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.
Stefan Mićić
Machine Learning Developer and Data Engineer
Aleksandar Pavlović
Data Scientist
Nemanja Milićević
Data Scientist
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