AlphaEarth Foundations (AEF)

Training compute

8.5×10²¹ FLOP

Parameters

480M

Published

Jul 30, 2025

AlphaEarth Foundations (AEF) is an AI model developed by Google DeepMind and Google (United States), first published in July 2025. It works in the earth science domain, on tasks such as entity embedding and crop mapping / segmentation.

Training it took an estimated 8.5×10²¹ FLOP of compute (estimation method: hardware). The model has 480,000,000 parameters. Training ran on 512 Google TPU v4 for about 56 hours.

Access: Hosted access (no API). Its weights are not openly released. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Google DeepMind, Google
Country of organization: United States
Domain: Earth science
Task: Entity embedding, Crop Mapping / Segmentation
Training compute: 8.5×10²¹ FLOP
Compute estimation method: Hardware
Parameters: 480,000,000
Training hardware: Google TPU v4
Chips used: 512
Training time: 56 h
Training power draw: 340.5 kW
Model accessibility: Hosted access (no API)
Open weights: No
Epoch confidence: Confident