Process 3,000 satellite images in 5 minutes for under $1

In this demo, we: - Spin up 100 VMs - Reproject 3,000 satellite images - Finish in 5 minutes for less than $1 Coiled Batch is ideal for embarrassingly parallel jobs, and is especially useful when you want a fast, low-friction way to run Python (or any other language) on multiple machines. But Batch isn’t just for satellite imagery. Teams use it for: - Multi-node GPU LLM fine-tuning - Stress-testing S3 concurrency - Running an arbitrary bash script 100 times - … or any other embarrassingly parallel job With Batch, you can: - Map over inputs with `--map-over-file` - Run on any hardware (CPUs, GPUs, ARM) in any region - Handle dependencies with package sync or Docker - Monitor jobs with hardware metrics and logs No Kubernetes YAML. No Terraform scripts. Full example here: https://docs.coiled.io/examples/batch-gdal.html