diff --git a/www/bend.html b/www/bend.html
index d7d0784..8f156e2 100644
--- a/www/bend.html
+++ b/www/bend.html
@@ -87,7 +87,7 @@ make gpu-worker LUMBDA=python PORT=8321   # second worker, off-BEND port</code><
     <tr><td><code>cammy.foxhop.net</code></td><td>Tesla P40 (24 GB)</td><td>sm_61</td><td>8320</td><td><strong>active</strong> &mdash; 3-node mesh (Pascal)</td></tr>
   </tbody>
 </table>
-<p>3-node mesh active. 3090 + 4090 + P40 all serve bend workloads on port 8320 (BEND mnemonic). Round-robin or explicit selection via <code>(bend-set-workers! '((&quot;3090-ai.foxhop.net&quot; . 8320) (&quot;ai.foxhop.net&quot; . 8320) (&quot;cammy.foxhop.net&quot; . 8320)))</code>. Cost-routed coordinator pattern: greedy bin-pack candidates by predicted cost; per-host wall factor 1.00 / 0.51 / 1.84 (3090 / 4090 / P40 — Pascal lags but contributes a third concurrent stream); one worker thread per node fires concurrently against our wire protocol. Each node serializes its own queue (workers do not multiplex requests cleanly inside one CUDA context).</p>
+<p>3-node mesh active. 3090 + 4090 + P40 all serve bend workloads on port 8320 (BEND mnemonic). Round-robin or explicit selection via <code>(bend-set-workers! '((&quot;3090-ai.foxhop.net&quot; . 8320) (&quot;ai.foxhop.net&quot; . 8320) (&quot;cammy.foxhop.net&quot; . 8320)))</code>. Cost-routed coordinator pattern: greedy bin-pack candidates by predicted cost; per-host wall factor 1.00 / 0.51 / 1.84 (3090 / 4090 / P40 — Pascal lags but contributes a third concurrent stream); one worker thread per node fires concurrently against our wire protocol. Each node serializes its own queue (workers do not multiplex requests cleanly inside one CUDA context). Full hardware table, bench numbers, &amp; LLM-coexistence detail at <a href="https://www.foxhop.net/053ba7da-6277-11f1-82fc-040140774501/gpu-mesh">foxhop gpu-mesh</a>.</p>
 </section>
 
 <section id="health">