Contact us
Introduction to CompactifAI by Multiverse Computing with Anzaetek

Compactifai

AI Model Compressor

Speed of light, precision foundation model
Compress AI models to enjoy the benefits of efficient and portable models.
Significantly reduce memory and disk space requirements, making AI projects much more affordable.

Advantages of Using CompactifAI

  • Cost Reduction

    Reduce energy costs
    and hardware expenses.

  • Privacy Protection

    Secure your data with localized AI models
    that do not rely on cloud-based systems.

  • Speed Enhancement

    Overcome hardware limitations and
    accelerate AI-based projects.

  • Sustainability

    Reduce energy consumption and contribute
    to a greener planet.

Why CompactifAI?

Modern AI models are facing serious inefficiencies, with the number of parameters growing exponentially while accuracy improves only linearly.
This imbalance leads to the following issues:

  • Exponential Increase in Computing Power Usage

    The required computational resources are increasing at an unsustainable rate.

  • Exponential Rise in Energy Costs

    Increased energy consumption not only impacts costs but also raises environmental concerns.

  • Limited Supply of High-End Chips

    The shortage of advanced chips restricts innovation and business growth.

Solutions

  • Revolutionizing AI Efficiency and Portability: CompactifAI

    CompactifAI leverages advanced tensor networks to compress foundational AI models, including large language models (LLMs).
    This innovative approach provides several key benefits:

  • Enhanced Efficiency

    Dramatically reduces the computational power required for AI operations.

  • Specialized AI Models

    Enables the development and deployment of smaller, specialized AI models locally, ensuring efficient and task-specific solutions.

  • Privacy Protection & Governance Compliance

    Supports the ethical, legal, and secure use of AI technology by fostering a private and safe environment.

  • Portability

    Compress models to enable deployment on any device.

Key Features

  • Size Reduction

  • Reduction in Parameter Count

  • Faster Inference

  • Faster Retraining

Latest Benchmarks vs. Llama 2-7B

CompactifAI revolutionizes AI model efficiency and portability, providing numerous benefits such as cost savings, privacy protection, speed improvements, and sustainability.
This allows AI projects to be executed more affordably and effectively.
Metric Value
Model Size Reduction +93%
Parameter Reduction +70%
Accuracy Loss Less than 2%-3%
Inference Time Reduction 88% -> 24%-26% | 93% -> 24%-26%
Methodology: Tensorization + Quantization