Model Parallelism: A strategy that divides a neural network model into segments distributed over several devices, each processing part of the overall computation concurrently.

But while it still plays a part in our machine learning, AI PC, it’s not the lynchpin. Still, you want a modern one with lots of cores and preferably a strong upgrade path for the future, too.

As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...