Train & Fine-Tune Your AI Models
End-to-end ML training with LoRA/QLoRA fine-tuning, dataset management, model versioning, and cloud GPU provisioning. From data prep to production deployment.
Training Capabilities
Full-stack ML training infrastructure
LoRA & QLoRA Fine-Tuning
Fine-tune large language models efficiently with Low-Rank Adaptation. Reduce training costs by 90% compared to full fine-tuning.
Dataset Management
Organize training datasets by type: person re-ID, face recognition, agent feedback (RLHF), voice prints, object detection, and text classification.
Training Job Queue
BullMQ-powered job scheduling with progress tracking. Queue multiple training jobs with priority management.
Model Versioning
Track model versions, compare performance metrics, and roll back to previous versions with full lineage tracking.
A/B Testing & Canary
Deploy model versions side by side. Canary deployments with gradual traffic shifting based on performance metrics.
Cloud GPU Provisioning
One-click DigitalOcean GPU VM provisioning for training and inference. Automatic start/stop to minimize costs.
Train custom AI models
Fine-tune models on your data. Deploy to production with A/B testing and canary releases.