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
NVIDIA Triton™ inference server delivers fast and scalable AI in production. Open-source inference serving software, Triton inference server streamlines AI inference by enabling teams deploy trained AI models from any framework (TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, custom and more on any GPU- or CPU-based infrastructure (cloud, data center, or edge). Triton runs models concurrently on GPUs to maximize throughput and utilization, supports x86 and ARM CPU-based inferencing, and offers features like dynamic batching, model analyzer, model ensemble, and audio streaming. Triton helps developers deliver high-performance inference aTriton integrates with Kubernetes for orchestration and scaling, exports Prometheus metrics for monitoring, supports live model updates, and can be used in all major public cloud machine learning (ML) and managed Kubernetes platforms. Triton helps standardize model deployment in production.
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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
Supported
Mac
Supported
Linux
Supported
Cloud
Not 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
Developers and companies searching for an inference server solution to improve AI production
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Company InformationMultiverse Computing
Founded: 2019
Basque Country
multiversecomputing.com/compactifai
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Company InformationNVIDIA
United States
developer.nvidia.com/nvidia-triton-inference-server
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Categories |
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Integrations
Alibaba CloudAP
Not Supported
Amazon EKS
Not Supported
Amazon Elastic Container Service (Amazon ECS)
Not Supported
Amazon SageMaker
Not Supported
Amazon Web Services (AWS)
Supported
Azure Machine Learning
Not Supported
FauxPilot
Not Supported
Gemini Enterprise Agent Platform
Not Supported
Google Kubernetes Engine (GKE)
Not Supported
HPE Ezmeral
Not Supported
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Integrations
Alibaba CloudAP
Supported
Amazon EKS
Supported
Amazon Elastic Container Service (Amazon ECS)
Supported
Amazon SageMaker
Supported
Amazon Web Services (AWS)
Not Supported
Azure Machine Learning
Supported
FauxPilot
Supported
Gemini Enterprise Agent Platform
Supported
Google Kubernetes Engine (GKE)
Supported
HPE Ezmeral
Supported
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