Nvidia Pair seems nice for people with multiple inference servers

Reddit r/LocalLLaMA Tools

Summary

NVIDIA PAIR is a beta tool that enables users to form a personal AI inference cluster by connecting local devices like DGX Spark, RTX systems, and Macs for efficient, private workflow routing.

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Cached at: 09/03/26, 06:17 PM

# NVIDIA PAIR — Your Personal AI Cluster Source: [https://www.nvidia.com/en-us/ai-on-rtx/personal-ai-router/](https://www.nvidia.com/en-us/ai-on-rtx/personal-ai-router/) ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=) The NVIDIA PAIR beta connects AI app and agent workflows to a single local endpoint for routing inference across[NVIDIA DGX Spark™](https://www.nvidia.com/en-us/products/workstations/dgx-spark/), Windows systems with RTX™, and macOS devices\. This helps you maximize local compute while keeping prompts, files, and agent context private\. ## What Can NVIDIA PAIR Can Do? ### Personal AI ClusterPower Up the House Bring together the RTX, DGX™, and Mac systems already on your network in minutes\. NVIDIA PAIR discovers compatible local machines and helps them work as one personal AI inference cluster with no special cables, racks, or complex cluster setup required\. ### Agent Workload RoutingMore Room to Think Keep local AI workflows moving when tasks stack up\. NVIDIA PAIR routes AI inference requests across available local nodes, helping busy AI workflows tap into idle compute regardless of the node’s operating system\. ### Ollama and LM Studio SupportUse the Tools You Know Run NVIDIA PAIR alongside familiar local inference backends on Windows, Linux, and macOS\. At launch, NVIDIA PAIR supports Ollama and LM Studio, giving apps a consistent, single endpoint while intelligently proxying requests to available local compute\. ### Private Local InferenceKeep It Close to Home Run AI workflows at home with data that stays on your network\. NVIDIA PAIR is built for private local inference, helping you use prompts, files, and agent context without sending them to the cloud\. ## How to Get Started with NVIDIA PAIR NVIDIA PAIR works without special cables or racks\. And setting up is easy\. ### Add your devices to the cluster\. ### Run your AI apps and agents\. ## Download NVIDIA PAIR ## Information Windows 11, DGX OS, Ubuntu 14\.04, macOS Tahoe ## System Requirements All GeForce RTX GPUs \(20 Series and newer\), DGX Spark/GB10,Mac M4 or newer Recommended: 20 GB or higher None required for operation Required for model download ## Frequently Asked Questions About PAIR ## PAIR Support Resources ## PAIR Support Resources ### Download NVIDIA Personal AI Router \(PAIR\)

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