Foundation Studio
Foundation Studio is E2E AI Cloud's end-to-end environment for customizing and validating AI models — without managing any infrastructure. It brings together the tools you need to go from a pre-trained base model to a production-ready, task-specific model in a single place.
Whether you're adapting a large language model to your domain, benchmarking model quality before deployment, or iterating on training configurations across multiple runs, Foundation Studio handles the compute, storage, and job orchestration so you can focus on what matters: your model and your data.
1. Fine-Tune Models lets you train any supported LLM or diffusion model on your own dataset using high-performance GPUs. Configure every aspect of training — hyperparameters, quantization, checkpointing, and experiment tracking — and access your fine-tuned model the moment training completes.
2. Model Evaluation lets you automatically score your model's outputs using an LLM-as-judge approach. Pick an evaluation framework that matches your task, connect your dataset, and get structured quality metrics across four dimensions — no manual annotation needed.