diff --git a/csrc/quantization/cutlass_w8a8/scaled_mm_c2x.cu b/csrc/quantization/cutlass_w8a8/scaled_mm_c2x.cu
index d26c43de522c9..aac4900f933a7 100644
--- a/csrc/quantization/cutlass_w8a8/scaled_mm_c2x.cu
+++ b/csrc/quantization/cutlass_w8a8/scaled_mm_c2x.cu
@@ -4,7 +4,8 @@
 
 #include "scaled_mm_c2x.cuh"
 #include "scaled_mm_c2x_sm80_dispatch.cuh"
-#include "scaled_mm_c2x_sm89_dispatch.cuh"
+#include "scaled_mm_c2x_sm89_fp8_dispatch.cuh"
+#include "scaled_mm_c2x_sm89_int8_dispatch.cuh"
 
 /*
    This file defines quantized GEMM operations using the CUTLASS 2.x API, for
@@ -98,25 +99,17 @@ template <template <typename, typename> typename Epilogue,
 void cutlass_scaled_mm_sm89_epilogue(torch::Tensor& out, torch::Tensor const& a,
                                      torch::Tensor const& b,
                                      EpilogueArgs&&... epilogue_args) {
-  using TileShape = typename cutlass::gemm::GemmShape<128, 128, 64>;
-  using WarpShape = typename cutlass::gemm::GemmShape<64, 64, 64>;
-  using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
-
   if (a.dtype() == torch::kInt8) {
     TORCH_CHECK(b.dtype() == torch::kInt8);
 
     if (out.dtype() == torch::kBFloat16) {
-      return vllm::cutlass_gemm_caller<
-          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
-                                int8_t, cutlass::bfloat16_t, Epilogue,
-                                TileShape, WarpShape, InstructionShape, 5>>(
+      return vllm::cutlass_gemm_sm89_int8_dispatch<int8_t, cutlass::bfloat16_t,
+                                                   Epilogue>(
           out, a, b, std::forward<EpilogueArgs>(epilogue_args)...);
     } else {
       assert(out.dtype() == torch::kFloat16);
-      return vllm::cutlass_gemm_caller<
-          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
-                                int8_t, cutlass::half_t, Epilogue, TileShape,
-                                WarpShape, InstructionShape, 5>>(
+      return vllm::cutlass_gemm_sm89_int8_dispatch<int8_t, cutlass::half_t,
+                                                   Epilogue>(
           out, a, b, std::forward<EpilogueArgs>(epilogue_args)...);
     }
   } else {
@@ -124,13 +117,13 @@ void cutlass_scaled_mm_sm89_epilogue(torch::Tensor& out, torch::Tensor const& a,
     TORCH_CHECK(b.dtype() == torch::kFloat8_e4m3fn);
 
     if (out.dtype() == torch::kBFloat16) {
-      return vllm::cutlass_gemm_sm89_dispatch<cutlass::float_e4m3_t,
-                                              cutlass::bfloat16_t, Epilogue>(
+      return vllm::cutlass_gemm_sm89_fp8_dispatch<
+          cutlass::float_e4m3_t, cutlass::bfloat16_t, Epilogue>(
           out, a, b, std::forward<EpilogueArgs>(epilogue_args)...);
     } else {
       TORCH_CHECK(out.dtype() == torch::kFloat16);
-      return vllm::cutlass_gemm_sm89_dispatch<cutlass::float_e4m3_t,
-                                              cutlass::half_t, Epilogue>(
+      return vllm::cutlass_gemm_sm89_fp8_dispatch<cutlass::float_e4m3_t,
+                                                  cutlass::half_t, Epilogue>(
           out, a, b, std::forward<EpilogueArgs>(epilogue_args)...);
     }
   }
diff --git a/csrc/quantization/cutlass_w8a8/scaled_mm_c2x_sm89_dispatch.cuh b/csrc/quantization/cutlass_w8a8/scaled_mm_c2x_sm89_fp8_dispatch.cuh
similarity index 89%
rename from csrc/quantization/cutlass_w8a8/scaled_mm_c2x_sm89_dispatch.cuh
rename to csrc/quantization/cutlass_w8a8/scaled_mm_c2x_sm89_fp8_dispatch.cuh
index c9ed3ed67171e..4e82c99c3af31 100644
--- a/csrc/quantization/cutlass_w8a8/scaled_mm_c2x_sm89_dispatch.cuh
+++ b/csrc/quantization/cutlass_w8a8/scaled_mm_c2x_sm89_fp8_dispatch.cuh
@@ -4,7 +4,7 @@
 #include "cutlass/float8.h"
 
