Dedicated training clusters
Access your cluster and submit custom training jobs.
Researchers · Advanced R&D teams
Develop custom training tasks and submit them through a dedicated cluster access point for execution.
Give your models your business expertise
From agent-assisted fine-tuning to custom training, turn your business data into capabilities built for your use case.
Managed training platform
Configure your training. Let the platform run it.
Machine learning engineers
Configure training parameters and submit your task. The platform handles execution and delivers the training results.
Agent-assisted fine-tuning
Describe your task. Generate code and deploy training.
Product teams · App developers
Describe your fine-tuning needs in a conversation. An agent generates and deploys the training code to produce your model.
From training to deployment, connected
Prepare data, fine-tune, evaluate, and deploy your models in one workspace.
Model fine-tuning
Adapt foundation models with your business data. Choose LoRA, SFT, or RLHF / DPO to build models that understand your domain.
- Tuning strategies
- Dataset management
- Checkpoint recovery
- Version comparison
Model evaluation
Automatically evaluate accuracy, fluency, relevance, and safety. Compare improvements against the foundation model and generate evaluation reports.
- Multiple metrics
- Baseline comparison
- Report export
- A/B evaluation
Model deployment
Turn trained models into online services with standard APIs, elastic scaling, and live monitoring, ready for your business applications.
- Standard APIs
- Low-latency inference
- Elastic scaling
- Usage monitoring
