diff --git a/modules/sdnq/triton_mm.py b/modules/sdnq/triton_mm.py
index 4cbf01b4e..d2acdb9aa 100644
--- a/modules/sdnq/triton_mm.py
+++ b/modules/sdnq/triton_mm.py
@@ -7,6 +7,7 @@ matmul_configs we use takes AMD and Intel into consideration too.
 SDNQ Triton configs can outperform RocBLAS and OneDNN.
 """
 
+import os
 import math
 import torch
 
@@ -14,15 +15,15 @@ import triton
 import triton.language as tl
 
 
-min_block_size = 64
+min_block_size = int(os.environ.get("SDNQ_TRITON_MM_MIN_BLOCK_SIZE", "64"))
 matmul_configs = [
     triton.Config({'BLOCK_SIZE_M': BM, 'BLOCK_SIZE_N': BN, "BLOCK_SIZE_K": BK, "GROUP_SIZE_M": GM}, num_warps=w, num_stages=s)
-    for BM in [64, 128, 256]
-    for BN in [64, 128, 256]
-    for BK in [64, 128]
-    for GM in [2, 4, 8]
-    for w in [2, 4, 8]
-    for s in [2]
+    for BM in [int(BM) for BM in os.environ.get("SDNQ_TRITON_MM_BLOCK_SIZE_M_LIST", "64,128,256").replace(" ","").split(",")]
+    for BN in [int(BN) for BN in os.environ.get("SDNQ_TRITON_MM_BLOCK_SIZE_N_LIST", "64,128,256").replace(" ","").split(",")]
+    for BK in [int(BK) for BK in os.environ.get("SDNQ_TRITON_MM_BLOCK_SIZE_K_LIST", "64,128").replace(" ","").split(",")]
+    for GM in [int(GM) for GM in os.environ.get("SDNQ_TRITON_MM_GROUP_SIZE_M_LIST", "2,4,8").replace(" ","").split(",")]
+    for w in [int(w) for w in os.environ.get("SDNQ_TRITON_MM_NUM_WARPS_LIST", "2,4,8").replace(" ","").split(",")]
+    for s in [int(s) for s in os.environ.get("SDNQ_TRITON_MM_NUM_STAGES_LIST", "2").replace(" ","").split(",")]
 ]