Remove legacy Sphinx docs/ and finish the Mintlify cutover (#28964)

This commit is contained in:
zijiexia
2026-07-13 15:06:08 -07:00
committed by GitHub
parent e2728ac504
commit 50ed4c011f
235 changed files with 141 additions and 48841 deletions
@@ -17,7 +17,7 @@ Here we take the deployment of DeepSeek-R1 as an example.
1. At least two Kubernetes nodes, each with two H20 systems and eight GPUs, are required.
2. Make sure your K8S cluster has LWS correctly installed. If it hasn't been set up yet, please follow the [installation instructions](https://github.com/kubernetes-sigs/lws/blob/main/site/content/en/docs/installation/_index). **Note:** For LWS versions ≤0.5.x, you must use the Downward API to obtain `LWS_WORKER_INDEX`, as native support for this feature was introduced in v0.6.0.
2. Make sure your K8S cluster has LWS correctly installed. If it hasn't been set up yet, please follow the [installation instructions](https://lws.sigs.k8s.io/docs/installation/). **Note:** For LWS versions ≤0.5.x, you must use the Downward API to obtain `LWS_WORKER_INDEX`, as native support for this feature was introduced in v0.6.0.
## Basic example
@@ -267,7 +267,7 @@ This should resolve most NCCL-related issues.
#### RoCE scenario
* Please make sure that RDMA devices are available in the cluster environment.
* Please make sure that the nodes in the cluster have Mellanox NICs with RoCE. In this example, we use Mellanox ConnectX 5 model NICs, and the proper OFED driver has been installed. If not, please refer to the document [Install OFED Driver](https://docs.nvidia.com/networking/display/mlnxofedv461000/installing+mellanox+ofed) to install the driver.
* Please make sure that the nodes in the cluster have Mellanox NICs with RoCE. In this example, we use Mellanox ConnectX 5 model NICs, and the proper OFED driver has been installed. If not, please refer to the document [Install OFED Driver](https://docs.nvidia.com/networking/display/mlnxofedv24102180lts/installing+the+driver) to install the driver.
* Check your env:
```shell Command
@@ -1,14 +0,0 @@
Multi-Node Deployment
=====================
.. toctree::
:maxdepth: 1
:caption: Multi-Node Deployment
multi_node.md
deploy_on_k8s.md
lws_pd/lws_pd_deploy.md
rbg_pd/deepseekv32_pd.md
- `Deploying DeepSeek with PD Disaggregation and Large-Scale Expert Parallelism on 96 H100 GPUs <https://lmsys.org/blog/2025-05-05-large-scale-ep/>`_
- `Deploying Kimi K2 with PD Disaggregation and Large-Scale Expert Parallelism on 128 H200 GPUs <https://lmsys.org/blog/2025-07-20-k2-large-scale-ep/>`_