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What is NVIDIA Personal AI Router (PAIR)?

The NVIDIA Personal AI Router (PAIR) acts as a bridge for Windows, Linux, and macOS systems, creating a personal AI inference cluster and effectively managing AI application and agent workloads via a single local endpoint. This groundbreaking device allows RTX, DGX Spark, and Mac systems already linked to the same network to operate in unison as a local AI cluster, without requiring specialized cables, racks, or intricate setup processes. PAIR adeptly detects compatible machines and distributes inference requests among the available nodes, enabling intensive AI workflows to harness unused computing power across different operating systems. It integrates smoothly with popular local inference backends, such as Ollama and LM Studio, ensuring applications have access to a consistent endpoint while intelligently directing requests to the appropriate local computational resources. Tailored specifically for private local inference, PAIR guarantees that prompts, files, and agent contexts remain securely within the user’s local network, thereby negating the need to transfer data to cloud-based inference services. Additionally, this method not only bolsters data privacy but also maximizes resource utilization across the various systems engaged in AI processes, leading to improved efficiency and performance in workload management. Ultimately, PAIR represents a significant advancement in personal AI infrastructure, allowing users to leverage their existing hardware for enhanced AI capabilities.

What is Mirai?

Mirai stands out as a sophisticated platform designed specifically for developers, focusing on on-device AI infrastructure that facilitates the conversion, optimization, and execution of machine learning models right on Apple devices, all while prioritizing performance and user privacy. With a streamlined workflow, teams can effectively convert and quantize models, evaluate their performance, distribute them, and perform local inference without any hassle. Tailored for Apple Silicon, Mirai aims to deliver near-zero latency and eliminate inference costs, ensuring that the processing of sensitive data remains entirely on the user's device for enhanced security. Its comprehensive SDK and inference engine empower developers to quickly embed AI capabilities into their applications, utilizing hardware-aware optimizations to fully harness the potential of the GPU and Neural Engine. Additionally, Mirai incorporates dynamic routing features that smartly decide on the optimal execution path for tasks, whether it be executing locally or accessing cloud resources, while considering important factors like latency, privacy, and workload requirements. This adaptability not only improves the overall user experience but also equips developers with the tools to craft more responsive and efficient applications that cater specifically to the needs of their users, ultimately driving innovation in the realm of on-device AI.

Media

Media

Integrations Supported

LM Studio
Ollama

Integrations Supported

DeepSeek R1
Gemma 3
Gemma 4
LFM-3B
Llama
Polaris
Qwen3
SmolLM2
gpt-oss-120b

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
iPhone
iPad
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

NVIDIA

Date Founded

1997

Company Location

United States

Company Website

www.nvidia.com/en-us/ai-on-rtx/personal-ai-router/

Company Facts

Organization Name

Mirai

Date Founded

2024

Company Location

United States

Company Website

trymirai.com

Categories and Features

AI Inference

Not specified

Categories and Features

AI Inference

Not specified

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