AmorphousMemoryMark (which benchmarks memory speeds on Macs) is now open-source

&#32; submitted by &#32; <a href="https://www.reddit.com/user/peppaz"> /u/peppaz </a> <br /> <span><a href="https://devpadapp.com/anubis_bench_analysis.html">[link]</a></span>

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tqbnpq/ive_just_benchmarked_myself/"> <img alt="I've just benchmarked myself:"

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s1brq3/wmb100k_open_source_benchmark_for_ai_memory/"> <img alt="WMB-100K – open source benchmark for AI

<!-- SC_OFF --><div class="md"><p>So i recently updated LMstudio after a long pause and updated my llama.cpp runtimes too.. i was shocked.. i thought maybe something like

arXiv:2604.21284v1 Announce Type: new Abstract: MemPalace is an open-source AI memory system that applies the ancient method of loci (memory palace) spatial metaphor to organize

<!-- SC_OFF --><div class="md"><p>Sophisticates open-sourced memopt today. It is a GPU memory fabric for AI infrastructure with eight product pillars (multi-tier paging,

<!-- SC_OFF --><div class="md"><p>Running Llama-3-70B with long contexts and hitting HBM limits constantly. 128K context burns approx 40GB just for KV cache — half the H100 gone