AI Technology Stack

Comprehensive guide to AI platforms, tools, and infrastructure components for building scalable AI solutions. From cloud platforms to open-source frameworks, find the right technology stack for your AI initiatives.

Cloud AI Platforms

Google Cloud AI Platform

End-to-end ML platform with AutoML, Vertex AI, and pre-trained APIs.

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Amazon SageMaker

Fully managed service to build, train, and deploy ML models at scale.

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Azure Machine Learning

Enterprise-grade ML service for the complete ML lifecycle.

Get Started
IBM Watson Studio

Integrated environment for data scientists and business analysts.

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Oracle Cloud AI

Comprehensive AI and ML services with pre-built applications.

Discover AI
Databricks

Unified analytics platform for big data and machine learning.

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ML Frameworks & Libraries

TensorFlow

Google's open-source machine learning framework for production and research.

Documentation
PyTorch

Facebook's dynamic neural network framework with strong GPU acceleration.

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Scikit-learn

Simple and efficient tools for predictive data analysis in Python.

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Keras

High-level neural networks API for fast experimentation.

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XGBoost

Optimized gradient boosting framework for structured data.

Documentation
Apache Spark MLlib

Scalable machine learning library for big data processing.

Explore MLlib
Hugging Face Transformers

State-of-the-art pre-trained models for NLP tasks.

Browse Models
OpenCV

Computer vision and image processing library.

Get Started
Apache MXNet

Flexible and efficient deep learning framework.

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MLOps & Model Deployment

MLflow

Open source platform for the complete ML lifecycle management.

Documentation
Kubeflow

Machine learning toolkit for Kubernetes deployment.

Get Started
Docker

Containerization platform for consistent ML model deployment.

Learn Docker
Apache Airflow

Workflow orchestration platform for ML pipelines.

View Docs
Weights & Biases

ML experiment tracking, hyperparameter tuning, and collaboration.

Try Wandb
DVC (Data Version Control)

Git for data and ML models with pipeline versioning.

Get Started
Seldon Core

ML model deployment and management on Kubernetes.

Documentation
BentoML

Framework for serving ML models in production.

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Neptune.ai

ML experiment management and model registry platform.

Try Neptune

Data Processing & Analytics

Apache Spark

Unified analytics engine for large-scale data processing.

Get Started
Apache Kafka

Distributed streaming platform for real-time data pipelines.

Documentation
Elasticsearch

Distributed search and analytics engine for all types of data.

Explore Elastic
Apache Hadoop

Framework for distributed storage and processing of big data.

Learn Hadoop
ClickHouse

Fast open-source column-oriented database for analytics.

Get Started
Apache Flink

Stream processing framework for real-time analytics.

Documentation

Infrastructure & Computing

NVIDIA CUDA

Parallel computing platform for GPU-accelerated applications.

Learn CUDA
Kubernetes

Container orchestration for scalable AI application deployment.

Get Started
Apache Mesos

Distributed systems kernel for resource management.

Documentation
Ray

Distributed computing framework for ML and AI applications.

Try Ray
Apache OpenWhisk

Serverless computing platform for event-driven AI functions.

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Dask

Parallel computing library that scales Python analytics.

Get Started

Development & Collaboration Tools

Jupyter Notebooks

Interactive computing environment for data science and AI development.

Try Jupyter
Google Colab

Free cloud-based Jupyter notebook environment with GPU support.

Open Colab
GitHub Codespaces

Cloud development environments for AI and ML projects.

Learn More
Apache Zeppelin

Web-based notebook for data analytics and visualization.

Get Started
Streamlit

Framework for building and sharing ML web applications.

Build Apps
Gradio

Build and share ML model interfaces quickly.

Try Gradio

Platform Comparison & Selection Guides

Cloud AI Platform Comparison

Comprehensive comparison of AWS, GCP, Azure, and IBM AI services.

Gartner Research - 2024
View Report
ML Framework Benchmarks

Performance comparison of TensorFlow, PyTorch, and other frameworks.

Papers with Code - 2024
View Benchmarks
MLOps Tools Comparison

Evaluation matrix for MLOps platforms and deployment tools.

ML Engineering Guide - 2024
Compare Tools
Data Platform Architecture

Reference architectures for modern data and AI platforms.

Enterprise Architecture - 2024
View Architectures

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