Technology and creativity are accelerating faster than ever!
The stand out key themes at NAB 2025 where AI driven tools, workflow optimizations, and virtual production advancements. Plus, we won NAB 2025’s Product of the Year, along with our partner Supermicro, in the AI and Machine Learning category!
Clients and visitors that we spoke to on the booth and after hours talked about their need to keep production nimble, without sacrificing quality. And the pressure to keep costs low and use time smarter. Whilst not everyone is necessarily using AI tools right now, they were eager to know how to implement them effectively into their studio’s current workflows without disruption. We’ve pulled together some insights that we discovered at the show.
AI is here, but integrating AI tools is a big challenge
We encountered loads of questions about AI, specifically how to integrate text-to-video tools into studio workflows. The first challenge being how to deploy a new tool to artists as part of each department's established workflow, without disruption. Quickly followed by how to get value out of the AI tools, and how to train artists to prompt effectively for quality output results.
Overcoming the pain of asset labeling by understanding data lakes
We’ve all experienced the pain caused by not effectively labeling assets and files on a job. Understanding data lakes and asset indexing is complex, requires resources, and is time consuming, however help is at hand! Studios, from global multi-site to small boutiques, are now looking to AI as a solution to quickly go through asset libraries, sometimes several years old, and inject metadata into the individual assets. This means artists will be able to explore and ideate faster, and studios will be able to train AI models in-house using their own IP.
Storage challenges and the transition to object-based solutions
Storage is an issue across all aspects of content creation, be it local or in the cloud. A similar theme was being discussed at NVIDIA’s GTC 2025 in March. AI Labs, and other organizations with heavy workloads, are fast moving towards object-based data lakes, enabled by AI that quickly processes abstract data without having to store it in traditional solutions. Companies like VAST Data, Weka and DDN are leading the pack in this evolution, helping companies shift from legacy storage and enabling them to interrogate and access data fast and effectively - without the hassle of huge CAPEX overheads with machinery and maintenance.
Orchestration needs to be easy
Studio’s technical teams have to manage multiple priorities - from pipeline to digital transformation, and now AI. The demands keep on getting bigger. IT and Systems teams are currently struggling with managing workstations for distributed artists, inefficient workload deployment and resource assignment, and trying to manage multi-vendor technical resources. In short, how to effectively orchestrate complex compute environments across cloud, hybrid, and on-prem infrastructure.
Manual orchestration is a major challenge and can be a headache for DevOps and IT teams. The need for simple, low-code orchestration for both workstations and AI workloads is more pertinent now than ever, not only to help manage all of these complexities in one place, but control resource overheads and bring greater efficiency to day to day operations.
RAVEL and Supermicro Turnkey AI Workload Solution
We've made adopting AI workflows simple with a pre-configured, ready-to-deploy turnkey system. Our Turnkey AI Workload Solution is designed to help businesses and developers integrate AI capabilities into their operations with minimal effort. Read our solution brief to discover more
—> AI WORKLOAD SOLUTION BRIEF
Want to discuss how we could help with your organization’s GenAI, or LLM training workload orchestration needs?
Useful links related to this article
- Want to get your head around how generative AI benefits media and entertainment? Check out this GenAI Field Guide, created by fxguide and NVIDIA —> READ HERE
- Generative AI orchestration —> READ HERE