/bin/sh: 1: /opt/maca/tools/cu-bridge/bin/nvcc: not found

使用沐曦官方镜像：sglang:0.5.9-maca.ai3.5.3.208-torch2.8-py312-ubuntu22.04-amd64 部署模型 Qwen3.5-9B 时，能够成功部署，但是报了下面的错误，/bin/sh: 1: /opt/maca/tools/cu-bridge/bin/nvcc: not found， 为什么沐曦的sglang会找nvidia的nvcc

[2026-06-03 10:24:38] INFO: Started server process [12085]
[2026-06-03 10:24:38] INFO: Waiting for application startup.
[2026-06-03 10:24:38] INFO: Application startup complete.
[2026-06-03 10:24:38] INFO: Uvicorn running on http://0.0.0.0:9100 (Press CTRL+C to quit)
[2026-06-03 10:24:39] INFO: 127.0.0.1:58588 - "GET /model_info HTTP/1.1" 200 OK
[2026-06-03 10:24:47 TP1] Failed to load JIT KV-Cache kernel with row_bytes=1024: ninja exited with status 1
stdout:
[1/2] /opt/maca/tools/cu-bridge/bin/nvcc --generate-dependencies-with-compile --dependency-output cuda_0.o.d -Xcompiler -fPIC -std=c++17 -O2 -gencode=arch=compute_80,code=sm_80 -std=c++20 -O3 --expt-relaxed-constexpr -I/opt/conda/lib/python3.12/site-packages/tvm_ffi/include -I/opt/conda/lib/python3.12/site-packages/tvm_ffi/include -I/opt/conda/lib/python3.12/site-packages/sglang/jit_kernel/include -c /root/.cache/tvm-ffi/sgl_kernel_jit_kvcache_1024_false_cb53493e06f7ab59/cuda.cu -o cuda_0.o
FAILED: cuda_0.o
/opt/maca/tools/cu-bridge/bin/nvcc --generate-dependencies-with-compile --dependency-output cuda_0.o.d -Xcompiler -fPIC -std=c++17 -O2 -gencode=arch=compute_80,code=sm_80 -std=c++20 -O3 --expt-relaxed-constexpr -I/opt/conda/lib/python3.12/site-packages/tvm_ffi/include -I/opt/conda/lib/python3.12/site-packages/tvm_ffi/include -I/opt/conda/lib/python3.12/site-packages/sglang/jit_kernel/include -c /root/.cache/tvm-ffi/sgl_kernel_jit_kvcache_1024_false_cb53493e06f7ab59/cuda.cu -o cuda_0.o
/bin/sh: 1: /opt/maca/tools/cu-bridge/bin/nvcc: not found
ninja: build stopped: subcommand failed.

[2026-06-03 10:24:47 TP0] Failed to load JIT KV-Cache kernel with row_bytes=1024: ninja exited with status 1
stdout:
[1/2] /opt/maca/tools/cu-bridge/bin/nvcc --generate-dependencies-with-compile --dependency-output cuda_0.o.d -Xcompiler -fPIC -std=c++17 -O2 -gencode=arch=compute_80,code=sm_80 -std=c++20 -O3 --expt-relaxed-constexpr -I/opt/conda/lib/python3.12/site-packages/tvm_ffi/include -I/opt/conda/lib/python3.12/site-packages/tvm_ffi/include -I/opt/conda/lib/python3.12/site-packages/sglang/jit_kernel/include -c /root/.cache/tvm-ffi/sgl_kernel_jit_kvcache_1024_false_cb53493e06f7ab59/cuda.cu -o cuda_0.o
FAILED: cuda_0.o
/opt/maca/tools/cu-bridge/bin/nvcc --generate-dependencies-with-compile --dependency-output cuda_0.o.d -Xcompiler -fPIC -std=c++17 -O2 -gencode=arch=compute_80,code=sm_80 -std=c++20 -O3 --expt-relaxed-constexpr -I/opt/conda/lib/python3.12/site-packages/tvm_ffi/include -I/opt/conda/lib/python3.12/site-packages/tvm_ffi/include -I/opt/conda/lib/python3.12/site-packages/sglang/jit_kernel/include -c /root/.cache/tvm-ffi/sgl_kernel_jit_kvcache_1024_false_cb53493e06f7ab59/cuda.cu -o cuda_0.o
/bin/sh: 1: /opt/maca/tools/cu-bridge/bin/nvcc: not found
ninja: build stopped: subcommand failed.

[2026-06-03 10:24:47 TP0] Prefill batch, #new-seq: 1, #new-token: 80, #cached-token: 0, full token usage: 0.00, mamba usage: 0.00, #running-req: 0, #queue-req: 0, input throughput (token/s): 0.00, cuda graph: False
[2026-06-03 10:24:48] INFO: 127.0.0.1:58590 - "POST /v1/chat/completions HTTP/1.1" 200 OK
[2026-06-03 10:24:48] The server is fired up and ready to roll!

尊敬的开发者您好，请参考developer.metax-tech.com/forum/t/fa-tie-qian-bi-kan-jing-xiang-shi-yong-wen-ti-ti-wen-mo-ban/267/ 详细描述您的操作步骤以及日志

1.服务器厂家:
2.沐曦GPU型号：c500
3.操作系统内核版本：沐曦官网提供的 docker 运行的sglang与用户本地os内核版本没啥关系
4.是否开启CPU虚拟化： 否
5.mx-smi回显：

6.docker info回显：

7.镜像版本：
8.启动容器命令：
docker run -itd \
--privileged --network=host --ipc=host --ulimit memlock=-1 \
--security-opt seccomp=unconfined \
--security-opt apparmor=unconfined \
--name Qwen3.5-9B \
-v /data/models/:/models/ \
cr.metax-tech.com/public-ai-release/maca/sglang:0.5.9-maca.ai3.5.3.208-torch2.8-py312-ubuntu22.04-amd64 bash

9.容器内执行命令：
python3 -m sglang.launch_server \
--host 0.0.0.0 --port 9100 \
--model-path /models/Qwen3.5-9B --served-model-name qwen3.5-9b \
--tensor-parallel-size 2 --mem-fraction-static 0.85 --context-length 40960 \
--trust-remote-code --enable-metrics --disable-cuda-graph

尊敬的开发者您好，请在容器内执行

ln -s /opt/maca/tools/cu-bridge/bin/cucc  /opt/maca/tools/cu-bridge/bin/nvcc