diff --git a/recipes/vllm/deepseek-v4-pro/8k1k/disagg-gb200-2p1d-dep8-dep8-c256-c512-c1024.yaml b/recipes/vllm/deepseek-v4-pro/8k1k/disagg-gb200-2p1d-dep8-dep8-c256-c512-c1024.yaml
new file mode 100644
index 00000000..dba4e48f
--- /dev/null
+++ b/recipes/vllm/deepseek-v4-pro/8k1k/disagg-gb200-2p1d-dep8-dep8-c256-c512-c1024.yaml
@@ -0,0 +1,102 @@
+name: "svf-vllm-disagg-gb200-2p1d-dep8-dep16"
+model:
+  path: "deepseekv4-fp4"
+  container: "vllm/vllm-openai@sha256:d29a90b13bb9758821839dd810db9679055e8adf7c670df9f0a432f45f2488a5"
+  precision: "fp4"
+
+dynamo:
+  version: 1.0.2
+  install: true
+
+setup_script: vllm-container-deps.sh
+resources:
+  gpu_type: "gb200"
+  gpus_per_node: 4
+  prefill_nodes: 4
+  decode_nodes: 2
+  prefill_workers: 2
+  decode_workers: 1
+  gpus_per_prefill: 8
+  gpus_per_decode: 8
+frontend:
+  type: dynamo
+  enable_multiple_frontends: false
+backend:
+  type: vllm
+  connector: null
+  prefill_environment:
+    TILELANG_CLEANUP_TEMP_FILES: "1"
+    VLLM_USE_NCCL_SYMM_MEM: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_NVLS_ENABLE: "1"
+    VLLM_RANDOMIZE_DP_DUMMY_INPUTS: "1"
+    VLLM_MOE_ROUTING_SIMULATION_STRATEGY: "uniform_random"
+    VLLM_LOG_STATS_INTERVAL: "1"
+  decode_environment:
+    TILELANG_CLEANUP_TEMP_FILES: "1"
+    VLLM_USE_NCCL_SYMM_MEM: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_NVLS_ENABLE: "1"
+    VLLM_RANDOMIZE_DP_DUMMY_INPUTS: "1"
+    VLLM_MOE_ROUTING_SIMULATION_STRATEGY: "uniform_random"
+    VLLM_LOG_STATS_INTERVAL: "1"
+  vllm_config:
+    prefill:
+      kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
+      served-model-name: "deepseek-ai/DeepSeek-V4-Pro"
+      kv-cache-dtype: "fp8"
+      tensor-parallel-size: 1
+      pipeline-parallel-size: 1
+      data-parallel-size: 8
+      data-parallel-rpc-port: 13345
+      enable-expert-parallel: true
+      enforce-eager: true
+      max-model-len: 16384
+      max-num-seqs: 16
+      max-num-batched-tokens: 32768
+      trust-remote-code: true
+      no-enable-prefix-caching: true
+      no-enable-flashinfer-autotune: true
+      no-async-scheduling: true
+      block-size: 256
+      gpu-memory-utilization: 0.8
+      no-disable-hybrid-kv-cache-manager: true
+      numa-bind: true
+      offload-group-size: 3
+      offload-num-in-group: 1
+      offload-prefetch-step: 2
+      tokenizer-mode: deepseek_v4
+      enable-ep-weight-filter: true
+    decode:
+      kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
+      served-model-name: "deepseek-ai/DeepSeek-V4-Pro"
+      kv-cache-dtype: "fp8"
+      tensor-parallel-size: 1
+      pipeline-parallel-size: 1
+      data-parallel-size: 8
+      data-parallel-rpc-port: 13345
+      enable-expert-parallel: true
+      max-model-len: 16384
+      max-num-seqs: 128
+      max-cudagraph-capture-size: 128
+      max-num-batched-tokens: 128
+      trust-remote-code: true
+      no-enable-prefix-caching: true
+      block-size: 256
+      compilation-config: '{"cudagraph_mode":"FULL_DECODE_ONLY","mode":0}'
+      gpu-memory-utilization: 0.9
+      stream-interval: 50
+      no-disable-hybrid-kv-cache-manager: true
+      tokenizer-mode: deepseek_v4
+      all2all-backend: "flashinfer_nvlink_one_sided"
+      enable-ep-weight-filter: true
+
+
+benchmark:
+  type: "vllm-bench"
+  isl: 8192
+  osl: 1024
+  concurrencies: "256x512x1024"
+  num_warmups: 64
\ No newline at end of file
