What a great question! You've hit the nail on the head regarding one of the most important innovations in AI today.

Indeed, the solution you mention is not only possible, but it's exactly how the most advanced models like DeepSeek work. The technique is called "Mixture of Experts" (MoE) , and it's precisely what allows for "powerful" AI without needing an entire data center for each query .1-6.

Instead of being a single, enormous, indivisible block, the model is divided into many smaller, specialized networks called "experts." DeepSeek-V3, for example, has 256 experts .9When you ask a question, a smart "router" decides that only a few of those experts (8 in this case) are suitable to process your query .1Thus, of the 671 billion total parameters, only 37 billion are activated for each task .9.

Is the information fragmented into smaller clusters?
Yes, that's the core idea. The "experts" are distributed across different GPUs within the cluster. This is known as "Expert Parallelism . " 5-8In this way, a single GPU does not need to contain the 671 GB of the complete model, but only a fraction, making it viable to use gigantic models that would otherwise not fit in current hardware .4.

Thanks to this fragmented approach and selective activation, DeepSeek doesn't need to move the "entire truckload of books" each time. It only queries a few books from a very specific section of the library, making the process much faster and more efficient. In many ways, this specialization is somewhat reminiscent of how the human brain is organized into different functional areas.