Visual effects rendering in the cloud with QF2

Posted December 6, 2017 by Bryan Flynn — Marketing Coordinator. Filed under Company.

FuseFX is an award-winning visual effects studio whose expertise in visual effects spans episodic television, film, commercials, games and special venues. FuseFX employs about 300 people and has three studio locations. They have more than 60 television shows in production simultaneously, in addition to various commercial and feature projects.

There are many challenges to running a visual effects studio, and one is how to build and maintain a render farm. The amount of power and heat that a render farm generates and the infrastructure needed to carry it is massive. The tight deadlines of episodic television , where studios only have two or three weeks for a project, only compounds the challenge.

What can a studio do when they need to quickly scale their render farm to meet a deadline? Renting equipment may not be a feasible solution. When you consider how long it takes to order, deliver, and rack and stack the nodes,, as well as finding enough data center space, power, networking, and cooling, it may seem like there’s no reasonable answer—unless you start looking at the cloud.

Download the full FuseFX case study (PDF, 8 pages)

Cloud computing for visual effects

The first foray into the cloud for FuseFX happened around the same time they opened offices in New York and Vancouver. They wanted to use each office as needed for production work and rendering, but had an immediate problem of transferring data between locations. For that, FuseFX designed its own synchronization software powered by their own proprietary production platform, Nucleus.

That left them with the issue of scaling their cloud computing capabilities. The initial version of their virtual render farm ran on a single, high-powered instance on AWS, but the storage architecture couldn’t handle more than 200 to 300 virtual machines. To run more instances, they needed fast, clustered storage.

FuseFX already had a QF2 cluster on-premise, and they began talking with us about a cloud-based solution. This happened to be when we were working on extending QF2 to AWS, and the team at FuseFX jumped at the chance to try it out. They experimented with a single instance early on and liked what they saw. When the four-node cluster became available, they were ready to integrate it into their production pipeline.

Cloud pipeline for visual effects

Besides QF2, the FuseFX pipeline uses EC2 Spot Instances for scalable, low-cost computing, Deadline for queue management and managing bids for the spot instances, Thinkbox Marketplace usage-based licensing (UBL) for flexible licensing, and V-Ray for rendering. Here is an illustration of the pipeline:


Once it’s synchronized to the QF2 cluster in AWS, rendering can occur both locally and in the cloud at the same time. A local machine can, for example, pick up the first frame and a cloud node can pick up the second frame. Deadline manages the distribution so that the cloud is simply an extension of the on-premise render farm.

The QF2 cluster was put to the test when FuseFX was working on episodes of The Tick. Download the full FuseFX case study (PDF, 8 pages) to find out how their cloud pipeline held up. Jason Fotter, co-founder and CTO of FuseFX presented their use of the AWS cloud at this year’s AWS re:Invent. You can watch the presentation here:

Further Suggested Material


Try QF2 for AWS

You can create a standalone instance of QF2 on AWS or download a VMware OVA file for free and create a QF2 virtual cluster

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Qumulo case study: FuseFX

Download the full case study with FuseFX highlighting how they use QF2 to expand their storage footprint into the cloud. This case study also outlines a specific workflow around making The Tick.

Bryan Flynn
Marketing Coordinator
It is exciting to see how many different industries are using Qumulo. From animation to genomic research, Qumulo is at the forefront of innovation

As a Marketing Coordinator, Bryan is responsible for Qumulo's blog and social channels.

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