diff --git a/recipes/vllm/deepseek-v4-pro/8k1k/disagg-gb200-3p1d-dep8-dep8-c2048.yaml b/recipes/vllm/deepseek-v4-pro/8k1k/disagg-gb200-3p1d-dep8-dep8-c2048.yaml
new file mode 100644
index 00000000..47220f76
--- /dev/null
+++ b/recipes/vllm/deepseek-v4-pro/8k1k/disagg-gb200-3p1d-dep8-dep8-c2048.yaml
@@ -0,0 +1,101 @@
+name: "svf-vllm-disagg-gb200-2p1d-dep8-dep16"
+model:
+  path: "deepseekv4-fp4"
+  container: "vllm/vllm-openai@sha256:d29a90b13bb9758821839dd810db9679055e8adf7c670df9f0a432f45f2488a5"
+  precision: "fp4"
+
+dynamo:
+  version: 1.0.2
+  install: true
+
+setup_script: vllm-container-deps.sh
+resources:
+  gpu_type: "gb200"
+  gpus_per_node: 4
+  prefill_nodes: 6
+  decode_nodes: 2
+  prefill_workers: 3
+  decode_workers: 1
+  gpus_per_prefill: 8
+  gpus_per_decode: 8
+frontend:
+  type: dynamo
+  enable_multiple_frontends: false
+backend:
+  type: vllm
+  connector: null
+  prefill_environment:
+    TILELANG_CLEANUP_TEMP_FILES: "1"
+    VLLM_USE_NCCL_SYMM_MEM: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_NVLS_ENABLE: "1"
+    VLLM_RANDOMIZE_DP_DUMMY_INPUTS: "1"
+    VLLM_MOE_ROUTING_SIMULATION_STRATEGY: "uniform_random"
+    VLLM_LOG_STATS_INTERVAL: "1"
+  decode_environment:
+    TILELANG_CLEANUP_TEMP_FILES: "1"
+    VLLM_USE_NCCL_SYMM_MEM: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_NVLS_ENABLE: "1"
+    VLLM_RANDOMIZE_DP_DUMMY_INPUTS: "1"
+    VLLM_MOE_ROUTING_SIMULATION_STRATEGY: "uniform_random"
+    VLLM_LOG_STATS_INTERVAL: "1"
+  vllm_config:
+    prefill:
+      kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
+      served-model-name: "deepseek-ai/DeepSeek-V4-Pro"
+      kv-cache-dtype: "fp8"
+      tensor-parallel-size: 1
+      pipeline-parallel-size: 1
+      data-parallel-size: 8
+      data-parallel-rpc-port: 13345
+      enable-expert-parallel: true
+      enforce-eager: true
+      max-model-len: 16384
+      max-num-seqs: 16
+      max-num-batched-tokens: 32768
+      trust-remote-code: true
+      no-enable-prefix-caching: true
+      no-enable-flashinfer-autotune: true
+      no-async-scheduling: true
+      block-size: 256
+      gpu-memory-utilization: 0.8
+      no-disable-hybrid-kv-cache-manager: true
+      numa-bind: true
+      offload-group-size: 3
+      offload-num-in-group: 1
+      offload-prefetch-step: 2
+      tokenizer-mode: deepseek_v4
+      enable-ep-weight-filter: true
+    decode:
+      kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
+      served-model-name: "deepseek-ai/DeepSeek-V4-Pro"
+      kv-cache-dtype: "fp8"
+      tensor-parallel-size: 1
+      pipeline-parallel-size: 1
+      data-parallel-size: 8
+      data-parallel-rpc-port: 13345
+      enable-expert-parallel: true
+      max-model-len: 16384
+      max-num-seqs: 256
+      max-cudagraph-capture-size: 256
+      max-num-batched-tokens: 256
+      trust-remote-code: true
+      no-enable-prefix-caching: true
+      block-size: 256
+      compilation-config: '{"cudagraph_mode":"FULL_DECODE_ONLY","mode":0}'
+      gpu-memory-utilization: 0.9
+      stream-interval: 50
+      no-disable-hybrid-kv-cache-manager: true
+      tokenizer-mode: deepseek_v4
+      enable-ep-weight-filter: true
+      all2all-backend: "flashinfer_nvlink_one_sided"
+
+benchmark:
+  type: "vllm-bench"
+  isl: 8192
+  osl: 1024
+  concurrencies: "2048"
+  num_warmups: 256
\ No newline at end of file
