AI startups rely on high-performance computing, machine learning frameworks, and cloud services to build intelligent applications. The best AI tech stack includes:
Programming Language → Python, Julia, or R for AI model development.
AI Frameworks → TensorFlow, PyTorch, or Scikit-learn for deep learning.
Databases → PostgreSQL, MongoDB, or BigQuery for data storage.
Cloud & Deployment → AWS SageMaker, Google AI Platform, or Azure AI.
AI startups must balance data processing power, scalability, and cost-effectiveness, making serverless computing and Kubernetes essential choices.
Key Takeaways:
Python + TensorFlow/PyTorch dominate AI development.
Cloud AI platforms enable scalable model training.
Efficient data storage with NoSQL or relational databases.
Dejan Velimirovic
Full-Stack Software Developer
Previously at
Stefan Mićić
Machine Learning Developer and Data Engineer
Milena Brankovic
Fullstack Developer
Previously at
Aleksa Stevic
Full-Stack Developer
Previously at
Aleksandar Pavlović
Data Scientist
Nemanja Milićević
Data Scientist
Darko Simic
Fullstack Developer
Previously at
Marko Tadic
iOS Developer
Previously at
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