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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.

About

NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, enthusiasts, and power users seeking to distribute private local AI inference across multiple compatible computers through a single endpoint

Audience

Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1997
United States
www.nvidia.com/en-us/ai-on-rtx/personal-ai-router/

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/tensorrt

Alternatives

Alternatives

OpenVINO

OpenVINO

Intel
Macyou

Macyou

Macyou LLC
Pioneer

Pioneer

Pioneer.ai

Categories

Categories

Integrations

Dataoorts GPU Cloud
Kimi K2.5
Kimi K2.6
Kimi K2.7 Code
Kimi K3
LaunchX
MATLAB
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DRIVE
NVIDIA Jetson
NVIDIA Merlin
NVIDIA NIM
Ollama
PyTorch
Python
RankGPT
TensorFlow
Thunder Compute
Ultralytics

Integrations

Dataoorts GPU Cloud
Kimi K2.5
Kimi K2.6
Kimi K2.7 Code
Kimi K3
LaunchX
MATLAB
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DRIVE
NVIDIA Jetson
NVIDIA Merlin
NVIDIA NIM
Ollama
PyTorch
Python
RankGPT
TensorFlow
Thunder Compute
Ultralytics
Claim NVIDIA Personal AI Router (PAIR) and update features and information
Claim NVIDIA Personal AI Router (PAIR) and update features and information
Claim NVIDIA TensorRT and update features and information
Claim NVIDIA TensorRT and update features and information