 /**
- * This file defines Gemm kernel configurations for SM89 based on the Gemm
+ * This file defines Gemm kernel configurations for SM89 (FP8) based on the Gemm
  * shape.
  */
 
@@ -12,7 +12,7 @@ namespace vllm {
 
 template <typename InType, typename OutType,
           template <typename, typename> typename Epilogue>
-struct sm89_fallback_gemm {
+struct sm89_fp8_fallback_gemm {
   // Shared Memory required by this Gemm - 61440 bytes
   static_assert(std::is_same<InType, cutlass::float_e4m3_t>());
   using TileShape = typename cutlass::gemm::GemmShape<64, 128, 64>;
@@ -25,7 +25,7 @@ struct sm89_fallback_gemm {
                       FP8MathOperator>;
 };
 
-struct sm89_config_default {
+struct sm89_fp8_config_default {
   // M in (256, inf)
   using WarpShape = typename cutlass::gemm::GemmShape<64, 64, 64>;
   using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
@@ -40,7 +40,8 @@ struct sm89_config_default {
     TORCH_CHECK(a.dtype() == torch::kFloat8_e4m3fn);
 
     using FallbackGemm =
-        typename sm89_fallback_gemm<InType, OutType, Epilogue>::Cutlass2xGemm;
+        typename sm89_fp8_fallback_gemm<InType, OutType,
+                                        Epilogue>::Cutlass2xGemm;
 
     uint32_t const n = out.size(1);
     uint32_t const np2 = next_pow_2(n);
@@ -74,7 +75,7 @@ struct sm89_config_default {
   }
 };
 
-struct sm89_config_M256 {
+struct sm89_fp8_config_M256 {
   // M in (128, 256]
   using WarpShape = typename cutlass::gemm::GemmShape<64, 64, 64>;
   using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
@@ -89,7 +90,8 @@ struct sm89_config_M256 {
     TORCH_CHECK(a.dtype() == torch::kFloat8_e4m3fn);
 
     using FallbackGemm =
-        typename sm89_fallback_gemm<InType, OutType, Epilogue>::Cutlass2xGemm;
+        typename sm89_fp8_fallback_gemm<InType, OutType,
+                                        Epilogue>::Cutlass2xGemm;
 
     uint32_t const n = out.size(1);
     uint32_t const np2 = next_pow_2(n);
@@ -114,7 +116,7 @@ struct sm89_config_M256 {
   }
 };
 
-struct sm89_config_M128 {
+struct sm89_fp8_config_M128 {
   // M in (64, 128]
   using WarpShape = typename cutlass::gemm::GemmShape<64, 64, 64>;
   using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
@@ -129,7 +131,8 @@ struct sm89_config_M128 {
     TORCH_CHECK(a.dtype() == torch::kFloat8_e4m3fn);
 
     using FallbackGemm =
-        typename sm89_fallback_gemm<InType, OutType, Epilogue>::Cutlass2xGemm;
+        typename sm89_fp8_fallback_gemm<InType, OutType,
+                                        Epilogue>::Cutlass2xGemm;
 
     uint32_t const n = out.size(1);
     uint32_t const np2 = next_pow_2(n);
@@ -163,7 +166,7 @@ struct sm89_config_M128 {
   }
 };
 
-struct sm89_config_M64 {
+struct sm89_fp8_config_M64 {
   // M in (32, 64]
   using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
 
@@ -176,7 +179,8 @@ struct sm89_config_M64 {
     TORCH_CHECK(a.dtype() == torch::kFloat8_e4m3fn);
 
     using FallbackGemm =
-        typename sm89_fallback_gemm<InType, OutType, Epilogue>::Cutlass2xGemm;
+        typename sm89_fp8_fallback_gemm<InType, OutType,
+                                        Epilogue>::Cutlass2xGemm;
 
     uint32_t const n = out.size(1);
     uint32_t const np2 = next_pow_2(n);
@@ -215,7 +219,7 @@ struct sm89_config_M64 {
   }
 };
 
