Infrastructure refers to the services, resources and tool that Azure provides to help build, train, deploy and manage machine learning models. From data ingestion and storage to model training, deployment, and monitoring, Azure offers a fully managed environment that accelerates the journey from idea to production.
Key Components of Azure AI/ML Infrastructure
Azure Machine Learning Services
This offers a integrated environment where one can-
Train model
Experiment with different algorithms
Manage the entire machine learning workflow
2. Azure Databricks
This provides optimized collaborative workspace for big data analytics and machine learning.
As Databricks is built on Apache Spark, which makes is very efficient to process large dataset.
It combines natural language processing with vast data lakes, which allows fast and direct access to needed data and features to analyze that data.
3. Data Storage and Management
Robust data storage is critical for machine learning workflows, and Azure provides…
