docs: restructure docs directory and move fern config to fern/ (#6700)

Signed-off-by: Neal Vaidya <nealv@nvidia.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>

examples/README.md

@@ -82,4 +82,4 @@ If you're running Kubernetes/cloud deployment examples (EKS, AKS, GKE), you'll a
 | **kubectl** | v1.24+ | [Install kubectl](https://kubernetes.io/docs/tasks/tools/#kubectl) |
 | **Helm** | v3.0+ | [Install Helm](https://helm.sh/docs/intro/install/) |
 
-See the [Kubernetes Installation Guide](/docs/pages/kubernetes/installation-guide.md#prerequisites) for detailed setup instructions and pre-deployment checks.
+See the [Kubernetes Installation Guide](/docs/kubernetes/installation-guide.md#prerequisites) for detailed setup instructions and pre-deployment checks.

examples/backends/sglang/deploy/README.md

@@ -74,7 +74,7 @@ extraPodSpec:
 
 Before using these templates, ensure you have:
 
-1. **Dynamo Kubernetes Platform installed** - See [Installing Dynamo Kubernetes Platform](../../../../docs/pages/kubernetes/installation-guide.md)
+1. **Dynamo Kubernetes Platform installed** - See [Installing Dynamo Kubernetes Platform](../../../../docs/kubernetes/installation-guide.md)
 2. **Kubernetes cluster with GPU support**
 3. **Container registry access** for SGLang runtime images
 4. **HuggingFace token secret** (referenced as `envFromSecret: hf-token-secret`)
@@ -144,10 +144,10 @@ All templates use **DeepSeek-R1-Distill-Llama-8B** as the default model. But you
 
 ## Further Reading
 
-- **Deployment Guide**: [Creating Kubernetes Deployments](../../../../docs/pages/kubernetes/deployment/create-deployment.md)
-- **Quickstart**: [Deployment Quickstart](../../../../docs/pages/kubernetes/README.md)
-- **Platform Setup**: [Dynamo Kubernetes Platform Installation](../../../../docs/pages/kubernetes/installation-guide.md)
-- **Examples**: [Deployment Examples](../../../../docs/pages/getting-started/examples.md)
+- **Deployment Guide**: [Creating Kubernetes Deployments](../../../../docs/kubernetes/deployment/create-deployment.md)
+- **Quickstart**: [Deployment Quickstart](../../../../docs/kubernetes/README.md)
+- **Platform Setup**: [Dynamo Kubernetes Platform Installation](../../../../docs/kubernetes/installation-guide.md)
+- **Examples**: [Deployment Examples](../../../../docs/getting-started/examples.md)
 - **Kubernetes CRDs**: [Custom Resources Documentation](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)
 
 ## Troubleshooting
@@ -159,4 +159,4 @@ Common issues and solutions:
 3. **Health check failures**: Review model loading logs and increase `initialDelaySeconds`
 4. **Out of memory**: Increase memory limits or reduce model batch size
 
-For additional support, refer to the [deployment guide](../../../../docs/pages/kubernetes/README.md).
+For additional support, refer to the [deployment guide](../../../../docs/kubernetes/README.md).

examples/backends/tritonserver/README.md

@@ -223,6 +223,6 @@ To add other backends (TensorRT, ONNX, Python, etc.), edit the Makefile's `build
 
 ## Related Documentation
 
-- [Dynamo Backend Guide](../../../docs/pages/development/backend-guide.md)
+- [Dynamo Backend Guide](../../../docs/development/backend-guide.md)
 - [Triton Inference Server](https://github.com/triton-inference-server/server)
 - [KServe Protocol](https://kserve.github.io/website/latest/modelserving/data_plane/v2_protocol/)

examples/backends/trtllm/deploy/README.md

@@ -53,7 +53,7 @@ Advanced disaggregated deployment with SLA-based automatic scaling.
 - `TRTLLMPrefillWorker`: Specialized prefill-only worker
 
 > [!NOTE]
-> This deployment requires pre-deployment profiling to be completed first. See [Pre-Deployment Profiling](../../../../docs/pages/components/profiler/profiler-guide.md) for detailed instructions.
+> This deployment requires pre-deployment profiling to be completed first. See [Pre-Deployment Profiling](../../../../docs/components/profiler/profiler-guide.md) for detailed instructions.
 
 ## CRD Structure
 
@@ -102,7 +102,7 @@ extraPodSpec:
 
 Before using these templates, ensure you have:
 
-1. **Dynamo Kubernetes Platform installed** - See [Quickstart Guide](../../../../docs/pages/kubernetes/README.md)
+1. **Dynamo Kubernetes Platform installed** - See [Quickstart Guide](../../../../docs/kubernetes/README.md)
 2. **Kubernetes cluster with GPU support**
 3. **Container registry access** for TensorRT-LLM runtime images
 4. **HuggingFace token secret** (referenced as `envFromSecret: hf-token-secret`)
@@ -155,7 +155,7 @@ args:
 
 ### 3. Deploy
 
-See the [Create Deployment Guide](../../../../docs/pages/kubernetes/deployment/create-deployment.md) to learn how to deploy the deployment file.
+See the [Create Deployment Guide](../../../../docs/kubernetes/deployment/create-deployment.md) to learn how to deploy the deployment file.
 
