CompactifAI

CompactifAI

Multiverse Computing
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About

CompactifAI from Multiverse Computing is an AI model compression platform designed to make advanced AI systems like large language models (LLMs) faster, cheaper, more energy efficient, and portable by drastically reducing model size without significantly sacrificing performance. Using advanced quantum-inspired techniques such as tensor networks to “compress” foundational AI models, CompactifAI cuts memory and storage requirements so models can run with lower computational overhead and be deployed anywhere, from cloud and on-premises to edge and mobile devices, via a managed API or private deployment. It accelerates inference, lowers energy and hardware costs, supports privacy-preserving local execution, and enables specialized, efficient AI models tailored to specific tasks, helping teams overcome hardware limits and sustainability challenges associated with traditional AI deployments.

About

Flower is an open source federated learning framework designed to simplify the development and deployment of machine learning models across decentralized data sources. It enables training on data located on devices or servers without transferring the data itself, thereby enhancing privacy and reducing bandwidth usage. Flower supports a wide range of machine learning frameworks, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and is compatible with various platforms and cloud services like AWS, GCP, and Azure. It offers flexibility through customizable strategies and supports both horizontal and vertical federated learning scenarios. Flower's architecture allows for scalable experiments, with the capability to handle workloads involving tens of millions of clients. It also provides built-in support for privacy-preserving techniques like differential privacy and secure aggregation.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, machine learning engineers, and organizations that need to deploy large language models (LLMs) and other AI systems more efficiently, cost-effectively, and sustainably

Audience

Machine learning practitioners and researchers in search of a tool to implement privacy-preserving, decentralized model training across diverse devices and platforms

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Multiverse Computing
Founded: 2019
Basque Country
multiversecomputing.com/compactifai

Company Information

Flower
Founded: 2023
Germany
flower.ai/

Alternatives

Alternatives

Keepsake

Keepsake

Replicate

Categories

Categories

Integrations

Amazon Web Services (AWS)
Android
Apple iOS
Google Cloud Platform
Hugging Face
JAX
Keras
Llama
MXNet
Microsoft Azure
Mistral AI
Modern Leadership (MLX)
NVIDIA Jetson
NumPy
PyTorch
Python
Raspberry Pi OS
TensorFlow
pandas
scikit-learn

Integrations

Amazon Web Services (AWS)
Android
Apple iOS
Google Cloud Platform
Hugging Face
JAX
Keras
Llama
MXNet
Microsoft Azure
Mistral AI
Modern Leadership (MLX)
NVIDIA Jetson
NumPy
PyTorch
Python
Raspberry Pi OS
TensorFlow
pandas
scikit-learn
Claim CompactifAI and update features and information
Claim CompactifAI and update features and information
Claim Flower and update features and information
Claim Flower and update features and information