⚙️Technical Architecture
Core Infrastructure AxiomAI is built on a microservices architecture that enables modular development, ensuring high availability, fault tolerance, and scalability. Each microservice operates independently, reducing the risk of systemic failures.
Data Handling and Storage The platform employs distributed data storage solutions to manage large datasets efficiently. It supports multiple database types, including relational, NoSQL, and graph databases, for enhanced flexibility.
Model Deployment AxiomAI supports containerized deployment using technologies like Docker and Kubernetes, enabling seamless scalability and efficient resource utilization.
API and SDK Layers A rich set of APIs and SDKs ensures compatibility with third-party tools, allowing users to extend functionality and integrate AxiomAI into existing ecosystems.
AI Engine The proprietary AI engine supports advanced learning techniques, including transfer learning and federated learning, ensuring that models can be trained efficiently while preserving data privacy.
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