I'd love to see how the model we serve, Qwen3.5 122B A10B, stacks up against the rest on this benchmark. AI Router Switzerland (aiRouter.ch) can sponsor free API access for about a month if that helps for adding it to the evaluation set.
Are you able to share (or point me toward) any high-level details: (key hardware, hosting stack, high-level economics, key challenges)?
I'd love to offer to buy you a coffee but I won't be in Switzerland any time soon.
At a high level, it's a mix of our own GPU capacity plus the ability to burst into external nodes when things get busy. Right now we're running a bunch of RTX PRO 6000s, which basically forces you into workstation/server boards since you need full x16 PCIe 5.0 lanes per card.
We operate a small private datacenter, which gives us some flexibility in how we deploy and scale hardware. On the software side, we're currently LiteLLM as a load balancer in front of the inference servers, though I'm in the process of replacing that with a custom rust based implementation.
We've only been online since the beginning of this month, so I can't really say much about the economics yet, but we've had some really nice feedback from early customers so far. :)
While we don't guarantee a fixed toks/s rate, we scale by provisioning external GPU nodes during peak demand. These nodes run our own dockerized environment over a secure tunnel.
Our goal is to ensure a consistent baseline performance of at least 60–80 toks/s, even under high load.