Modal Serverless GPU Comprehensive guide to running ML workloads on Modal's serverless GPU cloud platform. When to use Modal Use Modal when: - Running GPU-intensive ML workloads without managing infrastructure - Deploying ML models as auto-scaling APIs - Running batch processing jobs (training, inference, data processing) - Need pay-per-second GPU pricing without idle costs - Prototyping ML applications quickly - Running scheduled jobs (cron-like workloads) Key features: - Serverless GPUs : T4, L4, A10G, L40S, A100, H100, H200, B200 on-demand - Python-native : Define infrastructure in Python…