diff --git a/challenges/easy/43_count_array_element/starter/starter.cu b/challenges/easy/43_count_array_element/starter/starter.cu
deleted file mode 100644
index 0023952a..00000000
--- a/challenges/easy/43_count_array_element/starter/starter.cu
+++ /dev/null
@@ -1,12 +0,0 @@
-#include <cuda_runtime.h>
-
-__global__ void count_equal_kernel(const int* input, int* output, int N, int K) {}
-
-// input, output are device pointers (i.e. pointers to memory on the GPU)
-extern "C" void solve(const int* input, int* output, int N, int K) {
-    int threadsPerBlock = 256;
-    int blocksPerGrid = (N + threadsPerBlock - 1) / threadsPerBlock;
-
-    count_equal_kernel<<<blocksPerGrid, threadsPerBlock>>>(input, output, N, K);
-    cudaDeviceSynchronize();
-}
diff --git a/challenges/easy/43_count_array_element/starter/starter.mojo b/challenges/easy/43_count_array_element/starter/starter.mojo
deleted file mode 100644
index 27e93fe5..00000000
--- a/challenges/easy/43_count_array_element/starter/starter.mojo
+++ /dev/null
@@ -1,22 +0,0 @@
-from gpu.host import DeviceContext
-from gpu.id import block_dim, block_idx, thread_idx
-from memory import UnsafePointer
-from math import ceildiv
-
-fn count_equal_kernel(input: UnsafePointer[Int32], output: UnsafePointer[Int32], N: Int32, K: Int32):
-    pass
-
-# input, output are device pointers (i.e. pointers to memory on the GPU)
-@export
-def solve(input: UnsafePointer[Int32], output: UnsafePointer[Int32], N: Int32, K: Int32):
-    var BLOCK_SIZE: Int32 = 256
-    var ctx = DeviceContext()
-    var num_blocks = ceildiv(N, BLOCK_SIZE)
-
-    ctx.enqueue_function[count_equal_kernel](
-        input, output, N, K,
-        grid_dim  = num_blocks,
-        block_dim = BLOCK_SIZE
-    )
-
-    ctx.synchronize()
diff --git a/challenges/easy/43_count_array_element/starter/starter.triton.py b/challenges/easy/43_count_array_element/starter/starter.triton.py
deleted file mode 100644
index 6f4ba1a7..00000000
--- a/challenges/easy/43_count_array_element/starter/starter.triton.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import torch
-import triton
-import triton.language as tl
-
-
-@triton.jit
-def count_equal_kernel(input_ptr, output_ptr, N, K, BLOCK_SIZE: tl.constexpr):
-    pass
-
-
-# input, output are tensors on the GPU
-def solve(input: torch.Tensor, output: torch.Tensor, N: int, K: int):
-    BLOCK_SIZE = 256
-
-    def grid(meta):
-        return (triton.cdiv(N, meta["BLOCK_SIZE"]),)
-
-    count_equal_kernel[grid](input, output, N, K, BLOCK_SIZE=BLOCK_SIZE)
diff --git a/challenges/easy/44_count_2d_array_element/starter/starter.cu b/challenges/easy/44_count_2d_array_element/starter/starter.cu
deleted file mode 100644
index e77c729d..00000000
--- a/challenges/easy/44_count_2d_array_element/starter/starter.cu
+++ /dev/null
@@ -1,13 +0,0 @@
-#include <cuda_runtime.h>
-
-__global__ void count_2d_equal_kernel(const int* input, int* output, int N, int M, int K) {}
-
-// input, output are device pointers (i.e. pointers to memory on the GPU)
-extern "C" void solve(const int* input, int* output, int N, int M, int K) {
-    dim3 threadsPerBlock(16, 16);
-    dim3 blocksPerGrid((M + threadsPerBlock.x - 1) / threadsPerBlock.x,
-                       (N + threadsPerBlock.y - 1) / threadsPerBlock.y);
-
-    count_2d_equal_kernel<<<blocksPerGrid, threadsPerBlock>>>(input, output, N, M, K);
-    cudaDeviceSynchronize();
-}
diff --git a/challenges/easy/44_count_2d_array_element/starter/starter.mojo b/challenges/easy/44_count_2d_array_element/starter/starter.mojo
deleted file mode 100644
index e2eb976f..00000000
--- a/challenges/easy/44_count_2d_array_element/starter/starter.mojo
+++ /dev/null
@@ -1,22 +0,0 @@
-from gpu.host import DeviceContext
-from gpu.id import block_dim, block_idx, thread_idx
-from memory import UnsafePointer
-from math import ceildiv
-
-fn count_2d_equal_kernel(input: UnsafePointer[Int32], output: UnsafePointer[Int32], N: Int32, M: Int32, K: Int32):
-    pass
-
-# input, output are device pointers (i.e. pointers to memory on the GPU)
-@export
-def solve(input: UnsafePointer[Int32], output: UnsafePointer[Int32], N: Int32, M: Int32, K: Int32):
-    var BLOCK_SIZE: Int32 = 16
-    var ctx = DeviceContext()
-    var grid_dim_x = ceildiv(M, BLOCK_SIZE)
-    var grid_dim_y = ceildiv(N, BLOCK_SIZE)
-
-    ctx.enqueue_function[count_2d_equal_kernel](
-        input, output, N, M, K,
-        grid_dim = (grid_dim_x, grid_dim_y),
-        block_dim = (BLOCK_SIZE, BLOCK_SIZE)
-    )
-    ctx.synchronize()
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diff --git a/challenges/easy/43_count_array_element/challenge.py b/challenges/medium/43_count_array_element/challenge.py
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diff --git a/challenges/medium/43_count_array_element/starter/starter.cu b/challenges/medium/43_count_array_element/starter/starter.cu
