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    <title>Compute-Workloads on ErrorVault — Developer Error Code Dictionary</title>
    <link>https://errorvault.dev/tags/compute-workloads/</link>
    <description>Recent content in Compute-Workloads on ErrorVault — Developer Error Code Dictionary</description>
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    <lastBuildDate>Fri, 05 Jun 2026 03:08:04 +0800</lastBuildDate>
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      <title>Fix clw-gpu-crash: GPU Memory Segmentation Fault in OpenClaw Compute Workloads</title>
      <link>https://errorvault.dev/openclaw/openclaw-clw-gpu-crash-gpu-memory-segmentation-fault/</link>
      <pubDate>Fri, 05 Jun 2026 03:08:04 +0800</pubDate>
      <guid>https://errorvault.dev/openclaw/openclaw-clw-gpu-crash-gpu-memory-segmentation-fault/</guid>
      <description>&lt;h2 id=&#34;1-symptoms&#34;&gt;1. Symptoms&lt;/h2&gt;&#xA;&lt;p&gt;The &lt;code&gt;clw-gpu-crash&lt;/code&gt; error occurs when an OpenClaw compute workload encounters a critical failure at the GPU level. This manifests as an abrupt termination of the GPU computation process, often leaving the device in an undefined state.&lt;/p&gt;&#xA;&lt;h3 id=&#34;observable-symptoms&#34;&gt;Observable Symptoms&lt;/h3&gt;&#xA;&lt;p&gt;The most common symptoms reported by developers include:&lt;/p&gt;&#xA;&lt;ul&gt;&#xA;&lt;li&gt;&lt;strong&gt;Sudden process termination&lt;/strong&gt;: The OpenClaw worker process exits with a non-zero exit code immediately after launching GPU kernels.&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;Device becomes unresponsive&lt;/strong&gt;: After the crash, subsequent GPU operations return &lt;code&gt;CL_DEVICE_NOT_AVAILABLE&lt;/code&gt; or similar errors until the device is reset.&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;dmesg kernel errors&lt;/strong&gt;: On Linux systems, the kernel ring buffer may contain entries indicating GPU memory access violations:&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;&lt;div class=&#34;highlight&#34;&gt;&lt;pre tabindex=&#34;0&#34; style=&#34;color:#f8f8f2;background-color:#282a36;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-text-size-adjust:none;&#34;&gt;&lt;code class=&#34;language-fallback&#34; data-lang=&#34;fallback&#34;&gt;&lt;span style=&#34;display:flex;&#34;&gt;&lt;span&gt;[  123.456789] NVRM: Xid (PCI:0000:01:00): GPU Crash, reason: GF100&#xA;&lt;/span&gt;&lt;/span&gt;&lt;span style=&#34;display:flex;&#34;&gt;&lt;span&gt;[  123.456890] NVRM: Xid (PCI:0000:01:00): GPU memory access violation at address 0x12345678&#xA;&lt;/span&gt;&lt;/span&gt;&lt;span style=&#34;display:flex;&#34;&gt;&lt;span&gt;[  123.456891] NVRM: Xid (PCI:0000:01:00):   - GPU 0000:01:00.0: GPU has fallen off the bus&#xA;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;ul&gt;&#xA;&lt;li&gt;&lt;strong&gt;Error log output&lt;/strong&gt;: The OpenClaw runtime emits the following error message:&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;&lt;div class=&#34;highlight&#34;&gt;&lt;pre tabindex=&#34;0&#34; style=&#34;color:#f8f8f2;background-color:#282a36;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-text-size-adjust:none;&#34;&gt;&lt;code class=&#34;language-gdscript3&#34; data-lang=&#34;gdscript3&#34;&gt;&lt;span style=&#34;display:flex;&#34;&gt;&lt;span&gt;[ERROR] OpenClaw Worker: clw&lt;span style=&#34;color:#ff79c6&#34;&gt;-&lt;/span&gt;gpu&lt;span style=&#34;color:#ff79c6&#34;&gt;-&lt;/span&gt;crash detected&#xA;&lt;/span&gt;&lt;/span&gt;&lt;span style=&#34;display:flex;&#34;&gt;&lt;span&gt;[ERROR]   Device: NVIDIA Tesla T4 (ID: &lt;span style=&#34;color:#bd93f9&#34;&gt;0&lt;/span&gt;)&#xA;&lt;/span&gt;&lt;/span&gt;&lt;span style=&#34;display:flex;&#34;&gt;&lt;span&gt;[ERROR]   Workload: matrix_multiply_v2&lt;span style=&#34;color:#ff79c6&#34;&gt;.&lt;/span&gt;clw&#xA;&lt;/span&gt;&lt;/span&gt;&lt;span style=&#34;display:flex;&#34;&gt;&lt;span&gt;[ERROR]   Crash type: GPU_MEMORY_SEGFAULT&#xA;&lt;/span&gt;&lt;/span&gt;&lt;span style=&#34;display:flex;&#34;&gt;&lt;span&gt;[ERROR]   Context dump saved to: &lt;span style=&#34;color:#ff79c6&#34;&gt;/&lt;/span&gt;&lt;span style=&#34;color:#ff79c6&#34;&gt;var&lt;/span&gt;&lt;span style=&#34;color:#ff79c6&#34;&gt;/&lt;/span&gt;&lt;span style=&#34;color:#8be9fd;font-style:italic&#34;&gt;log&lt;/span&gt;&lt;span style=&#34;color:#ff79c6&#34;&gt;/&lt;/span&gt;openclaw&lt;span style=&#34;color:#ff79c6&#34;&gt;/&lt;/span&gt;crash_20241230_143255&lt;span style=&#34;color:#ff79c6&#34;&gt;.&lt;/span&gt;dmp&#xA;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;ul&gt;&#xA;&lt;li&gt;&lt;strong&gt;Partial results&lt;/strong&gt;: In some cases, the GPU may have completed a portion of the workload before crashing, leaving partial output in device memory.&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;Timeout behavior&lt;/strong&gt;: If Watchdog timers are enabled, the system may report a kernel execution timeout before the crash is officially detected.&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;&lt;h3 id=&#34;secondary-symptoms&#34;&gt;Secondary Symptoms&lt;/h3&gt;&#xA;&lt;p&gt;After a &lt;code&gt;clw-gpu-crash&lt;/code&gt;, you may observe:&lt;/p&gt;</description>
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