Customer Stories / Media and Entertainment
Create from Anywhere: The Netflix Workstations Story
Netflix is poised to become the world’s most prolific visual effects and animated content studio. To enable its artists around the world, it built Netflix Workstations, a secure way to access remote desktops and stream creative applications from any data center to any device. Artists can now access high-performing virtual workstations on Amazon Web Services (AWS) with the freedom to create no matter where they are. In this re:Invent 2022 session, learn how Netflix used AWS services such as NICE DCV, Amazon Elastic Compute Cloud (Amazon EC2) G4 instances, and also the open source continuous delivery platform, Spinnaker, developed by Netflix as its workstation solution. Watch the video to get a glimpse into the future of workstations and how they can be used for a variety of workflows.
AWS Services Used
NICE DCV
NICE DCV is a high-performance remote display protocol that provides customers with a secure way to deliver remote desktops and application streaming from any cloud or data center to any device, over varying network conditions.
Amazon EC2 G4 Instances
Amazon EC2 G4 instances are the industry’s most cost-effective GPU instances for machine learning inference and graphics-intensive applications.
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United States
Netflix Catalogs Objects Across Hybrid Cloud Storage Systems
In this re:Invent 2022 session, learn how Netflix uses a hybrid cloud storage solution that combines Amazon Web Services (AWS) and on-premesis storage. -
United States
Netflix Operates Mission-Critical Data Stores on AWS
Learn how distributed database engineers have established tools, techniques, and approaches on Amazon Web Services (AWS) to debug and mitigate failures. -
United States
Netflix Uses Amazon FSx for Large-Scale Distributed Training of Media Machine Learning
In this AWS re:Invent 2021 session, learn about the challenges of scalable distributed training of media machine learning (ML) models on multi-GPU nodes used by Netflix. -
United States
More Data Science with Less Engineering: ML Infrastructure at Netflix
In this AWS re:Invent session, Netflix shares its human-centric design principles that provides its engineers with autonomy.
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