DeepSeek V4 Architecture
DeepSeek Engram Memory
The secret weapon behind DeepSeek V4's infinite context window.
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
∞ (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