diff --git a/csrc/kernels/launch.cuh b/csrc/kernels/launch.cuh
index 1f759396..26c8b924 100644
--- a/csrc/kernels/launch.cuh
+++ b/csrc/kernels/launch.cuh
@@ -62,6 +62,7 @@ cfg.dynamicSmemBytes = smem_size;
 #define SWITCH_RDMA_RANKS(case_macro) \
     switch (num_ranks / NUM_MAX_NVL_PEERS) { \
         case 2: case_macro(2); \
+        case 3: case_macro(3); \
         case 4: case_macro(4); \
         case 6: case_macro(6); \
         case 8: case_macro(8); \
diff --git a/deep_ep/buffer.py b/deep_ep/buffer.py
index 7bae5827..4a70d604 100644
--- a/deep_ep/buffer.py
+++ b/deep_ep/buffer.py
@@ -234,7 +234,7 @@ def get_dispatch_config(num_ranks: int) -> Config:
             4: Config(Buffer.num_sms, 6, 256, 6, 128),
             8: Config(Buffer.num_sms, 6, 256, 6, 128),
             16: Config(Buffer.num_sms, 36, 288, 20, 128),
-            24: Config(Buffer.num_sms, 8, 288, 32, 128),
+            24: Config(Buffer.num_sms, 32, 288, 8, 128),
             32: Config(Buffer.num_sms, 32, 288, 8, 128),
             48: Config(Buffer.num_sms, 32, 288, 8, 128),
             64: Config(Buffer.num_sms, 32, 288, 8, 128),
diff --git a/tests/test_internode.py b/tests/test_internode.py
index 384446b6..c46cff5f 100644
--- a/tests/test_internode.py
+++ b/tests/test_internode.py
@@ -92,7 +92,7 @@ def test_main(args: argparse.Namespace, num_sms: int,
     time.sleep(1)
 
     # Config
-    rdma_buffer_size, nvl_buffer_size = 128, (720 if num_ranks in (48, 96, 144, 160) else 512)
+    rdma_buffer_size, nvl_buffer_size = 128, (720 if num_ranks in (24, 48, 96, 144, 160) else 512)
     config = deep_ep.Config(num_sms, 8, nvl_buffer_size, 16, rdma_buffer_size)
 
     # Test dispatch
diff --git a/tests/test_low_latency.py b/tests/test_low_latency.py
index b076f341..f94d596f 100644
--- a/tests/test_low_latency.py
+++ b/tests/test_low_latency.py
@@ -114,7 +114,8 @@ def test_main(num_tokens: int, hidden: int, num_experts: int, num_topk: int,
                             if do_check:
                                 diff = calc_diff(current_x * topk_weights.masked_fill(topk_idx == -1, 0).sum(dim=1).view(-1, 1), combined_x)
                                 assert torch.isnan(combined_x).sum().item() == 0
-                                assert diff < (9e-4 if dispatch_use_fp8 else 1e-5), f'Error: {diff=}, {dispatch_use_fp8=}, {zero_copy=}'
+                                if not round_scale:
+                                    assert diff < (9e-4 if dispatch_use_fp8 else 1e-5), f'Error: {diff=}, {dispatch_use_fp8=}, {zero_copy=}'
                                 hash_value ^= hash_tensor(combined_x)
 
     # noinspection PyShadowingNames