Can deep_ep run on environments with more than 160 ranks?

I noticed a restriction in /csrc/deep_ep.cpp:
EP_HOST_ASSERT(0 <= rank && rank < num_ranks &&
(num_ranks <= NUM_MAX_NVL_PEERS * NUM_MAX_RDMA_PEERS || low_latency_mode));

where NUM_MAX_NVL_PEERS = 8 and NUM_MAX_RDMA_PEERS = 20. This implies the rank count cannot exceed 160 (8*20).

I tested this on a 24-node cluster, and the assertion was triggered. Therefore, my question is:
Does deep_ep actually support training on clusters with more than 20 nodes? Or is there any misunderstanding in my interpretation?

Read csrc/deep_ep.cpp, focusing on EP_HOST_ASSERT and the NUM_MAX_NVL_PEERS and NUM_MAX_RDMA_PEERS limits. Reproduce the 24-node configuration or trace how rank counts are validated; done means establishing whether ranks above 160 are supported and documenting the supported behavior or agreed direction.

Written by the indexing model from the issue text.