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AstraAI - Whitepaper
  • 📢AstraAI executive summary
  • 📒Key Definitions
  • 🤖Introduction to Artificial intelligence
    • The Emergence of AI
    • What is Artificial Intelligence?
    • Key Technologies Behind AI
    • The Impact of AI: Transforming Industries and Societies
    • AstraAI's Role in the Evolution of AI Accessibility
  • 🌐>>THE HUB<< The AstraAI ecosystem
    • The Users
    • _THE FACTORY
    • _THE MARKETPLACE
    • _THE LAUNCHER
    • _THE COLLAB
  • 🪙The ASTRA token
    • Utility
    • Tokenomics
  • ⚒️Technology Stack
  • 🔗Important links
  • 💥Recap
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Technology Stack

AstraAI leverages a combination of cutting-edge technologies to deliver its services efficiently and securely:

  • Deep Learning Frameworks: AstraAI supports state-of-the-art deep learning frameworks such as TensorFlow, PyTorch, or Keras to develop and deploy pre-trained models. These frameworks provide robust tools for model training, inference, and optimization, enabling AstraAI to offer high-quality AI solutions to its users.

  • Decentralized Storage: To store pre-trained models and associated data securely, AstraAI employs decentralized storage solutions. This ensures data integrity, resilience against censorship, and efficient distribution of model artifacts across the network.

  • Decentralized Compute Power: AstraAI leverages a network of distributed physical infrastructure nodes. This framework not only enhances the robustness and redundancy of the system but also ensures a more resilient and efficient distribution of computational tasks across the globe.

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Last updated 5 months ago

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