I'm an independent researcher running LLMs on an IBM POWER8 server (320GB RAM, vintage 2015 hardware).<p><pre><code> On December 16, 2025, I developed "RAM Coffers" - a NUMA-distributed conditional memory system that selectively houses model weights in RAM banks with resonance-based
routing for O(1) knowledge retrieval.
On January 12, 2026, DeepSeek published their "Engram" paper (arXiv:2601.07372) describing the same core concept: separating static knowledge from dynamic computation via
O(1) lookup.
Same idea. 27 days apart. No connection.
DOI: 10.6084/m9.figshare.31093429
GitHub: https://github.com/Scottcjn/ram-coffers
DeepSeek paper: https://arxiv.org/abs/2601.07372
Running on "obsolete" POWER8 hardware, I hit 147 tokens/sec on TinyLlama - 8.8x faster than stock llama.cpp.
Sometimes the garage beats the lab.</code></pre>