NVIDIA builds GPUs for everything. We built a chip for one thing: running language models as fast as physically possible. Specialization always beats generalization.
I invented the TPU at Google. The Tensor Processing Unit. Then I left because I knew I could build something faster. That chip is the LPU.
Speed is the feature. When you can run inference 10x faster than anyone else, every AI application changes. Real-time conversations. Instant code generation. Things that feel sluggish on GPUs feel instant on Groq.
Our demo went viral because people could see the difference. They typed a question and the answer appeared faster than they could read it. You don't need a benchmark to feel that.
The name is Groq with a Q. Not Grok with a K. We were here first. Our chip was in development before Elon named his chatbot. Just to be clear.
Everyone is fighting over who has the best AI model. We're fighting over who can run any model the fastest. That's a better fight to be in.