-struct sm89_config_M32 {
+struct sm89_fp8_config_M32 {
   // M in (16, 32]
   using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
   using FP8MathOperator = typename cutlass::arch::OpMultiplyAddFastAccum;
@@ -229,7 +233,8 @@ struct sm89_config_M32 {
     TORCH_CHECK(a.dtype() == torch::kFloat8_e4m3fn);
 
     using FallbackGemm =
-        typename sm89_fallback_gemm<InType, OutType, Epilogue>::Cutlass2xGemm;
+        typename sm89_fp8_fallback_gemm<InType, OutType,
+                                        Epilogue>::Cutlass2xGemm;
 
     uint32_t const n = out.size(1);
     uint32_t const np2 = next_pow_2(n);
@@ -265,7 +270,7 @@ struct sm89_config_M32 {
   }
 };
 
-struct sm89_config_M16 {
+struct sm89_fp8_config_M16 {
   // M in [1, 16]
   using WarpShape = typename cutlass::gemm::GemmShape<16, 64, 64>;
   using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
@@ -281,7 +286,8 @@ struct sm89_config_M16 {
     TORCH_CHECK(a.dtype() == torch::kFloat8_e4m3fn);
 
     using FallbackGemm =
-        typename sm89_fallback_gemm<InType, OutType, Epilogue>::Cutlass2xGemm;
+        typename sm89_fp8_fallback_gemm<InType, OutType,
+                                        Epilogue>::Cutlass2xGemm;
 
     uint32_t const n = out.size(1);
     uint32_t const np2 = next_pow_2(n);
@@ -320,10 +326,10 @@ struct sm89_config_M16 {
 template <typename InType, typename OutType,
           template <typename, typename> typename Epilogue,
           typename... EpilogueArgs>
-inline void cutlass_gemm_sm89_dispatch(torch::Tensor& out,
-                                       torch::Tensor const& a,
-                                       torch::Tensor const& b,
-                                       EpilogueArgs&&... args) {
+inline void cutlass_gemm_sm89_fp8_dispatch(torch::Tensor& out,
+                                           torch::Tensor const& a,
+                                           torch::Tensor const& b,
+                                           EpilogueArgs&&... args) {
   static_assert(std::is_same<InType, cutlass::float_e4m3_t>());
   TORCH_CHECK(a.dtype() == torch::kFloat8_e4m3fn);
   TORCH_CHECK(b.dtype() == torch::kFloat8_e4m3fn);
@@ -334,27 +340,27 @@ inline void cutlass_gemm_sm89_dispatch(torch::Tensor& out,
 
