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DeepSeek’s V4.1-Flash Reignites Debate Over South Korean Memory Demand

September 11, 2026 at 01:20 EDT

Foundation Models
Infra & Chips
Finance

DeepSeek’s new V4.1-Flash model has renewed investor concerns that more efficient AI inference could weaken demand for the memory chips powering the current boom. The release delivered a fresh test for funds returning to South Korean memory stocks, even as broader AI deployment continues to support the sector.

September 10, 2026 · DeepSeek

Efficiency puts AI memory demand to the test

V4.1-Flash cuts cache requirements while promising stronger, faster inference. That is good news for deployment costs—and a new question for memory-chip investors.

The memory shift

HBM cache requirement

V4.1-Flash
1/4Previous
1×

SSD cache requirement

V4.1-Flash
1/8Previous
1×

552B

Backbone parameters

Active on input

16B

Active on output

Why developers care

Lower cache use can reduce the cost of long-context, tool-using and agentic workloads.

Why investors hesitate

Fewer memory resources per request could challenge the assumption that every AI advance expands chip demand.

The unresolved question

Does efficiency shrink demand—or make AI widespread enough to increase it?

The answer depends on deployment volume, context length, concurrency and the mix of HBM, DRAM and storage used by new workloads.

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