Levelvariant
Classgeospatial
Parameters600M
Contextnot in the notes
Released3 Dec 2024
Opennessopen source
Runs onsingle datacentre GPU
Statusactive
Lineage
successor
Prithvi v1 is the parent (successor)medium confidencenotesWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
Industry Use Cases
Agriculture
Land use and crop mappingPublic Sector
Satellite monitoring (land cover, floods, forests)R&D Topics
Runtimes
Identity
- Developer
- IBM, NASA
- Family
- Prithvi-EO-2.0
- Released
- 3 Dec 2024 sourcesannouncement page
- Weights published
- –
- Record checked
- 10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer ViT masked autoencoder pretrained from scratch on NASA HLS V2, 30 m, about 4.2M samples, 6 bands
- Total parameters
- 600M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- image
- Output
- image
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open source
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- single datacentre GPU
- Footprint
- not in the notes
- Runtimes
- TerraTorch
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Links
ModelPrithvi-EO-2.0 600MIBM, geospatial
Prithvi-EO-2.0 600MIBM, geospatialR&D TopicsEarth Observation Foundation Models
Use CasesLand Use and Crop MappingAgricultureSatellite Monitoring (Land Cover, Floods, Forests)Public Sector
Who Runs It
BRIN Data Science and Information Research Center (PRSDI)Research, 10 Mar 2026Deployments of these use cases; none names this model.
BRIN Data Science and Information Research Center (PRSDI)Research, 10 Mar 2026Deployments of these use cases; none names this model.Use cases 2
Models 2
Organisations 2
Sources
- ibm-nasa-geospatial/Prithvi-EO-2.0-600M , Hugging Face huggingface.co https://huggingface.co/ibm-nasa-geospatial/Prithvi-EO-2.0-600M
- Leading the way in open Earth observation AI research.ibm.com https://research.ibm.com/blog/earth-observation-leadership
- Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications arxiv.org https://arxiv.org/abs/2412.02732v2
- github.com/NASA-IMPACT/Prithvi-EO-2.0 https://github.com/NASA-IMPACT/Prithvi-EO-2.0
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Prithvi-EO-2.0 600M", https://aurion.semai.id/models/ibm-prithvi-eo-2-0-600m/, records of October 2026.