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Comment by modeless | Hacker News Reader

It's funny that they don't mention this at all in the marketing or tech specs when it's obviously the biggest selling point by far. Without this it would be completely irrelevant.

Worth noting that OpenAI just announced that they got the full GPT 5.6 Sol model running on Cerebras at 750 tokens per second. No announcement of the pricing though...

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> It's funny that they don't mention this at all in the marketing or tech specs when it's obviously the biggest selling point by far. Without this it would be completely irrelevant.

Good catch! You're right to point that out. My previous marketing copy missed that specific detail. Thank you for bringing it up!

I use this in a customer facing application and Gemini’s speed makes the experience feel much better.

The application isn’t so complicated that you need opus level reasoning or code writing, we need “good enough” data retrieval and processing with natural language queries and the ability to answer follow up questions.

For that Gemini works well for a decent price.

Cerebras is crazy to watch on GPT OSS or Gemma, I feel like we need a new VibeOS demo but with Cerebras, the OS would literally build itself in a few seconds.

https://youtu.be/7NfyZhV1dKM?t=52

Thw bottleneck become compiling and running the code every iteration so it wont be seconds

JIT compilers largely solve that. The real question in my mind is whether fast LLMs bias stuff towards languages that either don't have a compile/typecheck phase at all or have one that's very fast (e.g. Java).

It's like the Intel Optane of AI

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