 First, create a secret for the HuggingFace token.
 ```bash
@@ -219,7 +219,7 @@ TensorRT-LLM workers are configured through command-line arguments in the deploy
 
 ## Testing the Deployment
 
-Send a test request to verify your deployment. See the [client section](../../../../docs/pages/backends/vllm/README.md#client) for detailed instructions.
+Send a test request to verify your deployment. See the [client section](../../../../docs/backends/vllm/README.md#client) for detailed instructions.
 
 **Note:** For multi-node deployments, target the node running `python3 -m dynamo.frontend <args>`.
 
@@ -241,11 +241,11 @@ TensorRT-LLM supports two methods for KV cache transfer in disaggregated serving
 - **UCX** (default): Standard method for KV cache transfer
 - **NIXL** (experimental): Alternative transfer method
 
-For detailed configuration instructions, see the [KV cache transfer guide](../../../../docs/pages/backends/trtllm/kv-cache-transfer.md).
+For detailed configuration instructions, see the [KV cache transfer guide](../../../../docs/backends/trtllm/kv-cache-transfer.md).
 
 ## Request Migration
 
-You can enable [request migration](../../../../docs/pages/fault-tolerance/request-migration.md) to handle worker failures gracefully by adding the migration limit argument to worker configurations:
+You can enable [request migration](../../../../docs/fault-tolerance/request-migration.md) to handle worker failures gracefully by adding the migration limit argument to worker configurations:
 
 ```yaml
 args:
@@ -264,13 +264,13 @@ Configure the `model` name and `host` based on your deployment.
 
 ## Further Reading
 
-- **Deployment Guide**: [Creating Kubernetes Deployments](../../../../docs/pages/kubernetes/deployment/create-deployment.md)
-- **Quickstart**: [Deployment Quickstart](../../../../docs/pages/kubernetes/README.md)
-- **Platform Setup**: [Dynamo Kubernetes Platform Installation](../../../../docs/pages/kubernetes/installation-guide.md)
-- **Examples**: [Deployment Examples](../../../../docs/pages/getting-started/examples.md)
-- **Architecture Docs**: [Disaggregated Serving](../../../../docs/pages/design-docs/disagg-serving.md), [KV-Aware Routing](../../../../docs/pages/components/router/README.md)
-- **Multinode Deployment**: [Multinode Examples](../../../../docs/pages/backends/trtllm/multinode/multinode-examples.md)
-- **Speculative Decoding**: [Llama 4 + Eagle Guide](../../../../docs/pages/backends/trtllm/llama4-plus-eagle.md)
+- **Deployment Guide**: [Creating Kubernetes Deployments](../../../../docs/kubernetes/deployment/create-deployment.md)
+- **Quickstart**: [Deployment Quickstart](../../../../docs/kubernetes/README.md)
+- **Platform Setup**: [Dynamo Kubernetes Platform Installation](../../../../docs/kubernetes/installation-guide.md)
+- **Examples**: [Deployment Examples](../../../../docs/getting-started/examples.md)
+- **Architecture Docs**: [Disaggregated Serving](../../../../docs/design-docs/disagg-serving.md), [KV-Aware Routing](../../../../docs/components/router/README.md)
+- **Multinode Deployment**: [Multinode Examples](../../../../docs/backends/trtllm/multinode/multinode-examples.md)
+- **Speculative Decoding**: [Llama 4 + Eagle Guide](../../../../docs/backends/trtllm/llama4-plus-eagle.md)
 - **Kubernetes CRDs**: [Custom Resources Documentation](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)
 
 ## Troubleshooting
@@ -285,4 +285,4 @@ Common issues and solutions:
 6. **Git LFS issues**: Ensure git-lfs is installed before building containers
 7. **ARM deployment**: Use `--platform linux/arm64` when building on ARM machines
 
-For additional support, refer to the [deployment troubleshooting guide](../../../../docs/pages/kubernetes/README.md).
+For additional support, refer to the [deployment troubleshooting guide](../../../../docs/kubernetes/README.md).

examples/backends/trtllm/performance_sweeps/README.md

@@ -41,7 +41,7 @@ Please note that:
 3. `post_process.py` - Scan the aiperf results to produce a json with entries to each config point.
 4. `plot_performance_comparison.py` - Takes the json result file for disaggregated and/or aggregated configuration sweeps and plots a pareto line for better visualization.
 
-For more finer grained details on how to launch TRTLLM backend workers with DeepSeek R1 on GB200 slurm, please refer [multinode-examples.md](../../../../docs/pages/backends/trtllm/multinode/multinode-examples.md). This guide shares similar assumption to the multinode examples guide.
+For more finer grained details on how to launch TRTLLM backend workers with DeepSeek R1 on GB200 slurm, please refer [multinode-examples.md](../../../../docs/backends/trtllm/multinode/multinode-examples.md). This guide shares similar assumption to the multinode examples guide.
 
 ## Usage
 
@@ -49,7 +49,7 @@ For more finer grained details on how to launch TRTLLM backend workers with Deep
 
 Before running the scripts, ensure you have:
 1. Access to a SLURM cluster
-2. Container image of Dynamo with TensorRT-LLM built using instructions from [here](https://github.com/ai-dynamo/dynamo/tree/main/docs/pages/backends/trtllm/README.md#build-container).
+2. Container image of Dynamo with TensorRT-LLM built using instructions from [here](https://github.com/ai-dynamo/dynamo/tree/main/docs/backends/trtllm/README.md#build-container).
 3. Model files accessible on the cluster
 4. Required environment variables set
 
@@ -69,7 +69,7 @@ export SLURM_JOB_NAME=""
 
 # NOTE: IMAGE must be set manually for now
 # To build an iamge, see the steps here:
-# https://github.com/ai-dynamo/dynamo/tree/main/docs/pages/backends/trtllm/README.md#build-container
+# https://github.com/ai-dynamo/dynamo/tree/main/docs/backends/trtllm/README.md#build-container
 export IMAGE="<dynamo_trtllm_image>"
 
 # NOTE: In general, Deepseek R1 is very large, so it is recommended to