High throughput, low cost inference. Powered by IonAttention.
Teams use IonRouter as an OpenAI-compatible API to access the best open-source models (LLM, vision, video, TTS) at half the market price. You can run agents and multimodal applications, and deploy your fine-tuned models on our infrastructure while we optimize and scale in the background. IonRouter is built on a custom inference engine (IonAttention), designed for NVIDIA Grace Hopper GPUs, reducing cost and latency. IonRouter offers high throughput, low cost inference, powered by IonAttention. Our custom inference stack multiplexes models on a single GPU, with ms-level swaps and real-time traffic adaptation. It's built from the ground up for Grace Hopper. Teams deploy their fine-tuned models, custom LoRAs, or any open-source model on our fleet. Dedicated GPU streams with no cold starts and per-second billing are available. IonRouter is used for high-performance robotics perception, multi-camera surveillance, game asset generation, and AI video pipelines. It enables running 5 VLMs on a single GPU, handling 2,700 video clips and concurrent users with sub-1s cold starts. Integration is straightforward, with a single line change to point your existing OpenAI client to IonRouter.
For robotics engineers, IonRouter enables real-time VLM perception by allowing deployment of custom models on dedicated GPU streams. This facilitates multi-stream video analysis for enhanced robot autonomy, such as a robot identifying and interacting with objects in a dynamic environment with sub-second latency.
For indie game developers, IonRouter facilitates on-demand asset generation for game development pipelines. This allows for rapid creation of game assets like textures or character concepts using AI models, reducing development time and cost, such as generating 10 unique environment textures in under a minute.
For AI researchers, IonRouter provides a platform to deploy and test fine-tuned or custom open-source models without managing infrastructure. This enables faster iteration on research prototypes, for example, deploying a new multimodal model and achieving 7,167 tok/s throughput on a single GH200 GPU for performance benchmarking.
For video production teams, IonRouter enables efficient AI video generation from text and images, integrating seamlessly with existing workflows. This allows for faster creation of marketing or explainer videos, such as generating multiple short video clips from text prompts with minimal cold start times.
For solopreneurs, IonRouter allows the creation of multimodal AI applications with an OpenAI-compatible API, reducing development complexity and cost. This enables building applications that process both text and images, like a personalized content summarization tool that analyzes user-provided articles and images.
IonRouter offers usage-based API pricing, charging per million tokens. They state their pricing can be roughly half of typical market rates due to their custom inference engine and GPU optimization. Specific pricing tiers and detailed costs are available on their website.
IonRouter does not appear to offer a free tier based on the provided information. Their pricing model is usage-based, meaning you pay for what you use, with no idle costs.
Alternatives to IonRouter depend on specific needs, but platforms like Anyscale, Together AI, and Replicate offer managed inference for various AI models. These services also focus on providing cost-effective and scalable solutions for deploying AI.
Information regarding IonRouter's specific security measures and GDPR compliance is not detailed in the provided search results. Users should consult IonRouter's official documentation or contact them directly for detailed information on data privacy and security protocols.
IonRouter is primarily accessed through an API, making it available across any platform that can make API calls, including web applications. There is no mention of dedicated mobile or desktop applications.
IonRouter does not require installation as it is a cloud-based service accessed via an API. You can integrate it into your applications by pointing your existing OpenAI client to their API endpoint with a simple configuration change.
IonRouter supports a wide range of models including LLMs, vision, video, and text-to-speech (TTS) workloads. They offer access to popular open-source models like Qwen3.5, Kimi, Minimax, and GLM, as well as the ability to deploy custom fine-tuned models.
We're still verifying the official pricing for IonRouter. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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