Launching today
IonRouter
Serve Any AI Model, Faster & Cheaper
294 followers
Serve Any AI Model, Faster & Cheaper
294 followers
Teams use IonRouter as a drop‑in OpenAI-compatible API to hit the best open models for LLMs, vision, video, and TTS at HALF market rate. You can run agents and multi‑modal apps, and deploy your finetunes on our fleet while we handle optimization and scaling in the background. Under the hood, IonRouter runs a custom inference engine (IonAttention) built for NVIDIA Grace Hopper, cutting price and latency for your workloads.
IonRouter
Hey y'all! @veercumulus and I are super excited to launch this product showcasing our proprietary IonAttention Engine: https://cumulus.blog/ionattention
Now serving Kimi, Minimax, GLM, Qwen 3.5, Wan, and more! Also serving your finetunes :)
@veercumulus @suryaa_rajinikanth Congrats on the launch 🚀
Infrastructure that makes running multiple models cheaper and easier is becoming increasingly important as more teams build AI products. Curious to see how developers use IonRouter in production.
Vela
Wow this would actually be so useful to us. What do you actually use to make it so much cheaper?
IonRouter
@gobhanu_korisepati Our own proprietary inference engine purpose built for the Grace NVIDIA architecture enables us to get these insane prices & blazing fast speeds.
Find out more here:
https://cumulus.blog/ionattention
@gobhanu_korisepati The cost difference is really interesting.
If you can keep latency low while routing across multiple models, that’s a pretty big advantage for teams building AI products at scale. Curious how this performs under heavy production workloads.
How does IonAttention's custom inference engine achieve half the market rate without compromising model quality or response accuracy?
IonRouter
@mordrag The token economics of our inference engine make it super viable to cut prices! We are able to multiplex models off one single GPU with <100ms of switch time. So our GPUs constantly are serving the models our customers actually want to run. We also have the most optimized engine for the cheaper Grace Hopper chips - more performance and less cost!
IonRouter
@vouchy I think we really wanted better performance and utilization. Tried forking open source solutions and monkey patching but didn't really work. So we decided to build ground up!
sitefire.ai
This looks really cool! For someone that hasn't really worked in this space, can you "explain like I'm 5" and "explain like I'm 16"?
IonRouter
@vincent_jeltsch1 Hey Vincent! We've purpose built an inference engine from scratch for the Grace NVIDIA GPUs, what this has allowed us to do is make breakthroughs in performance & speed for all inference workloads.
We've hosted the most popular models on our pool of GPUs to make available to the public for usage based tokens. Very similar service to openrouter, where you sign up and can use any model you want. You will get faster speeds than any provider on openrouter (Alibaba themselves, Together AI, fireworks, etc). And the best part is you pay half the price! Win-win in all scenarios.
Hope this helps.
Hey, congrats to your launch. I am wondering what are the main differences of IonRouter as opose to OpenRouter? Still learning about the model infrastructure, renting, deployment etc, so I hope this is not a silly question to ask!