Does DeepEP support sm86?(4A6000 without NVL)

[ziyuhuang123]

Hello DeepEP Team,

System Environment
GPU: 4x NVIDIA A6000 (Ampere Architecture, Compute Capability sm_86)

Interconnect: GPUs are connected via PCIe (no NVLink).

Problem Description
export TORCH_CUDA_ARCH_LIST="8.6"
export DISABLE_SM90_FEATURES="1"
export NVSHMEM_DIR=$(...)
export CPLUS_INCLUDE_PATH=$CONDA_PREFIX/include
export LDFLAGS="-L/usr/local/cuda/lib64/stubs"

python setup.py install

** Error **

adding license file 'LICENSE'
writing manifest file 'deep_ep.egg-info/SOURCES.txt'
Copying deep_ep.egg-info to /home/zyhuang/miniconda3/envs/deepep_env/lib/python3.10/site-packages/deep_ep-1.2.1+9249c25-py3.10.egg-info
running install_scripts
(deepep_env) ada6000-02% python
Python 3.10.19 | packaged by conda-forge | (main, Oct 22 2025, 22:29:10) [GCC 14.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import deep_ep
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/zyhuang/temp_can/distributed/DeepEP/deep_ep/__init__.py", line 3, in <module>
    from .utils import EventOverlap
  File "/home/zyhuang/temp_can/distributed/DeepEP/deep_ep/utils.py", line 7, in <module>
    from deep_ep_cpp import EventHandle
ImportError: /home/zyhuang/miniconda3/envs/deepep_env/lib/python3.10/site-packages/deep_ep_cpp.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN7deep_ep12internode_ll17query_mask_bufferEPiiS1_P11CUstream_st

====> I can install, but can not import

[sphish]

Normal kernels do not support; low‑latency kernels might support your system.

The issue you’re encountering is that you need to specify the correct TORCH_CUDA_ARCH_LIST during installation.

[chenhongyu2048]

same error ImportError: /root/miniconda3/envs/py310/lib/python3.10/site-packages/deep_ep_cpp.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN7deep_ep12internode_ll17query_mask_bufferEPiiS1_P11CUstream_st
I install it with flag TORCH_CUDA_ARCH_LIST=8.0 DISABLE_SM90_FEATURES=1 on L20*8 server

[chenhongyu2048]

seems this is because in setup.py, deep_ep disable internode and low-latency kernels, but in some others code these kernels are used