fix(docs): clear final Ahrefs crawl issues

api-reference-v2/openapi.json

@@ -5568,7 +5568,7 @@
       "get": {
         "operationId": "getPodLogs",
         "summary": "Stream pod logs",
-        "description": "Streams pod logs as Server-Sent Events. The `source` query parameter\nselects which log source to include.\n\nThe SSE `data` payload shape is:\n`{ \"source\": \"container\", \"line\": \"...\", \"ts\": \"...\" }`.\nLog-event `id` values are the event `ts` timestamp so\nbrowser/EventSource reconnects can resume with `Last-Event-ID`.\n",
+        "description": "Stream Pod logs as Server-Sent Events. Choose a log source, receive source, line, and ts fields, and resume using Last-Event-ID.",
         "tags": [
           "Pods"
         ],
@@ -7093,7 +7093,7 @@
       "get": {
         "operationId": "getWorkerLogs",
         "summary": "Stream serverless worker logs",
-        "description": "Streams a serverless worker's logs as Server-Sent Events. The `source`\nquery parameter selects which log source to include.\n\nThe SSE `data` payload shape is:\n`{ \"source\": \"container\", \"line\": \"...\", \"ts\": \"...\" }`.\nLog-event `id` values are the event `ts` timestamp so browser/EventSource\nreconnects can resume with `Last-Event-ID`.\n",
+        "description": "Stream Serverless worker logs as Server-Sent Events. Choose a log source, receive source, line, and ts fields, and resume using Last-Event-ID.",
         "tags": [
           "Serverless"
         ],

instant-clusters.mdx

@@ -1,4 +1,4 @@
 ---
 title: "Overview"
 sidebarTitle: "Overview"
 description: "Fully managed compute clusters for multi-node training and AI inference. Review configuration and operations guidance for Runpod Clusters."
@@ -18,6 +18,8 @@
 
 ## Get started
 
+For distributed inference across multiple nodes, follow the [Ray and vLLM deployment guide](/instant-clusters/ray-vllm).
+
 <CardGroup cols={3}>
   <Card title="Deploy a Slurm cluster" href="/instant-clusters/slurm-clusters" icon="splotch" horizontal>
     Managed Slurm for HPC workloads.
@@ -35,7 +37,7 @@
 
 ## How it works
 
 Runpod provisions multiple GPU nodes in the same <DataCenterTooltip /> connected with high-speed networking. One node is designated primary (`NODE_RANK=0`), and all nodes receive pre-configured environment variables for distributed communication.
 
 <div style={{ marginLeft: '4rem'}}>
 ```mermaid
@@ -74,24 +76,24 @@
 ```
 </div>
 
 The high-speed interfaces (`ens1`-`ens8`) handle inter-node communication for <PyTorchTooltip />, <TensorFlowTooltip />, and <SlurmTooltip />. The `eth0` interface on the primary node handles external traffic. See the [configuration reference](/instant-clusters/configuration) for environment variables and network details.
 
 ## Supported hardware
 
 | GPU | Network speed | Nodes |
 | --- | ------------- | ----- |
 | B200 | 3200 Gbps | 2-8 nodes (16-64 GPUs) |
 | H200 | 3200 Gbps | 2-8 nodes (16-64 GPUs) |
 | H100 | 3200 Gbps | 2-8 nodes (16-64 GPUs) |
 | A100 | 1600 Gbps | 2-8 nodes (16-64 GPUs) |
 
 For clusters larger than 8 nodes (up to 512 GPUs), [contact our sales team](https://ecykq.share.hsforms.com/2MZdZATC3Rb62Dgci7knjbA).
 
 ## Pricing
 
 Pricing is based on GPU type and number of nodes. See [Instant Clusters pricing](https://www.runpod.io/pricing) for current rates.
 
 Custom pricing is available for enterprise workloads. [Contact our sales team](https://ecykq.share.hsforms.com/2MZdZATC3Rb62Dgci7knjbA) for details.
 
 <Note>
 All accounts have a default spending limit. To deploy larger clusters, contact [help@runpod.io](mailto:help@runpod.io).

tutorials/introduction/overview.mdx

@@ -1,4 +1,4 @@
 ---
 title: "Overview"
 sidebarTitle: "Overview"
 description: "Step-by-step guides for building and deploying AI/ML applications on Runpod. Follow the setup and implementation steps in this Runpod tutorial."
@@ -11,6 +11,8 @@
 
 ## Serverless
 
+For CPU-based inference, follow the [Ollama Serverless tutorial](/tutorials/serverless/run-ollama-inference).
+
 <CardGroup cols={3}>
   <Card title="Create an image generation endpoint" href="/tutorials/serverless/run-your-first" icon="image" horizontal>
     Deploy a Stable Diffusion endpoint and generate your first AI image.
@@ -63,7 +65,7 @@
   </Card>
 </CardGroup>
 
 ## Public Endpoints
 
 <CardGroup cols={3}>
   <Card title="Build a text-to-video pipeline" href="/tutorials/public-endpoints/text-to-video-pipeline" icon="video" horizontal>
@@ -73,6 +75,8 @@
 
 ## More resources
 
+Review [container tutorials](/containers) for packaging guidance, or browse [community video resources](/references/video-resources) for additional walkthroughs.
+
 <CardGroup cols={2}>
   <Card title="Container tutorials" href="/containers" icon="container-storage" horizontal>
     Learn container fundamentals, Dockerfile creation, persistence, and common Docker commands.