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Efficiency through Integration
Using an 8 billion parameter model costs only 10 cents per million tokens, demonstrating the affordability of large language models (LLMs). However, achieving a high usage of tokens for inference remains challenging. The hardware's efficiency stems from its integration onto a single chip, facilitating tighter connections between logic and memory, which improves data transfer speeds during inference. This innovative approach contrasts with traditional high bandwidth memory systems, contributing to significant cost-effectiveness in processing.