OlmoEarth: Geospatial AI Inference at Planetary Scale from AllenAI

AllenAI has published details on the OlmoEarth platform, an infrastructure system designed to run geospatial AI inference at planetary scale using satellite and earth observation data. The platform builds on the OLMo model family and is engineered to handle the data volume, spatial indexing, and inference throughput demands that come with processing global-scale geospatial datasets. For AI engineers working in climate tech, agriculture, urban planning, or logistics, this represents a reference architecture for how to adapt large language and vision models to structured geospatial reasoning tasks at production scale. The open publication of the infrastructure approach — not just the model weights — is particularly valuable, as geospatial ML pipelines have historically been poorly documented. Developers can use this as a blueprint for building similar domain-specific large-scale inference systems.