Modal + Datalab: Deploy high-throughput document intelligence in <5 minutes

This post details how to deploy Datalab's Marker and Surya document intelligence models on Modal. It showcases caching model weights in Modal Volumes for faster cold starts, specifying environment and hardware requirements in function decorators, and leveraging Modal's autoscaling for high throughput on batch jobs. It highlights a 10x throughput gain for Marker on Modal compared to local CPU processing, achieved through GPU utilization, Flash Attention optimizations, and environment tuning. The post also mentions Datalab's managed API platform, which uses Modal for inference.