Building a Machine Learning Microservice with FastAPI – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-01T21:14:57Z http://www.open-lab.net/blog/feed/ Kurtis Pykes <![CDATA[Building a Machine Learning Microservice with FastAPI]]> http://www.open-lab.net/blog/?p=51577 2022-09-23T05:33:52Z 2022-08-18T16:00:00Z Deploying an application using a microservice architecture has several advantages: easier main system integration, simpler testing, and reusable code...]]> Deploying an application using a microservice architecture has several advantages: easier main system integration, simpler testing, and reusable code...

Deploying an application using a microservice architecture has several advantages: easier main system integration, simpler testing, and reusable code components. FastAPI has recently become one of the most popular web frameworks used to develop microservices in Python. FastAPI is much faster than Flask (a commonly used web framework in Python) because it is built over an Asynchronous Server��

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