ML Training & Admin Panel
Training in progress
GPU compute · model training · dataset pipelines · satellite processing queue
Climate Model v0.1 — awaiting training job
78%
GPU Utilization
3 active jobs
3/5
Models Online
1 training
5
Satellite Queue
2 processing
4680
GPU Hours (Month)
of 6000 limit
GPU Compute Usage — A100 Cluster
78%
4680 / 6000 GPU-hours used this billing period
Live training loss
DroughtRiskNet
online
v2.4.1
Accuracy
89%
GPU Hours
1240
Last run: 2 min ago
FloodPredictor
online
v1.8.0
Accuracy
85%
GPU Hours
890
Last run: 5 min ago
VegetationNDVI
online
v3.1.2
Accuracy
92%
GPU Hours
2100
Last run: 1 min ago
ClimateEnsemble
training
v0.9.3
Accuracy
78%
GPU Hours
450
Last run: In progress
CarbonSequestration
offline
v1.2.0
Accuracy
81%
GPU Hours
320
Last run: 3 days ago
AI Model Performance Panel
DroughtRiskNet
89.0% accuracy
FloodPredictor
85.0% accuracy
VegetationNDVI
92.0% accuracy