From dca3c2d0162db57ac83b6a67dcf6a1a96859c776 Mon Sep 17 00:00:00 2001
From: "russell@unturf.com" <russell@unturf.com>
Date: Fri, 5 Jun 2026 20:59:06 -0400
Subject: [PATCH] bend.html: qwen runs on llama.cpp, not vllm

---
 www/bend.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/www/bend.html b/www/bend.html
index b3a35ad..01bb7d3 100644
--- a/www/bend.html
+++ b/www/bend.html
@@ -104,7 +104,7 @@ make gpu-worker LUMBDA=asm                # smallest footprint</code></pre>
   </tbody>
 </table>
 
-<p>The 4090 box shares the GPU with a qwen LLM (vllm). Our bend kernels fit alongside qwen comfortably because the secp256k1 / CGBN workloads burn the SMs only for milliseconds at a time, then release. The qwen server keeps its model weights resident; our kernels allocate transient VRAM for the per-call batch, run, free, return. 24 GB VRAM is enough for both.</p>
+<p>The 4090 box shares the GPU with a qwen LLM (llama.cpp). Our bend kernels fit alongside qwen comfortably because the secp256k1 / CGBN workloads burn the SMs only for milliseconds at a time, then release. The qwen server keeps its model weights resident; our kernels allocate transient VRAM for the per-call batch, run, free, return. 24 GB VRAM is enough for both.</p>
 
 <h3>Cross-GPU parity at small batches</h3>
 <p>Single-call kernel time at <code>n=100k</code> CGBN 256-bit mod-mul:</p>