises and cloud GPU resources under a single control plane. This shift has created a huge leap forward for our R&D and production teams. Key improvements highlighted in the AWS case study include: 5× increase in rendering speed for DeepEditor workloads Training cycles reduced from weeks to just a few days Centralized, automated scheduling for researchers using KAI, Kueue, Karpenter, and KEDA Lower operational overhead, allowing our teams to stay focused on innovation Seamless ability to burst into AWS as workloads scale As James Morgan shared with AWS: “Because of our growth, we needed to significantly scale our operations. Amazon EKS Hybrid Nodes presented us with a cost-efficient scaling solution.” A Collaborative Effort With AWS Support The AWS case study also highlights the close collaboration between Flawless and AWS Support, who helped accelerate networking, orchestration, and GPU-integration work across our hybrid environment. Will Ferguson noted: “When we had queries or questions, the AWS team was there to answer them. That support helped speed up the project. An issue that might have taken weeks of debugging could be solved in a few days.” This partnership was instrumental in helping us build an infrastructure foundation that supports rapid iteration, more experiments, and faster delivery of research breakthroughs into production. Powering the Future of Creative AI At Flawless, our mission is to build artist-first, assistive AI that empowers filmmakers, protects creativity, and expands global storytelling. Modernizing our compute infrastructure is an essential part of delivering on that mission. With Amazon EKS Hybrid Nodes, we now have the flexibility, scale, and performance to support our growing customer base while continuing to push the boundaries of what’s possible in visual dubbing and localization. We’re proud to see this work recognized by AWS—and we’re just getting started. Read more about the case study on the AWS website.", "url" : "https://flawlessai.com/press/aws-ai-case-study", "wordCount" : "909" } ``` ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Flawless News", "url" : "https://flawlessai.com/press/author/flawless-news" }, "dateModified" : "2025-11-26T12:09:04.093Z", "datePublished" : "2025-11-20T11:00:00.000Z", "headline" : "Flawless Features in AWS AI Case Study", "image" : [ "https://flawlessai.com/hubfs/Website%20Assets/Press%20blog%20images/Screenshot%202025-11-26%20at%2011.16.45.png" ], "mainEntityOfPage" : { "@id" : "https://flawlessai.com/press/aws-ai-case-study", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://flawlessai.com/hubfs/Flawless%20Logo_Red%20Text%20Red%20Icon.png" }, "name" : "Flawless AI Inc." } } ```