diff --git a/include/omath/linear_algebra/mat.hpp b/include/omath/linear_algebra/mat.hpp
index 99f8775..d6f2d33 100644
--- a/include/omath/linear_algebra/mat.hpp
+++ b/include/omath/linear_algebra/mat.hpp
@@ -10,7 +10,7 @@
 #include <sstream>
 #include <stdexcept>
 #include <utility>
-
+#include <immintrin.h>
 
 namespace omath
 {
@@ -155,10 +155,17 @@ namespace omath
         constexpr Mat<Rows, OtherColumns, Type, StoreType>
         operator*(const Mat<Columns, OtherColumns, Type, StoreType>& other) const
         {
+#ifdef OMATH_USE_AVX2
+            if constexpr (StoreType == MatStoreType::ROW_MAJOR)
+                return avx_multiply_row_major(other);
+            if constexpr (StoreType == MatStoreType::COLUMN_MAJOR)
+                return avx_multiply_col_major(other);
+#else
             if constexpr (StoreType == MatStoreType::ROW_MAJOR)
                 return cache_friendly_multiply_row_major(other);
             if constexpr (StoreType == MatStoreType::COLUMN_MAJOR)
                 return cache_friendly_multiply_col_major(other);
+#endif
             std::unreachable();
         }
 
@@ -391,6 +398,160 @@ namespace omath
                 }
             return result;
         }
+#ifdef OMATH_USE_AVX2
+        template<size_t OtherColumns> [[nodiscard]]
+        constexpr Mat<Rows, OtherColumns, Type, MatStoreType::COLUMN_MAJOR>
+        avx_multiply_col_major(const Mat<Columns, OtherColumns, Type, MatStoreType::COLUMN_MAJOR>& other) const
+        {
+            Mat<Rows, OtherColumns, Type, MatStoreType::COLUMN_MAJOR> result;
+
+            const Type* this_mat_data = this->raw_array().data();
+            const Type* other_mat_data = other.raw_array().data();
+            Type* result_mat_data = result.raw_array().data();
+
+            if constexpr (std::is_same_v<Type, float>)
+            {
+                // ReSharper disable once CppTooWideScopeInitStatement
+                constexpr std::size_t vector_size = 8;
+                for (std::size_t j = 0; j < OtherColumns; ++j)
+                {
+                    auto* c_col = reinterpret_cast<float*>(result_mat_data + j * Rows);
+                    for (std::size_t k = 0; k < Columns; ++k)
+                    {
+                        const float bkj = reinterpret_cast<const float*>(other_mat_data)[k + j * Columns];
+                        __m256 bkjv = _mm256_set1_ps(bkj);
+
+                        const auto* a_col_k = reinterpret_cast<const float*>(this_mat_data + k * Rows);
+
+                        std::size_t i = 0;
+                        for (; i + vector_size <= Rows; i += vector_size)
+                        {
+                            __m256 cvec = _mm256_loadu_ps(c_col + i);
+                            __m256 avec = _mm256_loadu_ps(a_col_k + i);
+#if defined(__FMA__)
+                            cvec = _mm256_fmadd_ps(avec, bkjv, cvec);
+#else
+                            cvec = _mm256_add_ps(cvec, _mm256_mul_ps(avec, bkjv));
+#endif
+                            _mm256_storeu_ps(c_col + i, cvec);
+                        }
+                        for (; i < Rows; ++i)
+                            c_col[i] += a_col_k[i] * bkj;
+                    }
+                }
+            }
+            else if (std::is_same_v<Type, double>)
+            { // double
+                // ReSharper disable once CppTooWideScopeInitStatement
+                constexpr std::size_t vector_size = 4;
+                for (std::size_t j = 0; j < OtherColumns; ++j)
+                {
+                    auto* c_col = reinterpret_cast<double*>(result_mat_data + j * Rows);
+                    for (std::size_t k = 0; k < Columns; ++k)
+                    {
+                        const double bkj = reinterpret_cast<const double*>(other_mat_data)[k + j * Columns];
+                        __m256d bkjv = _mm256_set1_pd(bkj);
+
+                        const auto* a_col_k = reinterpret_cast<const double*>(this_mat_data + k * Rows);
+
+                        std::size_t i = 0;
+                        for (; i + vector_size <= Rows; i += vector_size)
+                        {
+                            __m256d cvec = _mm256_loadu_pd(c_col + i);
