Use Cases

Real-world applications

Continuous AI Application Development

Building and managing machine learning applications that require automated data preparation, model training, deployment, and monitoring.

Real-Time Model Inference

Deploying scalable real-time inference services using serverless functions integrated with Kubernetes or Docker.

Generative AI Tasks

Handling retrieval-augmented generation, large language model evaluation, and fine-tuning within AI workflows.