Groq Inc. has made significant strides in the AI and hardware industry with its introduction of the Mixtral model and LPU™ Inference Engine, achieving an impressive processing speed of nearly 483 tokens per second. This development has been met with enthusiasm from the tech community, highlighting its potential to dramatically reduce latency and cost in large language model (LLM) applications. The technology is noted for its ability to deliver instantaneous responses, opening up new use cases and enhancing user experience. Groq's achievements are attributed to its innovative approach, leveraging custom hardware and a software-defined network that treats all chips as a single unit. The company, founded by former Google TPU members, offers a cost-effective solution at $0.8 per 1 million tokens, significantly cheaper than its competitors. Groq's technology is not only fast but also accessible, as it is not closed-source like Google's Gemini Ultra, which can handle 500k tokens. The tech community anticipates that Groq's advancements, especially with the Mixtral 8x7b-32k model achieving 500 tokens per second, could be a game-changer, potentially challenging Nvidia's dominance in the GPU market.
We love it when @GroqInc goes brrrr. Mixtral8x7b with 32k token context window running at 422 tokens per second. Spicy. Something worth thinking about.... Its now our dumb, slow fingers tapping on the keyboard thats slowing us down. Liking the 'Modify' function too. Instant… https://t.co/4RtYjKnLpY
We love it when @GroqIncm goes brrrr. Mixtral8x7b with 32k token context window running at 422 tokens per second. Spicy. Something worth thinking about.... Its now our dumb, slow fingers tapping on the keyboard thats slowing us down. Liking the 'Modify' function too. Instant… https://t.co/6h4hGrKGRl
Pretty awesome and novel architecture for Groq, the lightning fast inference (and training) engine. Check out the paper. Basically a super fast software defined network that uses all the chips as a single hardware tapestry. If you haven't tried it yet, it's amazingly fast.…