How We Re-Engineered the TESSERA Embeddings Inference Pipeline Into a Faster, Cheaper, Cloud-Native Open Source Library

This post is for geospatial foundation model builders, cloud data engineers and other technical specialists who want to learn from, or replicate, our work optimizing the production of TESSERA embeddings at every scale — most notably when processing the entire 2017–2025 archive of Sentinel-1 and Sentinel-2