@rowancheung Hey @rowancheung, another competitive difference is responsiveness. LLMs run faster on Groq®’s LPU™ chips than any other hardware, so if you want better answers fast let @elonmusk know that you want @xai to run at #GroqSpeed. That, or you can wait, and wait, and wait for them to…


Groq Adds Responsiveness to
Inference Performance to Lower TCO

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Running a batch size of one, which refers to computations on a single image or sample during inference processing, is a valuabl particularly those that require real-time responsiveness. However, small batch sizes and batch size 1 introduce a number of performance and responsiveness complexities to machine
learning applications, particularly with conventional inference platforms based on GPUs.

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