+                            __m256d avec = _mm256_loadu_pd(a_col_k + i);
+#if defined(__FMA__)
+                            cvec = _mm256_fmadd_pd(avec, bkjv, cvec);
+#else
+                            cvec = _mm256_add_pd(cvec, _mm256_mul_pd(avec, bkjv));
+#endif
+                            _mm256_storeu_pd(c_col + i, cvec);
+                        }
+                        for (; i < Rows; ++i)
+                            c_col[i] += a_col_k[i] * bkj;
+                    }
+                }
+            }
+            else
+                std::unreachable();
+
+            return result;
+        }
+
+        template<size_t OtherColumns> [[nodiscard]]
+        constexpr Mat<Rows, OtherColumns, Type, MatStoreType::ROW_MAJOR>
+        avx_multiply_row_major(const Mat<Columns, OtherColumns, Type, MatStoreType::ROW_MAJOR>& other) const
+        {
+            Mat<Rows, OtherColumns, Type, MatStoreType::ROW_MAJOR> result;
+
+            const Type* this_mat_data = this->raw_array().data();
+            const Type* other_mat_data = other.raw_array().data();
+            Type* result_mat_data = result.raw_array().data();
+
+            if constexpr (std::is_same_v<Type, float>)
+            {
+                // ReSharper disable once CppTooWideScopeInitStatement
+                constexpr std::size_t vector_size = 8;
+                for (std::size_t i = 0; i < Rows; ++i)
+                {
+                    Type* c_row = result_mat_data + i * OtherColumns;
+                    for (std::size_t k = 0; k < Columns; ++k)
+                    {
+                        const auto aik = static_cast<float>(this_mat_data[i * Columns + k]);
+                        __m256 aikv = _mm256_set1_ps(aik);
+                        const auto* b_row = reinterpret_cast<const float*>(other_mat_data + k * OtherColumns);
+
+                        std::size_t j = 0;
+                        for (; j + vector_size <= OtherColumns; j += vector_size)
+                        {
+                            __m256 cvec = _mm256_loadu_ps(c_row + j);
+                            __m256 bvec = _mm256_loadu_ps(b_row + j);
+#if defined(__FMA__)
+                            cvec = _mm256_fmadd_ps(bvec, aikv, cvec);
+#else
+                            cvec = _mm256_add_ps(cvec, _mm256_mul_ps(bvec, aikv));
+#endif
+                            _mm256_storeu_ps(c_row + j, cvec);
+                        }
+                        for (; j < OtherColumns; ++j)
+                            c_row[j] += aik * b_row[j];
+                    }
+                }
+            }
+            else if (std::is_same_v<Type, double>)
+            { // double
+                // ReSharper disable once CppTooWideScopeInitStatement
+                constexpr std::size_t vector_size = 4;
+                for (std::size_t i = 0; i < Rows; ++i)
+                {
+                    Type* c_row = result_mat_data + i * OtherColumns;
+                    for (std::size_t k = 0; k < Columns; ++k)
+                    {
+                        const auto aik = static_cast<double>(this_mat_data[i * Columns + k]);
+                        __m256d aikv = _mm256_set1_pd(aik);
+                        const auto* b_row = reinterpret_cast<const double*>(other_mat_data + k * OtherColumns);
+
+                        std::size_t j = 0;
+                        for (; j + vector_size <= OtherColumns; j += vector_size)
+                        {
+                            __m256d cvec = _mm256_loadu_pd(c_row + j);
+                            __m256d bvec = _mm256_loadu_pd(b_row + j);
+#if defined(__FMA__)
+                            cvec = _mm256_fmadd_pd(bvec, aikv, cvec);
+#else
+                            cvec = _mm256_add_pd(cvec, _mm256_mul_pd(bvec, aikv));
+#endif
+                            _mm256_storeu_pd(c_row + j, cvec);
+                        }
+                        for (; j < OtherColumns; ++j)
+                            c_row[j] += aik * b_row[j];
+                    }
+                }
+            }
+            else
+                std::unreachable();
+            return result;
+        }
+#endif
     };
 
     template<class Type = float, MatStoreType St = MatStoreType::ROW_MAJOR> [[nodiscard]]