As LLMs become increasingly sophisticated in capabilities like search and reasoning, they inevitably run into a challenge in real-world applications: speed. These models generate text one token at a time, requiring the entire parameter set for each prediction. As models grow larger, this sequential approach creates mounting latency issues that hardware improvements alone can’t resolve. […]
