Show HN: sllm – Split a GPU node with other developers, unlimited tokens

Thanks to everyone who shared feedback. We’re implementing it now.

Here’s what’s changed:

- We’ve removed the other LLMs for now and are focusing entirely on Qwen 3.5. We’ll bring back additional smaller models later, but most usage was already concentrated on Qwen 3.5.

- Pricing is now around $50. You get roughly 2× the throughput (61 tok/s vs. 31 tok/s, verified in testing), and it’s still unlimited. For context, that’s about 158M tokens per month. Comparable providers like Novita charge around $3.2 per million tokens, so this comes out to roughly 10% of typical token costs.

- Context size is now capped at 32K tokens. For the vast majority of use cases, this is more than sufficient.

You're right that we're less flexible than OpenRouter or Chutes. We don't let you hop between models per-request. If you want that, use those. If you want predictable cost and guaranteed throughput on one model, that's us.

On TEE: yeah, it's stronger, but it also adds cost and latency. We run dedicated hardware with no prompt logging and an isolated proxy. For most people who just don't want their data in someone's training set, that's enough. If your threat model is more serious than that, we're not the right choice.

On models: we are focusing on Qwen for now. We add based on demand. Would you actually use MiMo-V2-Pro or Trinity if we had them?

See https://news.ycombinator.com/item?id=47670843

The audience here is developers buying API access. They want to see the model, the price, and the throughput, not a hero image and three paragraphs about our mission. Marketing copy between a developer and that information is friction.

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