AI/ML Platforms

A list of platforms and services related to AI/ML Platforms.

NoNameDescriptionTrendPricingFeaturesOfficial Site
1OpenAIAI platform providing large language models like GPT, DALL-E, and Whisper. Enables integration of cutting-edge AI capabilities into applications via API.Explosive growth as leader in generative AI field. ChatGPT success dramatically expanded AI-integrated application development. Enterprise services also strengthened.Pay-per-useGPT models, Image generation, Speech-to-text...Official
2Hugging FaceHub for open-source machine learning models. Platform sharing tens of thousands of models, datasets, and demos, promoting democratization of AI development.Central presence in AI research and open-source community. Significantly contributes to machine learning proliferation and development through Transformers library and model hub.Free tier availableModel hub, Transformers library, Datasets...Official
3Google AI PlatformGoogle Cloud's machine learning platform. Centralizes machine learning model development, training, and deployment by integrating Vertex AI, AutoML, and TensorFlow.Comprehensive ML platform leveraging Google's AI technology. Enterprise adoption expanding due to advanced features especially in natural language processing and image recognition.Pay-as-you-useVertex AI, AutoML, TensorFlow...Official
4AWS SageMakerAWS machine learning platform. Comprehensive service suite covering entire ML lifecycle from data preparation to model development, training, and deployment.Plays important role in enterprise MLOps adoption. Builds seamless machine learning environment with existing cloud infrastructure through AWS ecosystem integration.Pay-as-you-useEnd-to-end ML, Studio IDE, AutoPilot...Official
5Azure Machine LearningMicrosoft's cloud machine learning service. Provides environment optimized for .NET and Python developers through Visual Studio Code integration, MLOps, and automated ML features.Primarily used within Microsoft ecosystem. Provides familiar toolchain especially for machine learning adoption in existing .NET development teams in enterprises.Pay-as-you-useVisual Studio integration, AutoML, MLOps...Official
6ReplicatePlatform for easily running machine learning models in the cloud. Simplifies API-fication of open-source models and custom model deployment.Growing as platform contributing to machine learning democratization. Expanding use in prototyping as latest AI models can be used without complex infrastructure management.Pay-per-predictionModel hosting, API endpoints, Open-source models...Official