Levelvariant
Classgeospatial
Parameters300M
Contextnot in the notes
Released3 Dec 2024
Opennessopen source
Runs onsingle datacentre GPU
Statusactive
Industry Use Cases
Public 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
- 300M 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.
Lineage
The notes record no lineage for this model.
Links
Model
Prithvi-EO-2.0 300MIBM, geospatial
Prithvi-EO-2.0 300MIBM, geospatialR&D TopicsEarth Observation Foundation Models
Who Runs Itnone recordedDeployments of these use cases; none names this model.
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 300M", https://aurion.semai.id/models/ibm-prithvi-eo-2-0-300m/, records of October 2026.
