The OlmoEarth Platform: Geospatial inference at planetary scale
org/olmoearth The OlmoEarth models are our family of Earth observation foundation models, pretrained on roughly 10 terabytes of multimodal satellite data. Governments, NGOs, and other mission-driven organizations are already adapting OlmoEarth for applications including deforestation monitoring, food security, and wildfire risk.
Key Takeaways
- A Blog post by Ai2 on Hugging Face Back to Articles a]:hidden"> The OlmoEarth Platform: Geospatial inference at planetary scale Enterprise Article Published July 28, 2026 Upvote 1 Kyle Wiggers Ai2Comms Follow allenai 🌍 Learn more about OlmoEarth Platform: https://allenai.
At Ai2, we know how to train and release powerful open models, and for organizations with strong engineering teams, an open model is all they need to run with.
- That's why we built the OlmoEarth Platform : infrastructure for taking geospatial models from fine-tuning and evaluation to large-scale inference.
- Developing it meant confronting a series of engineering challenges that others working on large-scale geospatial systems are likely to encounter as well.
This post walks through those challenges and the solutions we arrived at.
- The inputs may span multiple spectral bands, sensor types, and time steps across a large geographic area.
They can come from several providers, each using different projections and resolutions, and may include observations that are missing or obscured by clouds.
- The right hardware for the right task Because data acquisition and preparation often dominate an inference job's runtime, assigning that work to GPUs would leave the system's most expensive hardware doing tasks better suited to CPUs.
Stats & Key Facts
- #org/olmoearth The OlmoEarth models are our family of Earth observation foundation models, pretrained on roughly 10 terabytes of multimodal satellite data.
A Blog post by Ai2 on Hugging Face Back to Articles a]:hidden"> The OlmoEarth Platform: Geospatial inference at planetary scale Enterprise Article Published July 28, 2026 Upvote 1 Kyle Wiggers Ai2Comms Follow allenai 🌍 Learn more about OlmoEarth Platform: https://allenai. org/olmoearth The OlmoEarth models are our family of Earth observation foundation models, pretrained on roughly 10 terabytes of multimodal satellite data. Governments, NGOs, and other mission-driven organizations are already adapting OlmoEarth for applications including deforestation monitoring, food security, and wildfire risk.
At Ai2, we know how to train and release powerful open models, and for organizations with strong engineering teams, an open model is all they need to run with. But most organizations in the environmental space - the ones best placed to apply these models - don't have the infrastructure or engineering teams that can manage the full lifecycle: labeling data, fine-tuning models, and running large-scale inference. We've spent more than a decade operating platforms like Skylight and EarthRanger , software that users around the world rely on every day, so it has to work every day.
That experience taught us what delivering impact takes: running models cost-effectively at the right time and place, monitoring performance, turning raw outputs into actionable insights, and verifying those outputs drive the outcomes partners want. That's why we built the OlmoEarth Platform : infrastructure for taking geospatial models from fine-tuning and evaluation to large-scale inference. Inference at this scale presents its own set of challenges.
For more details please read the original article at Hugging Face.
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