diff --git a/.github/configs/amd-master.yaml b/.github/configs/amd-master.yaml
index f2e3252866..7ff2b96576 100644
--- a/.github/configs/amd-master.yaml
+++ b/.github/configs/amd-master.yaml
@@ -1706,25 +1706,6 @@ dsr1-fp4-mi355x-sglang-disagg-mtp:
           - "DECODE_MTP_SIZE=1"
       
 
-dsv4-fp8-mi355x-sglang:
-  image: rocm/sgl-dev:deepseek-v4-mi35x
-  model: sgl-project/DeepSeek-V4-Pro-FP8
-  model-prefix: dsv4
-  runner: mi355x
-  precision: fp8
-  framework: sglang
-  multinode: false
-  scenarios:
-    fixed-seq-len:
-    - isl: 1024
-      osl: 1024
-      search-space:
-      - { tp: 8, conc-start: 4, conc-end: 64 }
-    - isl: 8192
-      osl: 1024
-      search-space:
-      - { tp: 8, conc-start: 4, conc-end: 64 }
-
 # DSv4-Pro FP4 on MI355X via SGLang. Uses a rocm720 mi35x image built off the
 # amd/deepseek_v4 branch in sgl-project/sglang; the SHA is encoded in the
 # image tag, so bumping sglang is just an image tag bump here. Sweeps
diff --git a/benchmarks/single_node/dsv4_fp8_mi355x.sh b/benchmarks/single_node/dsv4_fp8_mi355x.sh
deleted file mode 100755
index 7ee626e87b..0000000000
--- a/benchmarks/single_node/dsv4_fp8_mi355x.sh
+++ /dev/null
@@ -1,118 +0,0 @@
-#!/usr/bin/env bash
-
-source "$(dirname "$0")/../benchmark_lib.sh"
-
-check_env_vars \
-    MODEL \
-    TP \
-    CONC \
-    ISL \
-    OSL \
-    RANDOM_RANGE_RATIO \
-    RESULT_FILENAME
-
-if [[ -n "$SLURM_JOB_ID" ]]; then
-  echo "JOB $SLURM_JOB_ID running on $SLURMD_NODENAME"
-fi
-
-if [[ "$MODEL" != /* ]]; then hf download "$MODEL"; fi
-
-# Transformers in the container doesn't recognize the `deepseek_v4` model_type.
-# PR #23608's fallback in hf_transformers_utils.get_config tries to handle this
-# by writing a patched config to /tmp, but in practice isn't catching the error
-# in this image. Patch the cached config.json directly instead: set model_type
-# to `deepseek_v3` so AutoConfig.from_pretrained succeeds, and keep
-# architectures=['DeepseekV4ForCausalLM'] so SGLang dispatches to its native
-# DSv4 model class (python/sglang/srt/models/deepseek_v4.py).
-python3 << PYEOF
-import json
-from huggingface_hub import hf_hub_download
-path = hf_hub_download(repo_id="$MODEL", filename="config.json")
-with open(path) as f:
-    config = json.load(f)
-if config.get("model_type") == "deepseek_v4":
-    config["model_type"] = "deepseek_v3"
-    with open(path, "w") as f:
-        json.dump(config, f, indent=2)
-    print(f"Patched {path}: model_type deepseek_v4 -> deepseek_v3")
-else:
-    print(f"No patch needed: model_type is {config.get('model_type')!r}")
-PYEOF
-
-# DSv4-specific SGLang env vars (from sgl-project/sglang#23608)
-export SGLANG_OPT_USE_FUSED_COMPRESS=false
-export SGLANG_OPT_USE_OLD_COMPRESSOR=true
-export SGLANG_OPT_USE_TILELANG_SWA_PREPARE=false
-export SGLANG_OPT_USE_JIT_KERNEL_FUSED_TOPK=false
-export SGLANG_OPT_USE_FUSED_HASH_TOPK=false
-export SGLANG_HACK_FLASHMLA_BACKEND=torch
-export SGLANG_OPT_DEEPGEMM_HC_PRENORM=false
-export SGLANG_OPT_USE_TILELANG_MHC_PRE=false
-export SGLANG_OPT_USE_TILELANG_MHC_POST=false
-export SGLANG_ENABLE_THINKING=1
-export SGLANG_USE_AITER=1
-export SGLANG_USE_ROCM700A=1
-export SGLANG_TOPK_TRANSFORM_512_TORCH=1
-export SGLANG_FP8_PAGED_MQA_LOGITS_TORCH=1
-export SGLANG_DSV4_FP4_EXPERTS=false
-export SGLANG_OPT_DPSK_V4_RADIX=0
-export SGLANG_OPT_USE_OVERLAP_STORE_CACHE=false
-export SGLANG_OPT_USE_FUSED_STORE_CACHE=false
-export SGLANG_FORCE_TRITON_MOE_FP8=1
-
-SERVER_LOG=/workspace/server.log
-PORT=${PORT:-8888}
-
-EVAL_CONTEXT_ARGS=""
-if [ "${EVAL_ONLY}" = "true" ]; then
-    setup_eval_context
-    EVAL_CONTEXT_ARGS="--context-length $EVAL_MAX_MODEL_LEN"
-fi
-# Start GPU monitoring (power, temperature, clocks every second)
-start_gpu_monitor
-
-python3 -m sglang.launch_server \
-    --model-path $MODEL \
-    --host=0.0.0.0 \
-    --port $PORT \
-    --tensor-parallel-size $TP \
-    --dp $TP \
-    --enable-dp-attention \
-    --trust-remote-code \
-    --disable-radix-cache \
-    --attention-backend compressed \
-    --max-running-request 256 \
-    --page-size 256 \
-    --chunked-prefill-size 8192 \
-    --disable-shared-experts-fusion \
-    --disable-cuda-graph \
-    --tool-call-parser deepseekv4 \
-    --reasoning-parser deepseek-v4 \
-    --watchdog-timeout 1800 $EVAL_CONTEXT_ARGS > $SERVER_LOG 2>&1 &
-
-SERVER_PID=$!
-
-# Wait for server to be ready
-wait_for_server_ready --port "$PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID"
-
-run_benchmark_serving \
-    --model "$MODEL" \
-    --port "$PORT" \
-    --backend vllm \
-    --input-len "$ISL" \
-    --output-len "$OSL" \
-    --random-range-ratio "$RANDOM_RANGE_RATIO" \
-    --num-prompts "$((CONC * 10))" \
-    --max-concurrency "$CONC" \
-    --result-filename "$RESULT_FILENAME" \
-    --result-dir /workspace/
-
-# After throughput, run evaluation only if RUN_EVAL is true
-if [ "${RUN_EVAL}" = "true" ]; then
-    run_eval --framework lm-eval --port "$PORT"
-    append_lm_eval_summary
-fi
-
-# Stop GPU monitoring
-stop_gpu_monitor
-set +x