Nvidia p2p benchmark low bandwidth help

<!-- SC_OFF --><div class="md"><p>I am currently running dual RTX 5060 ti 16gb (both of which are easy to sell or re-use in other PCs at home) and monitoring the used market for

<!-- SC_OFF --><div class="md"><p>Motherboard: Asus x370 Taichi</p> <p>PCIE1: PCIe 3.0 x16 (runs at x16 single, or x8 when PCIE3 is also populated)</p> <p>PCIE2: PCIe 3.0 x16

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t6d9la/9700_pro_users_undervolting_nets_crazy_clocks/"> <img alt="9700 pro users, undervolting nets crazy

<!-- SC_OFF --><div class="md"><p>Few days ago I posted about my <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t94ito/i_have_deepseek_v4_pro_at_home/">DeepSeek V4 Pro</a>

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t4uj9h/mtp_on_strix_halo_with_llamacpp_pr_22673/"> <img alt="MTP on strix halo with llama.cpp (PR #22673)"

<!-- SC_OFF --><div class="md"><p>Wrote a deep dive on <strong>FlashAttention-4 (03/05/2026)</strong> that's relevant for anyone thinking about inference performance.</p>

<!-- SC_OFF --><div class="md"><p>Got Qwen 3.5 27B to 1,103,941 tok/s on 12 nodes with 96 B200 GPUs.</p> <p>At that rate you process 50,000 insurance policy documents in hours

<h2> FlashQLA Kernels Accelerate AI; NVIDIA &amp; AMD Unveil New GPUs </h2> <h3> Today's Highlights </h3> <p>This week, Qwen introduced FlashQLA, high-performance attention