A 10-billion-parameter climate downscaling model trained on 65,536 GPUs at up to 4.1 exaFLOPS, with R2 0.98 to 0.99 at 7 km, but with token-count and validation caveats.
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ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
A 10-billion-parameter climate downscaling model trained on 65,536 GPUs at up to 4.1 exaFLOPS, with R2 0.98 to 0.99 at 7 km, but with token-count and validation caveats.