   if (mp2 <= 16) {
     // M in [1, 16]
-    return sm89_config_M16::dispatch<InType, OutType, Epilogue>(
+    return sm89_fp8_config_M16::dispatch<InType, OutType, Epilogue>(
         out, a, b, std::forward<EpilogueArgs>(args)...);
   } else if (mp2 <= 32) {
     // M in (16, 32]
-    return sm89_config_M32::dispatch<InType, OutType, Epilogue>(
+    return sm89_fp8_config_M32::dispatch<InType, OutType, Epilogue>(
         out, a, b, std::forward<EpilogueArgs>(args)...);
   } else if (mp2 <= 64) {
     // M in (32, 64]
-    return sm89_config_M64::dispatch<InType, OutType, Epilogue>(
+    return sm89_fp8_config_M64::dispatch<InType, OutType, Epilogue>(
         out, a, b, std::forward<EpilogueArgs>(args)...);
   } else if (mp2 <= 128) {
     // M in (64, 128]
-    return sm89_config_M128::dispatch<InType, OutType, Epilogue>(
+    return sm89_fp8_config_M128::dispatch<InType, OutType, Epilogue>(
         out, a, b, std::forward<EpilogueArgs>(args)...);
   } else if (mp2 <= 256) {
     // M in (128, 256]
-    return sm89_config_M256::dispatch<InType, OutType, Epilogue>(
+    return sm89_fp8_config_M256::dispatch<InType, OutType, Epilogue>(
         out, a, b, std::forward<EpilogueArgs>(args)...);
   } else {
     // M in (256, inf)
-    return sm89_config_default::dispatch<InType, OutType, Epilogue>(
+    return sm89_fp8_config_default::dispatch<InType, OutType, Epilogue>(
         out, a, b, std::forward<EpilogueArgs>(args)...);
   }
 }
diff --git a/csrc/quantization/cutlass_w8a8/scaled_mm_c2x_sm89_int8_dispatch.cuh b/csrc/quantization/cutlass_w8a8/scaled_mm_c2x_sm89_int8_dispatch.cuh
new file mode 100644
index 0000000000000..95723b31ca3ce
--- /dev/null
+++ b/csrc/quantization/cutlass_w8a8/scaled_mm_c2x_sm89_int8_dispatch.cuh
@@ -0,0 +1,353 @@
+#pragma once
+
+#include "scaled_mm_c2x.cuh"
+
+/**
+ * This file defines Gemm kernel configurations for SM89 (int8) based on the
+ * Gemm shape.
+ */
+
+namespace vllm {
+
+template <typename InType, typename OutType,
+          template <typename, typename> typename Epilogue>
+struct sm89_int8_fallback_gemm {
+  // Shared mem requirement : 61440
+  static_assert(std::is_same<InType, int8_t>());
+  using TileShape = cutlass::gemm::GemmShape<32, 64, 128>;
+  using WarpShape = cutlass::gemm::GemmShape<16, 64, 64>;
+  using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
+  static int32_t const MainLoopStages = 5;
+
+  using Cutlass2xGemm =
+      cutlass_2x_gemm<cutlass::arch::Sm89, enable_sm89_to_sm90, InType, OutType,
+                      Epilogue, TileShape, WarpShape, InstructionShape, 5>;
+};
+
+struct sm89_int8_config_default {
+  // M in (256, inf)
+  using WarpShape = typename cutlass::gemm::GemmShape<64, 64, 64>;
+  using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
+
+  template <typename InType, typename OutType,
+            template <typename, typename> typename Epilogue,
+            typename... EpilogueArgs>
+  static void dispatch(torch::Tensor& out, torch::Tensor const& a,
+                       torch::Tensor const& b, EpilogueArgs&&... args) {
+    static_assert(std::is_same<InType, int8_t>());
+    TORCH_CHECK(a.dtype() == torch::kInt8);
+
+    using FallbackGemm =
+        typename sm89_int8_fallback_gemm<InType, OutType,
+                                         Epilogue>::Cutlass2xGemm;
+
+    uint32_t const n = out.size(1);
+    uint32_t const np2 = next_pow_2(n);
+
+    if (np2 <= 4096) {
+      using TileShape = cutlass::gemm::GemmShape<128, 128, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 5>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else if (np2 <= 8192) {
+      using TileShape = cutlass::gemm::GemmShape<256, 128, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 3>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else if (np2 <= 16384) {
+      using TileShape = cutlass::gemm::GemmShape<128, 128, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 5>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else {
+      using TileShape = cutlass::gemm::GemmShape<256, 128, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 3>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    }
+  }
+};
+
+struct sm89_int8_config_M256 {
+  // M in (128, 256]
+  using WarpShape = typename cutlass::gemm::GemmShape<64, 64, 64>;
+  using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
+
+  template <typename InType, typename OutType,
+            template <typename, typename> typename Epilogue,
+            typename... EpilogueArgs>
+  static void dispatch(torch::Tensor& out, torch::Tensor const& a,
