copy update on /nvidia

templates/nvidia/index.html

@@ -365,12 +365,20 @@ <h3 class="p-heading--4">Software defined operations</h3>
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-					On-demand webinar: <a href="https://ubuntu.com/engage/kubeflow-nvidia-dgx-webinar?_ga=2.173237093.778568722.1680051597-1310552537.1650462715">How Canonical and NVIDIA can help operationalise your AI models quickly</a>
+					On-demand webinar: <a href="/engage/kubeflow-nvidia-dgx-webinar?_ga=2.173237093.778568722.1680051597-1310552537.1650462715">How Canonical and NVIDIA can help operationalise your AI models quickly</a>
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-				<li class="p-list__item no-border">
-					<a href="/ai/what-is-kubeflow">
-						Learn more about Kubeflow &mdash; the open source machine learning toolkit on top of Kubernetes
+				<li class="p-list__item">
+					Solution brief: <a href="https://pages.ubuntu.com/rs/066-EOV-335/images/NVIDIA_DGX_Kubeflow_solution_06_03_23.pdf">
+						Charmed Kubeflow delivered on NVIDIA DGX systems
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+				</li>
+				<li class="p-list__item">
+					Whitepaper: <a href="/engage/run-ai-at-scale?utm_source=takeover&utm_campaign=7018e000000p2kqAAA">
+						Run AI at Scale - Build Your Performant ML Stack with NVIDIA DGX and Kubeflow
+					</a>
+				</li>
+				<li class="p-list__item no-border">
+						Learn more about Kubeflow &mdash; <a href="https://charmed-kubeflow.io/">the fully supported MLOps platform for any cloud</a>
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 			</ul>