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Best Floyd Alternatives ranked by AI · updated May 2025

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Floyd is a platform for building and training deep learning models in the cloud.

Price: Starting at $0.432/hour 🎯 floydhub.com

Top 6 Floyd alternatives

Google Colab is a free Jupyter notebook environment that runs on Google Cloud infrastructure. It offers free GPU support and easy collaboration...

Pros

  • Free GPU support
  • Seamless integration with Google Drive
  • Easy sharing and collaboration

Cons

  • Limited to Google Cloud infrastructure
  • Limited access to system resources
4 Sacred logo

Sacred

IDSIA

Sacred is an open-source Python framework for configuring, running, and recording computational experiments, especially in machine learning research. It provides observers, ingredient-based...

Pros

  • Lightweight Python-first experiment configuration and tracking
  • Supports reproducibility through captured source code, configuration, and host information
  • Can log to MongoDB, files, and other observers without a mandatory cloud account

Cons

  • Less polished experiment dashboarding than MLflow or Weights & Biases
  • Smaller ecosystem and community than newer ML platforms
  • Requires more manual setup for team collaboration and artifact management
5 Modulos logo

Modulos

Modulos

Modulos is an MLOps platform for data science and engineering teams to develop, deploy, and manage machine-learning models. It focuses on repeatable...

Pros

  • Covers more of the model lifecycle than experiment-tracking-only tools
  • Targets repeatable production deployment for engineering teams
  • More focused on operational ML workflows than notebook-centric platforms

Cons

  • Smaller ecosystem and community than MLflow or Kubeflow
  • Less transparent pricing than self-hosted open-source alternatives
  • Fewer integrations and learning resources than major cloud ML platforms

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