From Concept to API: Deploying Your JAX Model
Bridge the gap between building a model in JAXforge and using it in a real-world application. This guide demystifies deployment.
The Deployment Challenge
You've generated the code, tweaked the hyperparameters, and understand the architecture. Now what? Getting a trained model from your development environment to a production-ready, scalable API can be a complex process involving infrastructure provisioning, dependency management, and performance monitoring.
JAXforge's Simplified Workflow
Our platform is designed to make this last step as seamless as the first. We handle the heavy lifting so you can focus on what matters: your model's logic.
Once your model is trained, deploy it directly from your workspace. We automatically containerize your model, handle dependencies, and provision the necessary compute resources.
Your deployed model is exposed via a secure, high-performance REST API. We manage autoscaling to handle traffic spikes, ensuring your application remains responsive and available.
The Path to Production
1. Build & Train: Use the JAXforge UI to generate and refine your model architecture.
2. Save & Version: Store your model configurations and training artifacts securely in your workspace.
3. Deploy: With a single click, push your trained model to our managed inference service.
4. Integrate: Use the provided API key to call your model from any application, website, or service.