+
+

Related Products

  • Compute with Hivenet
    4 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Runpod
    230 Ratings
    Visit Website
  • IONOS Cloud GPU Servers
    45,340 Ratings
    Visit Website
  • Chainstack
    34 Ratings
    Visit Website
  • Admin By Request Endpoint Privilege Management
    107 Ratings
    Visit Website
  • IPVanish
    223 Ratings
    Visit Website
  • AlsoThere
    1 Rating
    Visit Website
  • Securden Endpoint Privilege Manager
    7 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website

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

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.

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

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

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 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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

dstack
Founded: 2022
Germany
dstack.ai/

Alternatives

Alternatives

Macyou

Macyou

Macyou LLC

Categories

Categories

AI Control Planes Supported
AI Development Supported

Integrations

Amazon Web Services (AWS) Not Supported
Google Cloud Platform Not Supported
LM Studio Supported
Microsoft Azure Not Supported
Ollama Supported
Python Not Supported

Integrations

Amazon Web Services (AWS) Supported
Google Cloud Platform Supported
LM Studio Not Supported
Microsoft Azure Supported
Ollama Not Supported
Python Supported
Claim NVIDIA Personal AI Router (PAIR) and update features and information
Claim NVIDIA Personal AI Router (PAIR) and update features and information
Claim dstack and update features and information
Claim dstack and update features and information