diff --git a/api-reference-v2/openapi.json b/api-reference-v2/openapi.json index 7df44630..00efd737 100644 --- a/api-reference-v2/openapi.json +++ b/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" ], diff --git a/instant-clusters.mdx b/instant-clusters.mdx index 9a3b62e5..e236ce70 100644 --- a/instant-clusters.mdx +++ b/instant-clusters.mdx @@ -18,6 +18,8 @@ Instant Clusters provide fully managed multi-node compute with high-performance ## Get started +For distributed inference across multiple nodes, follow the [Ray and vLLM deployment guide](/instant-clusters/ray-vllm). + Managed Slurm for HPC workloads. diff --git a/tutorials/introduction/overview.mdx b/tutorials/introduction/overview.mdx index e24d7d1e..4cee2098 100644 --- a/tutorials/introduction/overview.mdx +++ b/tutorials/introduction/overview.mdx @@ -11,6 +11,8 @@ Step-by-step guides for building and deploying example applications on Runpod. ## Serverless +For CPU-based inference, follow the [Ollama Serverless tutorial](/tutorials/serverless/run-ollama-inference). + Deploy a Stable Diffusion endpoint and generate your first AI image. @@ -73,6 +75,8 @@ Step-by-step guides for building and deploying example applications on Runpod. ## More resources +Review [container tutorials](/containers) for packaging guidance, or browse [community video resources](/references/video-resources) for additional walkthroughs. + Learn container fundamentals, Dockerfile creation, persistence, and common Docker commands.