FastAPI

What combination of technologies is best to use with FastAPI for an AI/ML API?

The question is about FastAPI .

Answer:

For an AI/ML API, use FastAPI with Python, Pydantic, PostgreSQL, Redis cache, Celery or RQ for background tasks, Docker, React/Next.js frontend, and host on GCP Cloud Run or AWS ECS. Add PyTorch, TensorFlow, or vector search tools only as you need them.

Find your perfect FastAPI tech match

Dennis is a Senior Fullstack Developer with a strong focus on building robust applications using JavaScript and TypeScript. With seven years of experience, he has specialized in frameworks like React.js and Node.js, and has s... Read More

Level
Senior
Availability
<20 h/w
Experience
7 yrs.
English
C2

Gustavo is a Software Engineer focused on frontend solutions, with 6 years of commercial experience specializing in JavaScript, TypeScript, and frameworks like React.js and Node.js. He has a solid background in building respo... Read More

Level
Senior
Availability
40 h/w
Experience
6 yrs.
English
B2

David is a Senior Python, Django & FastAPI Developer with 8 years of backend experience. He specializes in building robust RESTful APIs and has extensive knowledge of frameworks such as Django and FastAPI, complemented by a s... Read More

Level
Senior
Availability
40 h/w
Experience
8 yrs.
English
B1
Victoriia S.

Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More

Level
Senior
Availability
20 - 30 h/w
Experience
10 yrs.
English
C1
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