Conductor Technologies’ cloud rendering platform will now support Amazon Web Services (AWS) and Amazon Elastic Compute Cloud (Amazon EC2), bringing the virtual compute resources of AWS to Conductor customers. This new capability will provide content production studios working in visual effects, animation and immersive media access to new, secure, powerful resources that will allow them — according to the company — to quickly and economically scale render capacity. Amazon EC2 instances, including cost-effective Spot Instances, are expected to be available via Conductor this summer.
“Our goal has always been to ensure that Conductor users can easily access reliable, secure instances on a massive scale. AWS has the largest and most geographically diverse compute, and the AWS Thinkbox team, which is highly experienced in all facets of high-volume rendering, is dedicated to M&E content production, so working with them was a natural fit,” says Conductor CEO Mac Moore. “We’ve already been running hundreds of thousands of simultaneous cores through Conductor, and with AWS as our preferred cloud provider, I expect we’ll be over the million simultaneous core mark in no time.”
Simple to deploy and highly scalable, Conductor is equally effective as an off-the-shelf solution or customized to a studio’s needs through its API. Conductor’s intuitive UI and accessible analytics provide a wealth of insightful data for keeping studio budgets on track. Apps supported by Conductor include Autodesk Maya and Arnold; Foundry’s Nuke, Cara VR, Katana, Modo and Ocula; Chaos Group’s V-Ray; Pixar’s RenderMan; Isotropix’s Clarisse; Golaem; Ephere’s Ornatrix; Yeti; and Miarmy. Additional software and plug-in support are in progress, and may be available upon request.
Some background on Conductor: it’s a secure cloud-based platform that enables VFX, VR/AR and animation studios to seamlessly offload rendering and simulation workloads to the public cloud. As the only rendering service that is scalable to meet the exact needs of even the largest studios, Conductor easily integrates into existing workflows, features an open architecture for customization, provides data insights and can implement controls over usage to ensure budgets and timelines stay on track.
During NAB 2019, Amazon Web Services (AWS) showcased advances for content creation, media supply chains and content distribution that improve agility and enhance quality across video workflows. Demonstrations included enhanced live and on-demand video workflows, such as next-gen transcoding, studio in the cloud, content protection, low latency and personalization. The company also highlighted cloud-based machine learning capabilities for content redaction, highlight creation, video clipping, live subtitling and metadata extraction.
AWS was joined by 12 technology partners in showing solutions that help users create, protect, distribute and monetize streaming video content. More than 60 Amazon Partner members across the show floor demonstrated media solutions built on AWS and interoperable with AWS services to deliver scalable video workflows.
Here are some workflows highlighted:
• Studio in the cloud – Users can deploy a creative studio in the cloud for visual effects, animation and editing workloads. They can scale rendering, virtual workstations and data storage globally with AWS Thinkbox Deadline, Amazon Elastic Compute Cloud (EC2) instances and AWS Cloud storage options such as Amazon Simple Storage Service (Amazon S3), Amazon FSx and more.
• Next-generation transcoding – AWS Elemental MediaConvert spotlighted advanced features for file-based video processing. Support for IMF inputs and CMAF output simplifies video delivery, and integrated Quality-Defined Variable Bitrate (QVBR) rate control enables high-quality video while lowering bitrates, storage and bandwidth requirements.
• Cloud DVR services – AWS Elemental MediaPackage enables an end-to-end cloud DVR workflow that lets content providers deliver DVR-like experiences, such as catch-up and start-over functionality for viewing on mobile and other over-the-top (OTT) devices.
AWS also highlighted intelligent workflows and automated capabilities:
• Media-to-cloud migration – Media asset management tools integrate with AWS Elemental MediaConvert, Amazon S3 and Amazon CloudFront to accelerate migration of large-scale video archives into the cloud. Built-in metadata tools improve search and management for massive media archives.
• Smart language workflows – AWS Elemental Media Services and Amazon Machine Learning work together to automate realtime transcription, caption creation and multi-language subtitling and dubbing, as well as creation of video clips based on caption text.
• Deep media archive – The new Amazon S3 Glacier Deep Archive storage class is a low-cost cloud storage offering that enables customers to eliminate digital tape from their media infrastructures. It is ideally suited to cold media archives and to second copy and disaster recovery needs.