+                       torch::Tensor const& b, EpilogueArgs&&... args) {
+    static_assert(std::is_same<InType, int8_t>());
+    TORCH_CHECK(a.dtype() == torch::kInt8);
+
+    using FallbackGemm =
+        typename sm89_int8_fallback_gemm<InType, OutType,
+                                         Epilogue>::Cutlass2xGemm;
+
+    uint32_t const n = out.size(1);
+    uint32_t const np2 = next_pow_2(n);
+
+    if (np2 <= 4096) {
+      using TileShape = cutlass::gemm::GemmShape<64, 128, 128>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 3>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else if (np2 <= 8192) {
+      using TileShape = cutlass::gemm::GemmShape<128, 128, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 5>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else if (np2 <= 16384) {
+      using TileShape = cutlass::gemm::GemmShape<256, 128, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 3>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else {
+      using TileShape = cutlass::gemm::GemmShape<128, 128, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 5>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    }
+  }
+};
+
+struct sm89_int8_config_M128 {
+  // M in (64, 128]
+  using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
+
+  template <typename InType, typename OutType,
+            template <typename, typename> typename Epilogue,
+            typename... EpilogueArgs>
+  static void dispatch(torch::Tensor& out, torch::Tensor const& a,
+                       torch::Tensor const& b, EpilogueArgs&&... args) {
+    static_assert(std::is_same<InType, int8_t>());
+    TORCH_CHECK(a.dtype() == torch::kInt8);
+
+    using FallbackGemm =
+        typename sm89_int8_fallback_gemm<InType, OutType,
+                                         Epilogue>::Cutlass2xGemm;
+
+    uint32_t const n = out.size(1);
+    uint32_t const np2 = next_pow_2(n);
+
+    if (np2 <= 8192) {
+      using TileShape = cutlass::gemm::GemmShape<64, 128, 128>;
+      using WarpShape = cutlass::gemm::GemmShape<64, 64, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 3>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else if (np2 <= 16384) {
+      using TileShape = cutlass::gemm::GemmShape<128, 128, 64>;
+      using WarpShape = cutlass::gemm::GemmShape<64, 64, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 5>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else {
+      using TileShape = cutlass::gemm::GemmShape<64, 64, 128>;
+      using WarpShape = cutlass::gemm::GemmShape<32, 64, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 5>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    }
+  }
+};
+
+struct sm89_int8_config_M64 {
+  // M in (32, 64]
+  using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
+
+  template <typename InType, typename OutType,
+            template <typename, typename> typename Epilogue,
+            typename... EpilogueArgs>
+  static void dispatch(torch::Tensor& out, torch::Tensor const& a,
+                       torch::Tensor const& b, EpilogueArgs&&... args) {
+    static_assert(std::is_same<InType, int8_t>());
+    TORCH_CHECK(a.dtype() == torch::kInt8);
+
+    using FallbackGemm =
+        typename sm89_int8_fallback_gemm<InType, OutType,
+                                         Epilogue>::Cutlass2xGemm;
+
+    uint32_t const n = out.size(1);
+    uint32_t const np2 = next_pow_2(n);
+
+    if (np2 <= 8192) {
+      using TileShape = cutlass::gemm::GemmShape<64, 64, 128>;
+      using WarpShape = cutlass::gemm::GemmShape<32, 64, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 5>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else {
+      using TileShape = cutlass::gemm::GemmShape<64, 128, 128>;
+      using WarpShape = cutlass::gemm::GemmShape<64, 64, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 3>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    }
+  }
+};
+
+struct sm89_int8_config_M32 {
+  // M in (16, 32]
+  using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
+
+  template <typename InType, typename OutType,
+            template <typename, typename> typename Epilogue,
+            typename... EpilogueArgs>
+  static void dispatch(torch::Tensor& out, torch::Tensor const& a,
+                       torch::Tensor const& b, EpilogueArgs&&... args) {
+    static_assert(std::is_same<InType, int8_t>());
+    TORCH_CHECK(a.dtype() == torch::kInt8);
+
+    using FallbackGemm =
+        typename sm89_int8_fallback_gemm<InType, OutType,
+                                         Epilogue>::Cutlass2xGemm;
+
