Tips For Planning A Machine Learning Architecture
Search Enterprise AI, Wednesday, November 1,2023
When planning a machine learning architecture, organizations must consider factors such as performance, cost and scalability. Review necessary components and best practices.
Planning a machine learning architecture can be challenging because it requires balancing a range of priorities, including performance, cost and scalability.
Although these considerations apply to many types of architectures, ML environments often have specific needs, such as the ability to access bare-metal hardware. These special requirements add an extra layer of difficulty to ML architecture design.