IonRouter
IonRouter is a high-throughput, low-cost inference API service that provides OpenAI-compatible endpoints for accessing optimized open-source AI models at half the market rate.
https://ionrouter.io/?ref=producthunt
Product Information
Updated:Mar 13, 2026
What is IonRouter
IonRouter is an AI inference service launched in 2026 that allows teams to access and deploy various AI models including language models, vision models, and text-to-video/image generation models. It acts as a drop-in replacement for OpenAI's API, enabling developers to use existing OpenAI clients while accessing optimized open-source models. The service is built on NVIDIA Grace Hopper architecture and uses a custom inference engine called IonAttention.
Key Features of IonRouter
IonRouter is a high-performance inference platform powered by IonAttention engine, specifically built for NVIDIA Grace Hopper architecture. It offers custom model deployment, real-time model multiplexing, and seamless API integration with pay-per-token pricing. The platform enables efficient GPU utilization through its custom inference stack that can handle multiple models simultaneously while providing fast cold starts and adaptive traffic management.
Custom IonAttention Engine: Proprietary inference stack that multiplexes models on a single GPU, enables millisecond-level model swapping, and adapts to traffic in real-time
Flexible Model Deployment: Supports deployment of custom finetunes, LoRAs, and open-source models with dedicated GPU streams and per-second billing
Drop-in API Integration: Compatible with existing OpenAI clients across any language or framework, requiring minimal code changes
Advanced GPU Optimization: Achieves higher throughput (7,167 tok/s) compared to traditional inference providers (~3,000 tok/s) on Grace Hopper architecture
Use Cases of IonRouter
Robotics Perception: High-performance processing for robot vision and sensing systems requiring real-time inference
Multi-camera Surveillance: Processing multiple video streams simultaneously for security and monitoring applications
Game Asset Generation: Real-time creation and processing of gaming assets using AI models
AI Video Pipelines: Handling complex video processing workflows with multiple vision-language models running concurrently
Pros
Superior performance with higher throughput than traditional inference providers
Cost-effective with pay-per-token pricing and no idle costs
Easy integration with existing systems through drop-in API compatibility
Cons
Limited to NVIDIA Grace Hopper architecture
Relatively new platform (launched in 2026)
How to Use IonRouter
Install IonRouter: Start by installing IonRouter via npm: 'npm i ion-router'
Set up basic router configuration: Add ion-router component to your app and define routes using ion-route elements. Example: <ion-router><ion-route url='/home' component='page-home'></ion-route></ion-router>
Add router outlet: Include an ion-router-outlet in your main app template to display the routed content: <ion-app><ion-router-outlet></ion-router-outlet></ion-app>
Define page components: Create the page components that will be displayed for each route. These should match the component names specified in your routes
Add navigation links: Use ion-router-link components to create navigation between pages: <ion-router-link href='/home'>Home</ion-router-link>
Configure route guards (optional): Add beforeEnter/beforeLeave guards to routes if needed for authentication or unsaved changes protection
Test navigation: Verify routing works by clicking links and checking that components load correctly in the router outlet
IonRouter FAQs
IonRouter is a high-throughput, low-cost inference platform powered by IonAttention technology, designed to optimize model deployment and GPU utilization.
IonRouter Video
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