DeepSeek V4 Architecture
DeepSeek Engram Memory
The secret weapon behind DeepSeek V4's infinite context window.
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What is Engram?
Traditional LLMs suffer from "KV Cache" bottlenecks, limiting their context to fixed sizes (e.g. 128k). Engram Memory introduces a novel "Conditional Memory via Scalable Lookup" mechanism.
It acts like a human hippocampus, storing infinite "memory traces" (Engrams) effectively decoupling compute from memory capacity.
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Comparing V3 vs V4 Memory
Context Window
â (Infinite)
DeepSeek V4
128k Tokens
DeepSeek V3
Retrieval Cost
O(1)
DeepSeek V4
O(N)
DeepSeek V3
Deployment
Consumer RAM Friendly
DeepSeek V4
High VRAM
DeepSeek V3
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