[Doc] Add Disaggregation Prefill for dpsk-v32 doc

docs/source/tutorials/index.md

@@ -18,5 +18,6 @@ multi_node
 multi_node_kimi
 multi_node_qwen3vl
 multi_node_pd_disaggregation
+multi_node_pd_disaggregation_deepseek
 multi_node_ray
 :::

docs/source/tutorials/multi_node_pd_disaggregation_deepseek.md

@@ -0,0 +1,192 @@
+# Prefill-Decode Disaggregation Verification (DeepSeek)
+
+## Getting Start
+
+vLLM-Ascend now supports prefill-decode (PD) disaggregation with EP (Expert Parallel) options. This guide take one-by-one steps to verify these features with constrained resources.
+
+Take the `DeepSeek-V3.2-Exp-W8A8` model as an example, use vllm-ascend v0.11.0rc0 (with vLLM v0.11.0) on 2 Atlas 800T A3 servers to deploy the "1P1D" architecture. Assume the ip of the prefiller server is 172.22.0.218, and the decoder servers are 172.22.0.155. On each server, use 16 NPUs to deploy one service instance.
+
+## Verify Multi-Node Communication Environment
+
+### Physical Layer Requirements
+
+- The physical machines must be located on the same WLAN, with network connectivity.
+- All NPUs must be interconnected. Intra-node connectivity is via HCCS, and inter-node connectivity is via RDMA.
+
+### Verification Process
+
+1. Single Node Verification:
+
+Execute the following commands on each node in sequence. The results must all be `success` and the status must be `UP`:
+
+```bash
+# Check the remote switch ports
+for i in {0..15}; do hccn_tool -i $i -lldp -g | grep Ifname; done
+# Get the link status of the Ethernet ports (UP or DOWN)
+for i in {0..15}; do hccn_tool -i $i -link -g ; done
+# Check the network health status
+for i in {0..15}; do hccn_tool -i $i -net_health -g ; done
+# View the network detected IP configuration
+for i in {0..15}; do hccn_tool -i $i -netdetect -g ; done
+# View gateway configuration
+for i in {0..15}; do hccn_tool -i $i -gateway -g ; done
+# View NPU network configuration
+cat /etc/hccn.conf
+```
+
+2. Get NPU IP Addresses
+
+```bash
+for i in {0..15}; do hccn_tool -i $i -ip -g;done
+```
+
+3. Cross-Node PING Test
+
+```bash
+# Execute on the target node (replace 'x.x.x.x' with actual npu ip address)
+for i in {0..15}; do hccn_tool -i $i -ping -g address x.x.x.x;done
+```
+
+## Generate Ranktable
+
+The rank table is a JSON file that specifies the mapping of Ascend NPU ranks to nodes. For more details please refer to the [vllm-ascend examples](https://github.com/vllm-project/vllm-ascend/blob/main/examples/disaggregated_prefill_v1/README.md). Execute the following commands for reference.
+
+```shell
+# Run the script on each node synchronously
+# The ip address and network card name can get from ifconfig for each node
+cd vllm-ascend/examples/disaggregate_prefill_v1/
+bash gen_ranktable.sh --ips 172.22.0.218 172.22.0.155 \
+  --npus-per-node 16 --network-card-name enp23s0f3 --prefill-device-cnt 16 --decode-device-cnt 16
+```
+
+Rank table will generated at /vllm-workspace/vllm-ascend/examples/disaggregate_prefill_v1/ranktable.json
+
+|Parameter  | meaning |
+| --- | --- |
+| --ips | Each node's local ip (prefiller nodes should be front of decoder nodes) |
+| --npus-per-node | Each node's npu clips  |
+| --network-card-name | The physical machines' NIC |
+|--prefill-device-cnt  | Npu clips used for prefill |
+|--decode-device-cnt |Npu clips used for decode |
+
+## Prefiller / Decoder Deployment
+
