One Video. 16 Extractors. 4 Seconds. (Parallel ML Pipeline)
Summary
Most AI pipelines process files sequentially — one model at a time. A single 10-minute video takes 3+ minutes. Here's what happens when you fan out to 16 extractors in parallel:
About this video
Most AI pipelines process files sequentially — one model at a time. A single 10-minute video takes 3+ minutes. Here's what happens when you fan out to 16 extractors in parallel: 1. One file hits the system 2. Ray fans it out to 16 workers simultaneously 3. Face, text, audio, object, sentiment, embeddings — all at once 4. GPU workers handle heavy models, CPU handles light ones 5. 4 seconds later: 33 searchable vector indexes The file doesn't wait. The extractors do. See the architecture: mixpeek.com #AI #MachineLearning #DataPipeline #RayComputing #ParallelProcessing #MLOps #AIInfrastructure #FeatureExtraction