# NASA-IBM Lunar Foundation Model Goes Open Source With a 2M-Tile Dataset and 22% Lower Ice-Mapping Error

DevFeed: [NASA-IBM Lunar Foundation Model Goes Open Source With a 2M-Tile Dataset and 22% Lower Ice-Mapping Error](<https://devfeed.tech/articles/nasa-ibm-lunar-foundation-model-goes-open-source-with-a-2m-tile-dataset-and-22-lower-ice-mapping-error-17437.md>)

Original publisher: [Read original article](<https://www.storagereview.com/news/nasa-ibm-lunar-foundation-model-goes-open-source-with-a-2m-tile-dataset-and-22-lower-ice-mapping-error>)

Author: Harold Fritts

Published: 2026-09-14T16:43:16Z

Content type: news

Language: en

Sources: [StorageReview.com](<https://devfeed.tech/sources/storagereview-com.md>)

Topics: [lunar foundation model](<https://devfeed.tech/topics/lunar-foundation-model.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [ibm](<https://devfeed.tech/topics/ibm.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [data](<https://devfeed.tech/tags/data.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [lunar-foundation-model](<https://devfeed.tech/tags/lunar-foundation-model.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [nasa](<https://devfeed.tech/tags/nasa.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [space](<https://devfeed.tech/tags/space.md>)

## AI overview

IBM and NASA have released the NASA-IBM Lunar Foundation Model as open source on Hugging Face, along with its weights, technical report, and training dataset. Built on TerraMind, the model uses multimodal lunar observations for tasks including ice-deposit mapping, volcanic-feature detection, and crater detection. Reported benchmarks show up to 22% lower ice-mapping error than SwinV2-B, while the accompanying dataset contains roughly 2 million image tiles from nine instruments across four lunar missions.

## Source excerpt

IBM and NASA have released the NASA-IBM Lunar Foundation Model as open source, one of the first publicly available foundation models built for scientific study of the Moon. The weights, a technical report, and the machine-learning-ready dataset it was trained on are up on Hugging Face under the Prithvi family, which already covers Earth observation, The post NASA-IBM Lunar Foundation Model Goes Open Source With a 2M-Tile Dataset and 22% Lower Ice-Mapping Error appeared first on StorageReview.com.