14 quotas for Amazon Machine Learning. 11 can be increased.
| Quota | Default | Status |
|---|---|---|
Total rate of all real-time prediction requests Total rate of all real-time prediction requests throughput | 10,000 count | Adjustable |
Classes for multiclass ML models Classes for multiclass ML models general | 100 count | Adjustable |
Variables per data file Variables per data file storage | 1,000 count | Adjustable |
Training data size Training data size storage | 100 Gigabytes | Adjustable |
Recipe complexity Recipe complexity general | 10,000 count | Adjustable |
Job runtime Job runtime general | 7 count | Fixed |
Batch prediction input size Batch prediction input size storage | 1 Terabytes | Adjustable |
ML model size ML model size storage | 2 Gigabytes | Fixed |
Simultaneous jobs Simultaneous jobs general | 25 count | Adjustable |
Observation size Observation size storage | 100 Kilobytes | Adjustable |
Batch prediction input records Batch prediction input records general | 100,000,000 count | Adjustable |
Total RAM for all real-time prediction endpoints Total RAM for all real-time prediction endpoints networking | 10 Gigabytes | Adjustable |
Rate of real-time prediction requests per endpoint Rate of real-time prediction requests per endpoint throughput | 200 count | Adjustable |
Tags per object Tags per object storage | 50 count | Fixed |
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