<p>I am following the tutorial here about kserve <a href="https://github.com/kserve/modelmesh-serving/blob/main/docs/quickstart.md" rel="nofollow noreferrer">https://github.com/kserve/modelmesh-serving/blob/main/docs/quickstart.md</a></p>
<p>Is this my docker&amp;k8s issue? I have spent hours trying to debug but to no avail.</p>
<p>I am getting the following error:</p>
<pre><code>
Events:
  Type     Reason     Age    From               Message
  ----     ------     ----   ----               -------
  Normal   Scheduled  4m20s  default-scheduler  Successfully assigned modelmesh-serving/modelmesh-serving-mlserver-0.x-77cc8fd548-xdgvr to minikube
  Normal   Pulling    4m18s  kubelet            Pulling image &quot;kserve/modelmesh:v0.9.0-rc0&quot;
  Normal   Pulled     3m18s  kubelet            Successfully pulled image &quot;kserve/modelmesh:v0.9.0-rc0&quot; in 59.419620166s
  Normal   Created    3m18s  kubelet            Created container mm
  Normal   Started    3m17s  kubelet            Started container mm
  Normal   Pulling    3m17s  kubelet            Pulling image &quot;seldonio/mlserver:0.5.2&quot;
  Warning  Failed     68s    kubelet            Failed to pull image &quot;seldonio/mlserver:0.5.2&quot;: rpc error: code = Unknown desc = context deadline exceeded
  Warning  Failed     68s    kubelet            Error: ErrImagePull
  Normal   Pulling    68s    kubelet            Pulling image &quot;kserve/modelmesh-runtime-adapter:v0.9.0-rc0&quot;

</code></pre>

bonijad383
<p>The image you try to pull exists and is available <a href="https://hub.docker.com/layers/mlserver/seldonio/mlserver/0.5.2/images/sha256-8c2244e2b51102d3bd7f814dc11775f304c8be5dca42ccb6a57b545d88bed1f9?context=explore" rel="nofollow noreferrer">here</a>. However, from what I see it's very big (<code>2.74 GB</code>). That probably means that you experienced a timeout while pull the image.</p>
<p>Depending on your Kubernetes cluster and use case you can do the following:</p>
<ul>
<li>Try a few times and it'll pull the image at some point</li>
<li>Increase the <code>--runtime-request-timeout</code> in your <code>kubelet</code></li>
<li>Execute <code>docker pull seldonio/mlserver:0.5.2</code></li>
</ul>
