The case for moving creative production AI to the edge
Not every AI workload belongs in the same place. Large language models often fit logically in the cloud because they can serve as general-purpose engines that improve with scale and draw value from broad, up-to-date knowledge.
But the AI workloads moving into production are not just text and language, and we’re increasingly seeing enterprises adopt multimodal models for AI video, audio, and image generation and seeing massive advantages across compute usage, control of IP, and ability to customize the look and feel of creative output.
Co-founder and CEO of LTX.
For these types of creative production, the raw material they’re using to build is not the open web. Instead, it’s often footage, branded assets, or unreleased IP that already lives within the organization’s walls. In these instances, there’s a clear need for running the models closer to where that content already resides.
That’s because creative production is iterative by nature,...
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