How do I implement IT infrastructure for AI/ML pipelines?
Implementing IT infrastructure for AI/ML pipelines involves designing and deploying a robust, scalable, secure, and efficient environment to support data processing, model training, inference, and storage needs. Here’s a step-by-step guide tailored for your role: 1. Assess Business Requirements Understand AI/ML use cases: Identify the goals, datasets, and expected workloads (e.g., training, inference, batch processing, […]