Samsung Electronics and SK Hynix each fell more than 3% in Seoul on Friday after DeepSeek said its newest AI model needs a fraction of the memory required by its predecessor. Both stocks had been trying to recover from July's selloff and remain more than 25% below their highs. Local retail traders, who helped drive the rally earlier this year, have sold around $10 billion of the pair this month alone.
The trigger came Thursday out of Hangzhou. DeepSeek's V4.1-Flash is fast, cheap and, by the company's own numbers, stronger than its flagship model. But the title of DeepSeek's paper had nothing to do with intelligence benchmarks. It called the release "Pushing the Limits of KV Cache Compression," and its abstract identifies memory consumption during long AI sessions as the main obstacle to making these models cheaper to run.
What DeepSeek Shipped
V4.1-Flash is a 552-billion-parameter model (parameters are the numerical values a model learns during training). DeepSeek does not activate all 552 billion for every word. It uses 8 billion parameters while processing input and 16 billion while generating output, a design that lowers the amount of computing needed for each st
