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DreamWorks Animation

dreamworks.com
Confirmed AI Use
12 sources cited·Reviewed and published by 1 editor·View edit history

AI Usage at a Glance

2Creative Gen
2Productivity

Timeline

Aug 9, 2018

Productivity

Practice documented: DreamWorks Animation uses an AI and machine learning system to automatically monitor its animation production infrastructure, detect anomalies, and send alerts to engineers before problems disrupt film production. The system is powered by NetApp Active IQ and runs continuously across the studio's internal IT environment.

Practice DocumentedView practice →

Apr 1, 2020

Productivity

Practice documented: DreamWorks Animation deployed an internal machine learning model server called ForestFlow to manage the deployment and lifecycle of ML models used in its animation production pipeline, particularly for scheduling and optimizing rendering jobs. DreamWorks open-sourced ForestFlow in 2020 through the Linux Foundation AI project.

Practice DocumentedView practice →

Apr 23, 2020

Productivity

New evidence: ForestFlow Joins LF AI as New Incubation Project

Evidence AddedView practice →

Apr 24, 2020

Productivity

New evidence: ITOps Times Open-Source Project of the Week: ForestFlow

Evidence AddedView practice →

Jun 1, 2020

Productivity

New evidence: DreamWorks keeps production on track with AIOps

Evidence AddedView practice →

Mar 15, 2023

Creative Gen

Practice documented: DreamWorks Animation deployed MoonRay, its in-house production renderer, across all of its recent feature films including How to Train Your Dragon: The Hidden World, Kung Fu Panda 4, The Wild Robot, and The Bad Guys 2. MoonRay includes AI-powered denoising that cleans up visual noise in rendered images, allowing artists to see near-final quality results faster during production.

Practice DocumentedView practice →

Feb 1, 2024

Productivity

New evidence: DreamWorks Animation and their NetApp Partnership

Evidence AddedView practice →

Apr 3, 2024

Creative Gen

Practice documented: DreamWorks Animation used AI for crowd simulation and character motion retargeting in Kung Fu Panda 4 (2024), allowing the studio to reuse complex movement data from earlier films and apply it to thousands of background characters with varied visual appearances in densely populated city scenes.

Practice DocumentedView practice →

Dec 23, 2025

Creative Gen

New evidence: AI in Animation: 2025 Strategic Report for Production

Evidence AddedView practice →

Feb 9, 2026

Creative Gen

New evidence: DreamWorks Animation releases MoonRay 2.40

Evidence AddedView practice →

Recent activity

Creative Generation

DreamWorks Animation used AI for crowd simulation and character motion retargeting in Kung Fu Panda 4 (2024), allowing the studio to reuse complex movement data from earlier films and apply it to thousands of background characters with varied visual appearances in densely populated city scenes.

Secondary reporting indicates DreamWorks employed AI-driven crowd simulation on Kung Fu Panda 4 to populate large scenes — including Juniper City, described as densely packed with characters at different size ratios — by reusing and retargeting animation data from previous productions. This approach is described as part of a broader industry shift toward using AI to handle background character animation at scale. The studio's production team described the film as containing rich layers of movement among crowd characters. No primary source from DreamWorks specifically describes the AI tooling used for this purpose.

Kung Fu Panda 4 (2024)
2 sources · Vitrina AI · Dec 23, 2025Read full entry →
Productivity AutomationVerified

DreamWorks Animation deployed an internal machine learning model server called ForestFlow to manage the deployment and lifecycle of ML models used in its animation production pipeline, particularly for scheduling and optimizing rendering jobs. DreamWorks open-sourced ForestFlow in 2020 through the Linux Foundation AI project.

ForestFlow is a scalable, policy-based, cloud-native machine learning model server built by DreamWorks' principal architect Ahmad Alkilani to solve the challenge of moving ML models into production at scale. According to Alkilani, the system was developed because ML models affecting rendering job scheduling had a 'material impact' on the studio's bottom line, and keeping those models current as production data changed was a key operational need. ForestFlow supports automated model retraining triggers, A/B testing, canary deployments, and performance-based model routing. DreamWorks contributed ForestFlow to the LF AI Foundation as an open-source incubation project in April 2020.

DreamWorks Animation internal rendering pipelineForestFlow (open-source)
3 sources · ITOps Times · Apr 24, 2020Read full entry →
Creative GenerationVerified

DreamWorks Animation deployed MoonRay, its in-house production renderer, across all of its recent feature films including How to Train Your Dragon: The Hidden World, Kung Fu Panda 4, The Wild Robot, and The Bad Guys 2. MoonRay includes AI-powered denoising that cleans up visual noise in rendered images, allowing artists to see near-final quality results faster during production.

MoonRay is a Monte Carlo ray-tracing renderer developed internally at DreamWorks and used on all recent feature films. It incorporates GPU render denoising via Intel's Open Image Denoise, an AI-based image processing tool that removes noise artifacts from partially rendered frames, allowing artists to work with lower sample counts and faster iteration times. MoonRay was first used on the short film Bilby in 2018, made its feature debut on How to Train Your Dragon: The Hidden World in 2019, and was open-sourced by DreamWorks in March 2023 under an Apache 2.0 license. It remains in active internal use at DreamWorks and was used on The Wild Robot (2024) and The Bad Guys 2.

DreamWorks Animation feature filmsMoonRay (open-source)
4 sources · CG Channel · Feb 9, 2026Read full entry →

All practices by category

4 practices

Cite this record

Trace Foundation. (2026). DreamWorks Animation: documented AI practices (data as of 2026-05-11) [Data set record]. AI Trace. https://www.aitrace.org/r/company/c316c126-e3e4-4c24-968c-20e56f199202. Accessed September 7, 2026.

Stable link
https://www.aitrace.org/r/company/c316c126-e3e4-4c24-968c-20e56f199202
Data as of
May 11, 2026
Last verified
Not recorded

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