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

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow. Kubeflow provides a custom TensorFlow training job operator that you can use to train your ML model. In particular, Kubeflow's job operator can handle distributed TensorFlow training jobs. Configure the training controller to use CPUs or GPUs and to suit various cluster sizes. Kubeflow includes services to create and manage interactive Jupyter notebooks. You can customize your notebook deployment and your compute resources to suit your data science needs. Experiment with your workflows locally, then deploy them to a cloud when you're ready.

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

Anyone looking for a Machine Learning toolkit for Kubernetes

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

No information available.
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

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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

Kubeflow
www.kubeflow.org

Alternatives

Alternatives

Vertex AI

Vertex AI

Google
Union Cloud

Union Cloud

Union.ai

Categories

Categories

Integrations

APERIO DataWise
Amazon Web Services (AWS)
Azure Marketplace
Camunda
Civo
Comet LLM
D2iQ
DagsHub
Flyte
Giskard
KServe
Kedro
Kubernetes
Llama
Mistral AI
PredictKube
Superwise
Unremot
Vertex AI Notebooks
ZenML

Integrations

APERIO DataWise
Amazon Web Services (AWS)
Azure Marketplace
Camunda
Civo
Comet LLM
D2iQ
DagsHub
Flyte
Giskard
KServe
Kedro
Kubernetes
Llama
Mistral AI
PredictKube
Superwise
Unremot
Vertex AI Notebooks
ZenML
Claim CompactifAI and update features and information
Claim CompactifAI and update features and information
Claim Kubeflow and update features and information
Claim Kubeflow and update features and information