Talk to Gemma 4 31B with our voice app! It sees and searches the web faster than you blink. Thanks to @cerebras’ ultra fast inference, the LLM is almost instantaneous. The whole stack is fully open-source, and is a drop-in replacement for OpenAI's realtime API. Demo:…

Watch the full interview: piped.video/LRpw1PAQxbc In conversation with @MilksandMatcha for Cerebras's Big Chip Club, produced by @alyciazcary. Link Cerebras Big Chip Club: Logan Kilpatrick on why speed will define the next generation of AI products Logan Kilpatrick — who…

"If you knew you could get that many tokens, you would build different products." Logan Kilpatrick (@OfficialLoganK ,@GoogleDeepMind) on why fast inference doesn't just make AI faster. It changes what is possible to build. @googlegemma's Gemma 4 is now on Cerebras, running…

We gave two agents the same task: “Find images matching this description.” Both use Gemma 4 31B. One runs on Cerebras. The other runs on GPUs. You can see the difference. Speed changes the product experience. What would you build if you didn't have to wait? Video

I just ran Gemma 4 31B on @CerebrasSystems at 1,800+ tokens/sec and it's multimodal. For context: that's 35x faster than a typical GPU endpoint, and the first token (reasoning included) lands in 1.5 seconds. This isn't a benchmark slide, I recorded the inference live. Prompt…