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AI Infrastructure

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.