Building AI betteer and faster at scale
Helping to build AI Infrastructure at scale
As AI moves beyond experimentation toward adoption, it will demand significant computing resources and infrastructure costs. Therefore, the biggest question for organizations is: what infrastructure allows for the continual use, development, and implementation of Artificial Intelligence without sacrificing performance?
5 Key Components of AI Infrastructure
An efficient AI infrastructure gives ML engineers and data scientists the resources required to create, deploy, and maintain their models. Here are the primary components of a typical AI technology stack:
Data Storage and Management
Compute Resources
Data Processing Frameworks
Machine Learning Frameworks
MLOps Platforms
We at On Demand Systems help customers build end-to-end platform.