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.
Reading through the IonAttention architecture and how IonRouter multiplexes models on a single GPU, something stood out.
It feels less like a simple model gateway and more like an inference orchestration layer.
Especially when the system dynamically routes workloads and manages GPU utilization across multiple models.
Curious how you think about this internally.
Is IonRouter evolving mainly as a model access API, or closer to infrastructure for orchestrating inference workloads?
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!
OpenAI-compatible routing plus lower latency/cost is super compelling for multi‑modal apps. Shared with our dev team.
Hey Suryaa, congrats on the launch! Curious what sparked building your own attention engine. Was there a specific limitation you kept hitting with existing inference setups that made you think okay, we need to build this from scratch ourselves?
How does IonAttention's custom inference engine achieve half the market rate without compromising model quality or response accuracy?
Wow this would actually be so useful to us. What do you actually use to make it so much cheaper?
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"?
About IonRouter on Product Hunt
“Serve Any AI Model, Faster & Cheaper”
IonRouter launched on Product Hunt on March 11th, 2026 and earned 142 upvotes and 18 comments, placing #8 on the daily leaderboard. 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 was featured in Developer Tools (511k followers), Artificial Intelligence (466.1k followers) and Tech (621.5k followers) on Product Hunt. Together, these topics include over 313.5k products, making this a competitive space to launch in.
Who hunted IonRouter ?
IonRouter was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how IonRouter stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Garry Tan
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 :)