Scalability in Memory-Augmented LLMs

Comparing memory management strategies for external memory banks storing per-document modulation parameters in memory-augmented large language models.

4x
Quantization Compression
Error: only 0.005
8.6x
Clustering Compression
Best storage reduction
0.005
Quantization Error
Near-lossless
128 KB
LRU Bounded Memory
vs 1.28 MB full storage

Storage Scaling by Strategy

Reconstruction Error by Strategy

Compression-Quality Trade-off

Streaming Memory Growth

Strategy Comparison at 1,000 Documents

StrategyStorage (KB)CompressionRecon. ErrorThroughput (docs/s)
Full Storage256.01.0x0.000201,205
PCA Compression256.01.0x0.000265,103
Random Eviction128.02.0x0.5133,385
LRU Eviction128.02.0x0.500196,032
Quantization64.04.0x0.00559,518
Clustering29.68.6x1.000202,873