+We can run the following scripts to launch a server on the prefiller/decoder node respectively.
+
+:::::{tab-set}
+
+::::{tab-item} Prefiller node
+
+```shell
+#!/bin/bash
+
+export DISAGGREGATED_PREFILL_RANK_TABLE_PATH="/vllm-workspace/vllm-ascend/examples/disaggregated_prefill_v1/ranktable.json"
+nic_name="enp23s0f3"
+local_ip="172.22.0.218"
+export HCCL_IF_IP=$local_ip # node ip
+export GLOO_SOCKET_IFNAME=$nic_name  # network card name
+export TP_SOCKET_IFNAME=$nic_name
+export HCCL_SOCKET_IFNAME=$nic_name
+export OMP_PROC_BIND=false
+export OMP_NUM_THREADS=100
+
+vllm serve /root/.cache/weights/dpsk_w8a8 \
+--host 0.0.0.0 \
+--port 8000 \
+--tensor-parallel-size 16 \
+--seed 1024 \
+--quantization ascend \
+--served-model-name deepseek_v3.2 \
+--max-num-seqs 16 \
+--max-model-len 32768 \
+--max-num-batched-tokens 32768 \
+--enable-expert-parallel \
+--trust-remote-code \
+--no-enable-prefix-caching \
+--gpu-memory-utilization 0.92 \
+--additional-config '{"torchair_graph_config":{"enabled":true,"graph_batch_sizes":[16]}}'
+--kv-transfer-config  \
+  '{"kv_connector": "LLMDataDistCMgrConnector",
+    "kv_buffer_device": "npu",
+    "kv_role": "kv_producer",
+    "kv_parallel_size": 1,
+    "kv_port": "20001",
+    "engine_id": "0",
+    "kv_connector_module_path": "vllm_ascend.distributed.llmdatadist_c_mgr_connector"
+  }'
+```
+
+::::
+
+::::{tab-item} Decoder node
+
+```shell
+#!/bin/bash
+
+export DISAGGREGATED_PREFILL_RANK_TABLE_PATH="/vllm-workspace/vllm-ascend/examples/disaggregated_prefill_v1/ranktable.json"
+nic_name="enp23s0f3"
+local_ip="172.22.0.155"
+export HCCL_IF_IP=$local_ip # node ip
+export GLOO_SOCKET_IFNAME=$nic_name  # network card name
+export TP_SOCKET_IFNAME=$nic_name
+export HCCL_SOCKET_IFNAME=$nic_name
+export OMP_PROC_BIND=false
+export OMP_NUM_THREADS=100
+
+vllm serve /root/.cache/weights/dpsk_w8a8 \
+--host 0.0.0.0 \
+--port 8000 \
+--tensor-parallel-size 16 \
+--seed 1024 \
+--quantization ascend \
+--served-model-name deepseek_v3.2 \
+--max-num-seqs 16 \
+--max-model-len 32768 \
+--max-num-batched-tokens 32768 \
+--enable-expert-parallel \
+--trust-remote-code \
+--no-enable-prefix-caching \
+--gpu-memory-utilization 0.9 \
+--kv-transfer-config  \
+  '{"kv_connector": "LLMDataDistCMgrConnector",
+  "kv_buffer_device": "npu",
+  "kv_role": "kv_consumer",
+  "kv_parallel_size": 1,
+  "kv_port": "20001",
+  "engine_id": "0",
+  "kv_connector_module_path": "vllm_ascend.distributed.llmdatadist_c_mgr_connector"
+  }'
+```
+
+::::
+
+:::::
+
+## Example proxy for Deployment
+
+Run a proxy server on the same node with prefiller service instance. You can get the proxy program in the repository's examples: [load\_balance\_proxy\_server\_example.py](https://github.com/vllm-project/vllm-ascend/blob/main/examples/disaggregated_prefill_v1/load_balance_proxy_server_example.py)
+
+```shell
+python load_balance_proxy_server_example.py \
+    --host 172.22.0.218 \
+    --port 8080 \
+    --prefiller-hosts 172.22.0.218 \
+    --prefiller-port 8000 \
+    --decoder-hosts 172.22.0.155 \
+    --decoder-ports 8000
+```
+
+## Verification
+
+Check service health using the proxy server endpoint.
+
+```shell
+curl http://172.22.0.218:8080/v1/completions \
+    -H "Content-Type: application/json" \
+    -d '{
+        "model": "deepseek_v3.2",
+        "prompt": "Who are you?",
+        "max_tokens": 100,
+        "temperature": 0
+    }'
+```