+    uint32_t const n = out.size(1);
+    uint32_t const np2 = next_pow_2(n);
+
+    if (np2 <= 8192) {
+      using TileShape = cutlass::gemm::GemmShape<32, 64, 128>;
+      using WarpShape = cutlass::gemm::GemmShape<16, 64, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 5>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else {
+      using TileShape = cutlass::gemm::GemmShape<32, 128, 128>;
+      using WarpShape = cutlass::gemm::GemmShape<32, 64, 64>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 4>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    }
+  }
+};
+
+struct sm89_int8_config_M16 {
+  // M in [1, 16]
+  using WarpShape = typename cutlass::gemm::GemmShape<16, 64, 64>;
+  using InstructionShape = typename cutlass::gemm::GemmShape<16, 8, 32>;
+
+  template <typename InType, typename OutType,
+            template <typename, typename> typename Epilogue,
+            typename... EpilogueArgs>
+  static void dispatch(torch::Tensor& out, torch::Tensor const& a,
+                       torch::Tensor const& b, EpilogueArgs&&... args) {
+    static_assert(std::is_same<InType, int8_t>());
+    TORCH_CHECK(a.dtype() == torch::kInt8);
+
+    using FallbackGemm =
+        typename sm89_int8_fallback_gemm<InType, OutType,
+                                         Epilogue>::Cutlass2xGemm;
+
+    uint32_t const n = out.size(1);
+    uint32_t const np2 = next_pow_2(n);
+
+    if (np2 <= 8192) {
+      using TileShape = cutlass::gemm::GemmShape<16, 64, 128>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 5>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    } else {
+      using TileShape = cutlass::gemm::GemmShape<16, 128, 128>;
+
+      return vllm::fallback_cutlass_gemm_caller<
+          vllm::cutlass_2x_gemm<cutlass::arch::Sm89, vllm::enable_sm89_to_sm90,
+                                InType, OutType, Epilogue, TileShape, WarpShape,
+                                InstructionShape, 4>,
+          FallbackGemm>(out, a, b, std::forward<EpilogueArgs>(args)...);
+    }
+  }
+};
+
+template <typename InType, typename OutType,
+          template <typename, typename> typename Epilogue,
+          typename... EpilogueArgs>
+inline void cutlass_gemm_sm89_int8_dispatch(torch::Tensor& out,
+                                            torch::Tensor const& a,
+                                            torch::Tensor const& b,
+                                            EpilogueArgs&&... args) {
+  static_assert(std::is_same<InType, int8_t>());
+  TORCH_CHECK(a.dtype() == torch::kInt8);
+  TORCH_CHECK(b.dtype() == torch::kInt8);
+
+  uint32_t const m = a.size(0);
+  uint32_t const mp2 =
+      std::max(static_cast<uint32_t>(32), next_pow_2(m));  // next power of 2
+
+  if (mp2 <= 16) {
+    // M in [1, 16]
+    return sm89_int8_config_M16::dispatch<InType, OutType, Epilogue>(
+        out, a, b, std::forward<EpilogueArgs>(args)...);
+  } else if (mp2 <= 32) {
+    // M in (16, 32]
+    return sm89_int8_config_M32::dispatch<InType, OutType, Epilogue>(
+        out, a, b, std::forward<EpilogueArgs>(args)...);
+  } else if (mp2 <= 64) {
+    // M in (32, 64]
+    return sm89_int8_config_M64::dispatch<InType, OutType, Epilogue>(
+        out, a, b, std::forward<EpilogueArgs>(args)...);
+  } else if (mp2 <= 128) {
+    // M in (64, 128]
+    return sm89_int8_config_M128::dispatch<InType, OutType, Epilogue>(
+        out, a, b, std::forward<EpilogueArgs>(args)...);
+  } else if (mp2 <= 256) {
+    // M in (128, 256]
+    return sm89_int8_config_M256::dispatch<InType, OutType, Epilogue>(
+        out, a, b, std::forward<EpilogueArgs>(args)...);
+  } else {
+    // M in (256, inf)
+    return sm89_int8_config_default::dispatch<InType, OutType, Epilogue>(
+        out, a, b, std::forward<EpilogueArgs>(args)...);
+  }
+}
+
+}  // namespace vllm
diff --git a/tests/kernels/test_cutlass.py b/tests/kernels/test_cutlass.py
index 6b72875823b4b..4ed9db37f60ab 100644
--- a/tests/kernels/test_cutlass.py
+++ b/tests/kernels/test_cutlass.py
@@ -119,8 +119,8 @@ def test_cutlass_fp8_gemm(m: int, n: int, k: int, per_act_token: bool,
     cutlass_fp8_gemm_helper(m, n, k, per_act_token, per_out_ch, use_bias)
 
 
-@pytest.mark.parametrize("m", [512, 222, 33, 1])
-@pytest.mark.parametrize("n", [2048, 256, 1024])
+@pytest.mark.parametrize("m", [1, 16, 32, 64, 128, 256, 512, 222, 33, 1])
+@pytest.mark.parametrize("n", [2048, 8192, 16384, 256, 1024])
 @pytest.mark.parametrize("k", [128, 496, 1024])
 @pytest.mark.parametrize("per_act_token", [True, False])
 @pytest.mark.parametrize("per_out_ch", [True, False])