EcoTrain is a convergence-acceleration product for foundation-model training and fine-tuning. A lightweight plugin connects to an existing training workflow, analyzes the minimum required runtime signals, and improves convergence so a task can reach useful results sooner.
Core capabilities
Reach useful results sooner
EcoTrain improves convergence efficiency within the existing training workflow. EcoTrain API reaches a stable evaluation-accuracy range earlier while keeping evaluation loss lower, shortening experiment validation and iteration cycles.
Low-friction integration
Connect the EcoTrain plugin to an existing training environment without replacing the training framework or rebuilding the workflow. Configure an API Key, then enable acceleration for a supported task.
Traceable operation
The console keeps task status and service usage records so you can follow progress, locate a run, and review service consumption.
Best-fit scenarios
- Model fine-tuning and hyperparameter experiments
- Paper reproduction, ablation studies, and research prototypes
- Individual developers who want shorter training waits
- Regular training tasks that do not need automatic early stopping
Capability boundary
| Capability | EcoTrain |
|---|---|
| Convergence acceleration | Included |
| API Key integration | Included |
| Early stopping | Not included |
| GPU-hour savings | Not included |
Get started
Continue with Preparation and Running Tasks to install the plugin and run your first task. You can also compare pricing and editions.