CompactifAIMultiverse Computing
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Related Products
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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.
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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.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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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
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Audience
Anyone looking for a Machine Learning toolkit for Kubernetes
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
Supported
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
No information available.
Free Version
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Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Training
Documentation
Supported
Webinars
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Live Online
Not Supported
In Person
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Company InformationMultiverse Computing
Founded: 2019
Basque Country
multiversecomputing.com/compactifai
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Company InformationKubeflow
www.kubeflow.org
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Categories |
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Integrations
APERIO DataWise
Not Supported
Amazon Web Services (AWS)
Supported
Azure Marketplace
Not Supported
Civo
Not Supported
Comet LLM
Not Supported
D2iQ
Not Supported
DagsHub
Not Supported
Flyte
Not Supported
Gemini Enterprise Agent Platform Notebooks
Not Supported
Giskard
Not Supported
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Integrations
APERIO DataWise
Supported
Amazon Web Services (AWS)
Not Supported
Azure Marketplace
Supported
Civo
Supported
Comet LLM
Supported
D2iQ
Supported
DagsHub
Supported
Flyte
Supported
Gemini Enterprise Agent Platform Notebooks
Supported
Giskard
Supported
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