Related Products
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About
NVIDIA Personal AI Router (PAIR) is a tool that connects compatible Windows, Linux, and macOS systems into a personal AI inference cluster and routes AI app and agent workloads through a single local endpoint. It brings together RTX, DGX Spark, and Mac systems already on the same network, helping them work as one local AI cluster without special cables, racks, or complex cluster setup. PAIR discovers compatible machines and distributes inference requests across available nodes, allowing busy AI workflows to tap into idle compute regardless of the node’s operating system. It works alongside familiar local inference backends, with support for Ollama and LM Studio, giving applications a consistent endpoint while intelligently proxying requests to available local compute. PAIR is built for private local inference, so prompts, files, and agent context stay on the user’s local network instead of being sent to a cloud inference service.
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About
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably.
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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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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, enthusiasts, and power users seeking to distribute private local AI inference across multiple compatible computers through a single endpoint
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Audience
Machine learning teams and enterprises seeking a unified, cost-efficient orchestration layer to manage GPU-based development, training, and inference across cloud, Kubernetes, and on-prem environments
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not 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
Not Supported
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Pricing
No information available.
Free Version
Not 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
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationNVIDIA
Founded: 1997
United States
www.nvidia.com/en-us/ai-on-rtx/personal-ai-router/
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Company Informationdstack
Founded: 2022
Germany
dstack.ai/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Not Supported
Google Cloud Platform
Not Supported
LM Studio
Supported
Microsoft Azure
Not Supported
Ollama
Supported
Python
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
Google Cloud Platform
Supported
LM Studio
Not Supported
Microsoft Azure
Supported
Ollama
Not Supported
Python
Supported
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