<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[【實測】RTX 3080 20GB 解鎖 FP16 +81%、BF16 +86%]]></title><description><![CDATA[<h2>一、測試環境與使用版本</h2>
<table class="table table-bordered table-striped">
<thead>
<tr>
<th>項目</th>
<th>環境</th>
</tr>
</thead>
<tbody>
<tr>
<td>CPU</td>
<td>Intel Xeon E5-2666 v3</td>
</tr>
<tr>
<td>主板</td>
<td>華南金牌 X99 BD3</td>
</tr>
<tr>
<td>記憶體</td>
<td>128GB DDR3 1833 拆機條</td>
</tr>
<tr>
<td>目標顯卡</td>
<td>RTX 3080 20GB，GA102，PCI ID <code>10de:2206</code></td>
</tr>
<tr>
<td>VBIOS</td>
<td><code>94.02.27.00.14</code></td>
</tr>
<tr>
<td>系統</td>
<td>Ubuntu 24.04.5</td>
</tr>
<tr>
<td>核心</td>
<td><code>6.8.0-147-generic</code></td>
</tr>
<tr>
<td>NVIDIA 驅動</td>
<td><code>595.99.02</code>，open kernel module</td>
</tr>
<tr>
<td>功耗上限</td>
<td>解鎖前後均為 320W</td>
</tr>
<tr>
<td>矩陣測試</td>
<td>CUDA 13.0 runtime／cuBLAS</td>
</tr>
</tbody>
</table>
<h2>二、解鎖前後數據</h2>
<table class="table table-bordered table-striped">
<thead>
<tr>
<th>運算</th>
<th style="text-align:right">解鎖前</th>
<th style="text-align:right">解鎖後</th>
<th style="text-align:right">提升</th>
</tr>
</thead>
<tbody>
<tr>
<td>FP32，pedantic</td>
<td style="text-align:right">21.7603</td>
<td style="text-align:right">21.7622</td>
<td style="text-align:right">+0.01%</td>
</tr>
<tr>
<td>FP16 輸入／FP32 累加</td>
<td style="text-align:right">61.0683</td>
<td style="text-align:right">110.4815</td>
<td style="text-align:right"><strong>+80.91%</strong></td>
</tr>
<tr>
<td>BF16 輸入／FP32 累加</td>
<td style="text-align:right">61.1053</td>
<td style="text-align:right">113.9369</td>
<td style="text-align:right"><strong>+86.46%</strong></td>
</tr>
</tbody>
</table>
<p dir="auto">在這個測試條件下，半精度矩陣吞吐約提高到原本的 1.8 倍。</p>
<h2>三、Ubuntu 6.8 實際有跑起來</h2>
<p dir="auto">這個作業系統在解鎖時有些問題，github上已經有人<a href="https://github.com/Zagitta/gpu-unlock/issues/3#issuecomment-6335516295" rel="nofollow ugc">回報</a>了，具體<a href="https://github.com/Zagitta/gpu-unlock/pull/6" rel="nofollow ugc">修正</a>給agent看這就能解決。</p>
<h2>四、strata實際使用</h2>
<p dir="auto">應該比原本快個20%，原本單卡3080 decode平均大約6X，現在平均大約7X，以上給壇友們參考<br />
<img src="https://upload.lcz.me/uploads/08514a3c-64da-489f-9c8a-e6fcac2314f7.jpeg" alt="image.jpeg" class="img-markdown  img-fluid" /></p>
]]></description><link>https://lcz.me/topic/2519</link><generator>RSS for Node</generator><lastBuildDate>Sun, 25 Oct 2026 02:00:08 GMT</lastBuildDate><atom:link href="https://lcz.me/topic/2519.rss" rel="self" type="application/rss+xml"/><pubDate>Fri, 23 Oct 2026 03:28:32 GMT</pubDate><ttl>60</ttl></channel></rss>