diff --git a/.github/workflows/schedule_nightly_test_a3.yaml b/.github/workflows/schedule_nightly_test_a3.yaml
index 79b19805..66a5818e 100644
--- a/.github/workflows/schedule_nightly_test_a3.yaml
+++ b/.github/workflows/schedule_nightly_test_a3.yaml
@@ -104,9 +104,6 @@ jobs:
           - name: multi-node-qwenw8a8-2node-longseq
             config_file_path: Qwen3-235B-W8A8-longseq.yaml
             size: 2
-          - name: multi-node-deepseek-V3_2-W8A8-cp
-            config_file_path: DeepSeek-V3_2-W8A8-cp.yaml
-            size: 2
           - name: multi-node-qwen-disagg-pd
             config_file_path: Qwen3-235B-disagg-pd.yaml
             size: 2
diff --git a/tests/e2e/nightly/multi_node/config/DeepSeek-V3_2-W8A8-cp.yaml b/tests/e2e/nightly/multi_node/config/DeepSeek-V3_2-W8A8-cp.yaml
deleted file mode 100644
index 77978d4a..00000000
--- a/tests/e2e/nightly/multi_node/config/DeepSeek-V3_2-W8A8-cp.yaml
+++ /dev/null
@@ -1,91 +0,0 @@
-test_name: "test DeepSeek-V3.2-W8A8 for PCP&DCP"
-model: "vllm-ascend/DeepSeek-V3.2-W8A8"
-num_nodes: 2
-npu_per_node: 16
-env_common:
-  HCCL_OP_EXPANSION_MODE: "AIV"
-
-  VLLM_USE_MODELSCOPE: true
-  HCCL_BUFFSIZE: 1024
-  SERVER_PORT: 8080
-  OMP_PROC_BIND: false
-  OMP_NUM_THREADS: 1
-  PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
-  VLLM_ASCEND_ENABLE_FLASHCOMM1: 1
-  ASCEND_A3_EBA_ENABLE: 1
-
-
-deployment:
-  -
-    server_cmd: >
-      vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
-      --host 0.0.0.0
-      --port $SERVER_PORT
-      --data-parallel-size 4
-      --data-parallel-size-local 2
-      --data-parallel-address $LOCAL_IP
-      --data-parallel-rpc-port 13399
-      --tensor-parallel-size 8
-      --decode-context-parallel-size 8
-      --quantization ascend
-      --seed 1024
-      --enable-expert-parallel
-      --max-num-seqs 16
-      --max-model-len 8192
-      --max-num-batched-tokens 4096
-      --no-enable-prefix-caching
-      --gpu-memory-utilization 0.85
-      --trust-remote-code
-      --speculative-config '{"num_speculative_tokens": 3, "method":"deepseek_mtp"}'
-      --compilation-config '{"cudagraph_capture_sizes": [3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48], "cudagraph_mode": "FULL_DECODE_ONLY"}' 
-      --additional-config '{"layer_sharding": ["q_b_proj", "o_proj"]}'
-      --tokenizer-mode deepseek_v32
-      --reasoning-parser deepseek_v3
-
-  -
-    server_cmd: >
-      vllm serve vllm-ascend/DeepSeek-V3.2-W8A8
-      --headless
-      --data-parallel-size 4
-      --data-parallel-rpc-port 13399
-      --data-parallel-size-local 2
-      --data-parallel-start-rank 2
-      --data-parallel-address $MASTER_IP
-      --tensor-parallel-size 8
-      --decode-context-parallel-size 8
-      --quantization ascend
-      --seed 1024
-      --enable-expert-parallel
-      --max-num-seqs 16
-      --max-model-len 8192
-      --max-num-batched-tokens 4096
-      --no-enable-prefix-caching
-      --gpu-memory-utilization 0.85
-      --trust-remote-code
-      --speculative-config '{"num_speculative_tokens": 3, "method":"deepseek_mtp"}'
-      --compilation-config '{"cudagraph_capture_sizes": [3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48], "cudagraph_mode": "FULL_DECODE_ONLY"}' 
-      --additional-config '{"layer_sharding": ["q_b_proj", "o_proj"]}'
-      --tokenizer-mode deepseek_v32
-      --reasoning-parser deepseek_v3
-benchmarks:
-  perf:
-    case_type: performance
-    dataset_path: vllm-ascend/GSM8K-in3500-bs2800
-    request_conf: vllm_api_stream_chat
-    dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf
-    num_prompts: 512
-    max_out_len: 3000
-    batch_size: 512
-    request_rate: 11.2
-    baseline: 1253.8466 
-    threshold: 0.97
-    
-  acc:
-    case_type: accuracy
-    dataset_path: vllm-ascend/gsm8k-lite
-    request_conf: vllm_api_general_chat
-    dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_chat_prompt
-    max_out_len: 4096
-    batch_size: 64
-    baseline: 95
-    threshold: 5