new file mode 100644
index 00000000..8c64ce6d
--- /dev/null
+++ b/challenges/medium/43_count_array_element/starter/starter.cu
@@ -0,0 +1,4 @@
+#include <cuda_runtime.h>
+
+// input, output are device pointers
+extern "C" void solve(const int* input, int* output, int N, int K) {}
diff --git a/challenges/easy/43_count_array_element/starter/starter.cute.py b/challenges/medium/43_count_array_element/starter/starter.cute.py
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rename from challenges/easy/43_count_array_element/starter/starter.cute.py
rename to challenges/medium/43_count_array_element/starter/starter.cute.py
diff --git a/challenges/easy/43_count_array_element/starter/starter.jax.py b/challenges/medium/43_count_array_element/starter/starter.jax.py
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rename from challenges/easy/43_count_array_element/starter/starter.jax.py
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diff --git a/challenges/medium/43_count_array_element/starter/starter.mojo b/challenges/medium/43_count_array_element/starter/starter.mojo
new file mode 100644
index 00000000..975790d0
--- /dev/null
+++ b/challenges/medium/43_count_array_element/starter/starter.mojo
@@ -0,0 +1,9 @@
+from gpu.host import DeviceContext
+from gpu.id import block_dim, block_idx, thread_idx
+from memory import UnsafePointer
+from math import ceildiv
+
+# input, output are device pointers
+@export
+def solve(input: UnsafePointer[Int32], output: UnsafePointer[Int32], N: Int32, K: Int32):
+    pass
diff --git a/challenges/easy/43_count_array_element/starter/starter.pytorch.py b/challenges/medium/43_count_array_element/starter/starter.pytorch.py
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rename from challenges/easy/43_count_array_element/starter/starter.pytorch.py
rename to challenges/medium/43_count_array_element/starter/starter.pytorch.py
diff --git a/challenges/medium/43_count_array_element/starter/starter.triton.py b/challenges/medium/43_count_array_element/starter/starter.triton.py
new file mode 100644
index 00000000..7285bde2
--- /dev/null
+++ b/challenges/medium/43_count_array_element/starter/starter.triton.py
@@ -0,0 +1,8 @@
+import torch
+import triton
+import triton.language as tl
+
+
+# input, output are tensors on the GPU
+def solve(input: torch.Tensor, output: torch.Tensor, N: int, K: int):
+    pass
diff --git a/challenges/easy/44_count_2d_array_element/challenge.html b/challenges/medium/44_count_2d_array_element/challenge.html
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diff --git a/challenges/easy/44_count_2d_array_element/challenge.py b/challenges/medium/44_count_2d_array_element/challenge.py
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rename from challenges/easy/44_count_2d_array_element/challenge.py
rename to challenges/medium/44_count_2d_array_element/challenge.py
diff --git a/challenges/medium/44_count_2d_array_element/starter/starter.cu b/challenges/medium/44_count_2d_array_element/starter/starter.cu
new file mode 100644
index 00000000..347364e6
--- /dev/null
+++ b/challenges/medium/44_count_2d_array_element/starter/starter.cu
@@ -0,0 +1,4 @@
+#include <cuda_runtime.h>
+
+// input, output are device pointers
+extern "C" void solve(const int* input, int* output, int N, int M, int K) {}
diff --git a/challenges/easy/44_count_2d_array_element/starter/starter.cute.py b/challenges/medium/44_count_2d_array_element/starter/starter.cute.py
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rename from challenges/easy/44_count_2d_array_element/starter/starter.cute.py
rename to challenges/medium/44_count_2d_array_element/starter/starter.cute.py
diff --git a/challenges/easy/44_count_2d_array_element/starter/starter.jax.py b/challenges/medium/44_count_2d_array_element/starter/starter.jax.py
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rename from challenges/easy/44_count_2d_array_element/starter/starter.jax.py
rename to challenges/medium/44_count_2d_array_element/starter/starter.jax.py
diff --git a/challenges/medium/44_count_2d_array_element/starter/starter.mojo b/challenges/medium/44_count_2d_array_element/starter/starter.mojo
new file mode 100644
index 00000000..851b4d9f
--- /dev/null
+++ b/challenges/medium/44_count_2d_array_element/starter/starter.mojo
@@ -0,0 +1,9 @@
+from gpu.host import DeviceContext
+from gpu.id import block_dim, block_idx, thread_idx
+from memory import UnsafePointer
+from math import ceildiv
+
+# input, output are device pointers
+@export
+def solve(input: UnsafePointer[Int32], output: UnsafePointer[Int32], N: Int32, M: Int32, K: Int32):
+    pass
diff --git a/challenges/easy/44_count_2d_array_element/starter/starter.pytorch.py b/challenges/medium/44_count_2d_array_element/starter/starter.pytorch.py
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