diff --git a/recipes/vllm/deepseek-v4-pro/8k1k/disagg-gb200-7p1d-dep8-dep16-c4096-c8192.yaml b/recipes/vllm/deepseek-v4-pro/8k1k/disagg-gb200-7p1d-dep8-dep16-c4096-c8192.yaml
new file mode 100644
index 00000000..332e7b0f
--- /dev/null
+++ b/recipes/vllm/deepseek-v4-pro/8k1k/disagg-gb200-7p1d-dep8-dep16-c4096-c8192.yaml
@@ -0,0 +1,101 @@
+name: "svf-vllm-disagg-gb200-2p1d-dep8-dep16"
+model:
+  path: "deepseekv4-fp4"
+  container: "vllm/vllm-openai@sha256:d29a90b13bb9758821839dd810db9679055e8adf7c670df9f0a432f45f2488a5"
+  precision: "fp4"
+
+dynamo:
+  version: 1.0.2
+  install: true
+
+setup_script: vllm-container-deps.sh
+resources:
+  gpu_type: "gb200"
+  gpus_per_node: 4
+  prefill_nodes: 14
+  decode_nodes: 4
+  prefill_workers: 7
+  decode_workers: 1
+  gpus_per_prefill: 8
+  gpus_per_decode: 16
+frontend:
+  type: dynamo
+  enable_multiple_frontends: false
+backend:
+  type: vllm
+  connector: null
+  prefill_environment:
+    TILELANG_CLEANUP_TEMP_FILES: "1"
+    VLLM_USE_NCCL_SYMM_MEM: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_NVLS_ENABLE: "1"
+    VLLM_RANDOMIZE_DP_DUMMY_INPUTS: "1"
+    VLLM_MOE_ROUTING_SIMULATION_STRATEGY: "uniform_random"
+    VLLM_LOG_STATS_INTERVAL: "1"
+  decode_environment:
+    TILELANG_CLEANUP_TEMP_FILES: "1"
+    VLLM_USE_NCCL_SYMM_MEM: "1"
+    NCCL_CUMEM_ENABLE: "1"
+    NCCL_MNNVL_ENABLE: "1"
+    NCCL_NVLS_ENABLE: "1"
+    VLLM_RANDOMIZE_DP_DUMMY_INPUTS: "1"
+    VLLM_MOE_ROUTING_SIMULATION_STRATEGY: "uniform_random"
+    VLLM_LOG_STATS_INTERVAL: "1"
+  vllm_config:
+    prefill:
+      kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
+      served-model-name: "deepseek-ai/DeepSeek-V4-Pro"
+      kv-cache-dtype: "fp8"
+      tensor-parallel-size: 1
+      pipeline-parallel-size: 1
+      data-parallel-size: 8
+      data-parallel-rpc-port: 13345
+      enable-expert-parallel: true
+      enforce-eager: true
+      max-model-len: 16384
+      max-num-seqs: 16
+      max-num-batched-tokens: 32768
+      trust-remote-code: true
+      no-enable-prefix-caching: true
+      no-enable-flashinfer-autotune: true
+      no-async-scheduling: true
+      block-size: 256
+      gpu-memory-utilization: 0.8
+      no-disable-hybrid-kv-cache-manager: true
+      numa-bind: true
+      offload-group-size: 3
+      offload-num-in-group: 1
+      offload-prefetch-step: 2
+      tokenizer-mode: deepseek_v4
+      enable-ep-weight-filter: true
+    decode:
+      kv-transfer-config: '{"kv_connector": "NixlConnector", "kv_role": "kv_both"}'
+      served-model-name: "deepseek-ai/DeepSeek-V4-Pro"
+      kv-cache-dtype: "fp8"
+      tensor-parallel-size: 1
+      pipeline-parallel-size: 1
+      data-parallel-size: 16
+      data-parallel-rpc-port: 13345
+      enable-expert-parallel: true
+      max-model-len: 16384
+      max-num-seqs: 512
+      max-cudagraph-capture-size: 512
+      max-num-batched-tokens: 512
+      trust-remote-code: true
+      no-enable-prefix-caching: true
+      block-size: 256
+      compilation-config: '{"cudagraph_mode":"FULL_DECODE_ONLY","mode":0}'
+      gpu-memory-utilization: 0.9
+      stream-interval: 50
+      no-disable-hybrid-kv-cache-manager: true
+      tokenizer-mode: deepseek_v4
+      all2all-backend: "flashinfer_nvlink_one_sided"
+      enable-ep-weight-filter: true
+
+benchmark:
+  type: "vllm-bench"
+  isl: 8192
+  osl: 1024
+  concurrencies: "4096x8192"
+  num_warmups: 256
\ No newline at end of file