Add video tutorials

Author: muhsinking

instant-clusters.mdx

@@ -12,6 +12,15 @@ Runpod offers custom Instant Cluster pricing plans for large scale and enterpris
 
 Runpod Instant Clusters provide fully managed compute clusters with high-performance networking for distributed workloads like multi-node training and large-scale AI inference.
 
+<iframe
+  className="w-full aspect-video rounded-xl"
+  src="https://www.youtube.com/embed/6T3IgOxGubU?si=Dkdcba8O2rficZNo"
+  title="Introduction to Instant Clusters"
+  frameBorder="0"
+  allow="fullscreen; accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+  allowFullScreen
+></iframe>
+
 ## Key features
 
 * High-speed networking from 1600 to 3200 Gbps within a single data center.

pods/manage-pods.mdx

@@ -19,6 +19,7 @@ runpodctl config --apiKey RUNPOD_API_KEY
 You can deploy preconfigured Pods from the repos listed in the [Runpod Hub](/hub/overview). For more info, see the [Hub deployment guide](/hub/overview#deploy-as-a-pod).
 </Tip>
 
+
 <Tabs>
 <Tab title="Web">
 To create a Pod using the Runpod console:

pods/templates/overview.mdx

@@ -7,6 +7,15 @@ Pod templates are pre-configured Docker image setups that let you quickly spin u
 
 Templates eliminate the need to manually set up environments, saving time and reducing configuration errors. For example, instead of installing PyTorch, configuring JupyterLab, and setting up all dependencies yourself, you can select a pre-configured template and have everything ready to go instantly.
 
+<iframe
+  className="w-full aspect-video rounded-xl"
+  src="https://www.youtube.com/embed/PwsTMASN7ac?si=noDNxOzehmjjvjnL"
+  title="Deploying Pods from templates"
+  frameBorder="0"
+  allow="fullscreen; accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+  allowFullScreen
+></iframe>
+
 ## What Pod templates include
 
 Pod templates contain all the necessary components to launch a fully configured Pod:

serverless/endpoints/send-requests.mdx

@@ -10,6 +10,15 @@ This guide is for **queue-based (i.e. traditional) Serverless endpoints**. If yo
 
 Serverless endpoints provide synchronous and asynchronous job processing with automatic worker scaling based on demand. This page covers everything from basic input structure and job submission, to monitoring, troubleshooting, and advanced options for queue-based endpoints.
 
+<iframe
+  className="w-full aspect-video rounded-xl"
+  src="https://www.youtube.com/embed/BURJRgjNNJI?si=wdbNI58YGdPI7JyE"
+  title="Send requests from the console"
+  frameBorder="0"
+  allow="fullscreen; accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+  allowFullScreen
+></iframe>
+
 ## How requests work
 
 After creating a Serverless [endpoint](/serverless/endpoints/overview), you can start sending it **requests** to submit jobs and retrieve results. 

serverless/workers/github-integration.mdx

@@ -8,6 +8,15 @@ description: "Learn how to deploy a Serverless worker directly from a GitHub rep
 
 Runpod's GitHub integration simplifies your workflow by pulling your code and Dockerfile from GitHub, building the container image, storing it in Runpod's secure container registry, and deploying it to your endpoint.
 
+<iframe
+  className="w-full aspect-video rounded-xl"
+  src="https://www.youtube.com/embed/3lHnRU4QPRM"
+  title="Deploy workers from GitHub"
+  frameBorder="0"
+  allow="fullscreen; accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+  allowFullScreen
+></iframe>
+
 ## Requirements
 
 To deploy a worker from GitHub, you need: