diff --git a/src/infinicore/ops/deepseek_moe/deepseek_moe_infiniop.cc b/src/infinicore/ops/deepseek_moe/deepseek_moe_infiniop.cc
index 13ced0468..bc410946e 100644
--- a/src/infinicore/ops/deepseek_moe/deepseek_moe_infiniop.cc
+++ b/src/infinicore/ops/deepseek_moe/deepseek_moe_infiniop.cc
@@ -108,11 +108,6 @@ void cleanup(void **planned_meta_ptr) {
     *planned_meta_ptr = nullptr;
 }
 
-static bool registered = []() {
-    DeepseekMoe::plan_dispatcher().registerDevice(Device::Type::NVIDIA, &plan);
-    DeepseekMoe::run_dispatcher().registerDevice(Device::Type::NVIDIA, &run);
-    DeepseekMoe::cleanup_dispatcher().registerDevice(Device::Type::NVIDIA, &cleanup);
-    return true;
-}();
+INFINICORE_GRAPH_OP_REGISTER_ALLDEVICE(DeepseekMoe, &plan, &run, &cleanup);
 
 } // namespace infinicore::op::deepseek_moe_impl::infiniop
diff --git a/src/infiniop/ops/deepseek_moe/metax/deepseek_moe_metax.cuh b/src/infiniop/ops/deepseek_moe/metax/deepseek_moe_metax.cuh
new file mode 100644
index 000000000..1ce51737b
--- /dev/null
+++ b/src/infiniop/ops/deepseek_moe/metax/deepseek_moe_metax.cuh
@@ -0,0 +1,8 @@
+#ifndef DEEPSEEK_MOE_METAX_CUH
+#define DEEPSEEK_MOE_METAX_CUH
+
+#include "../deepseek_moe.h"
+
+DESCRIPTOR(metax)
+
+#endif
diff --git a/src/infiniop/ops/deepseek_moe/metax/deepseek_moe_metax.maca b/src/infiniop/ops/deepseek_moe/metax/deepseek_moe_metax.maca
new file mode 100644
index 000000000..25fe2dcc0
--- /dev/null
+++ b/src/infiniop/ops/deepseek_moe/metax/deepseek_moe_metax.maca
@@ -0,0 +1,317 @@
+#include "../../../devices/metax/metax_common.h"
+#include "../../../devices/metax/metax_kernel_common.h"
+#include "deepseek_moe_metax.cuh"
+#include <algorithm>
+
+namespace op::deepseek_moe::metax {
+
+struct Descriptor::Opaque {
+    std::shared_ptr<device::metax::Handle::Internal> internal;
+};
+
+Descriptor::~Descriptor() {
+    delete _opaque;
+}
+
+namespace {
+
+constexpr size_t align_up(size_t value, size_t alignment) {
+    return (value + alignment - 1) / alignment * alignment;
+}
+
+template <typename T>
+__device__ float to_float(T value) {
+    return static_cast<float>(value);
+}
+
+template <>
+__device__ float to_float<half>(half value) {
+    return __half2float(value);
+}
+
+template <>
+__device__ float to_float<__nv_bfloat16>(__nv_bfloat16 value) {
+    return __bfloat162float(value);
+}
+
+template <typename T>
+__device__ T from_float(float value) {
+    return static_cast<T>(value);
+}
+
+template <>
+__device__ half from_float<half>(float value) {
+    return __float2half_rn(value);
+}
+
+template <>
+__device__ __nv_bfloat16 from_float<__nv_bfloat16>(float value) {
+    return __float2bfloat16_rn(value);
+}
+
+template <typename T>
+__global__ void gate_up_kernel(
+    T *intermediate,
+    const T *hidden,
+    const int *topk_indices,
+    const float *topk_weights,
+    const void *const *gate_weights,
+    const void *const *up_weights,
+    size_t ntokens,
+    size_t hidden_size,
+    size_t topk,
+    size_t intermediate_size,
+    size_t num_experts) {
+
+    const size_t block_linear = static_cast<size_t>(blockIdx.x) + static_cast<size_t>(blockIdx.y) * gridDim.x;
+    const size_t route = block_linear / intermediate_size;
+    const size_t j = block_linear - route * intermediate_size;
+    if (route >= ntokens * topk) {
+        return;
+    }
+    const int expert = topk_indices[route];
+    if (expert < 0 || static_cast<size_t>(expert) >= num_experts) {
+        return;
+    }
+    const size_t token = route / topk;
+    const T *x = hidden + token * hidden_size;
+    const T *gate = reinterpret_cast<const T *>(gate_weights[expert]) + j * hidden_size;
+    const T *up = reinterpret_cast<const T *>(up_weights[expert]) + j * hidden_size;
+
+    float gate_sum = 0.0f;
+    float up_sum = 0.0f;
+    for (size_t h = threadIdx.x; h < hidden_size; h += blockDim.x) {
+        const float xv = to_float<T>(x[h]);
+        gate_sum += xv * to_float<T>(gate[h]);
+        up_sum += xv * to_float<T>(up[h]);
+    }
+
+    __shared__ float gate_shared[256];
+    __shared__ float up_shared[256];
+    gate_shared[threadIdx.x] = gate_sum;
+    up_shared[threadIdx.x] = up_sum;
+    __syncthreads();
+
+    for (unsigned int stride = blockDim.x / 2; stride > 0; stride >>= 1) {
+        if (threadIdx.x < stride) {
+            gate_shared[threadIdx.x] += gate_shared[threadIdx.x + stride];
+            up_shared[threadIdx.x] += up_shared[threadIdx.x + stride];
+        }
+        __syncthreads();
+    }
+
+    if (threadIdx.x == 0) {
+        const float g = gate_shared[0];
+        const float silu = g / (1.0f + expf(-g));
+        intermediate[route * intermediate_size + j] = from_float<T>(silu * up_shared[0] * topk_weights[route]);
+    }
+}
+
+template <typename T>
+__global__ void down_kernel(
+    T *out,
+    const T *intermediate,
+    const int *topk_indices,
+    const void *const *down_weights,
+    size_t ntokens,
+    size_t hidden_size,
+    size_t topk,
+    size_t intermediate_size,
+    size_t num_experts) {
+
+    const size_t linear = static_cast<size_t>(blockIdx.x) + static_cast<size_t>(blockIdx.y) * gridDim.x;
+    const size_t token = linear / hidden_size;
+    const size_t h = linear - token * hidden_size;
+    if (token >= ntokens) {
+        return;
+    }
+
+    float acc = 0.0f;
+    const size_t route_base = token * topk;
+    const size_t count = topk * intermediate_size;
+    for (size_t idx = threadIdx.x; idx < count; idx += blockDim.x) {
+        const size_t k = idx / intermediate_size;
+        const size_t j = idx - k * intermediate_size;
+        const size_t route = route_base + k;
+        const int expert = topk_indices[route];
+        if (expert >= 0 && static_cast<size_t>(expert) < num_experts) {
+            const T *down = reinterpret_cast<const T *>(down_weights[expert]) + h * intermediate_size;
+            acc += to_float<T>(intermediate[route * intermediate_size + j]) * to_float<T>(down[j]);
+        }
+    }
+
+    __shared__ float shared[256];
+    shared[threadIdx.x] = acc;
+    __syncthreads();
+    for (unsigned int stride = blockDim.x / 2; stride > 0; stride >>= 1) {
+        if (threadIdx.x < stride) {
+            shared[threadIdx.x] += shared[threadIdx.x + stride];
+        }
+        __syncthreads();
+    }
+    if (threadIdx.x == 0) {
+        out[token * hidden_size + h] = from_float<T>(shared[0]);
+    }
+}
+
+template <typename T>
+infiniStatus_t launch_typed(
+    void *workspace,
+    size_t workspace_size,
+    const DeepseekMoeInfo &info,
+    void *out,
+    const void *hidden,
+    const void *topk_indices,
+    const void *topk_weights,
+    const void *const *gate_weights,
+    const void *const *up_weights,
+    const void *const *down_weights,
+    hcStream_t stream,
+    bool weight_ptrs_on_device) {
+
+    const size_t ptr_bytes = align_up(info.num_experts * sizeof(void *), 256);
+    const size_t ptr_workspace = ptr_bytes * 3;
+    const size_t intermediate_offset = align_up(ptr_workspace, 256);
+    const size_t intermediate_bytes = info.ntokens * info.topk * info.intermediate_size * sizeof(T);
+    if (workspace_size < intermediate_offset + intermediate_bytes) {
+        return INFINI_STATUS_INSUFFICIENT_WORKSPACE;
+    }
+
+    auto *base = reinterpret_cast<char *>(workspace);
+    const void *const *gate_ptrs = reinterpret_cast<const void *const *>(base);
+    const void *const *up_ptrs = reinterpret_cast<const void *const *>(base + ptr_bytes);
+    const void *const *down_ptrs = reinterpret_cast<const void *const *>(base + ptr_bytes * 2);
+    auto *intermediate = reinterpret_cast<T *>(base + intermediate_offset);
+
+    if (weight_ptrs_on_device) {
+        gate_ptrs = gate_weights;
+        up_ptrs = up_weights;
+        down_ptrs = down_weights;
+    } else {
+        auto **gate_workspace = reinterpret_cast<const void **>(base);
+        auto **up_workspace = reinterpret_cast<const void **>(base + ptr_bytes);
+        auto **down_workspace = reinterpret_cast<const void **>(base + ptr_bytes * 2);
+        CHECK_METAX(hcMemcpyAsync(gate_workspace, gate_weights, info.num_experts * sizeof(void *), hcMemcpyHostToDevice, stream));
+        CHECK_METAX(hcMemcpyAsync(up_workspace, up_weights, info.num_experts * sizeof(void *), hcMemcpyHostToDevice, stream));
+        CHECK_METAX(hcMemcpyAsync(down_workspace, down_weights, info.num_experts * sizeof(void *), hcMemcpyHostToDevice, stream));
+        gate_ptrs = gate_workspace;
+        up_ptrs = up_workspace;
+        down_ptrs = down_workspace;
+    }
+
+    constexpr int threads = 256;
+    constexpr size_t max_grid_x = 65535;
+    const size_t gate_work = info.ntokens * info.topk * info.intermediate_size;
+    const dim3 gate_blocks(
+        static_cast<unsigned int>(std::min(gate_work, max_grid_x)),
+        static_cast<unsigned int>((gate_work + max_grid_x - 1) / max_grid_x));
+    gate_up_kernel<T><<<gate_blocks, threads, 0, stream>>>(
+        intermediate,
+        reinterpret_cast<const T *>(hidden),
+        reinterpret_cast<const int *>(topk_indices),
+        reinterpret_cast<const float *>(topk_weights),
+        gate_ptrs,
+        up_ptrs,
+        info.ntokens,
+        info.hidden_size,
+        info.topk,
+        info.intermediate_size,
+        info.num_experts);
+
+    const size_t down_work = info.ntokens * info.hidden_size;
+    const dim3 down_blocks(
+        static_cast<unsigned int>(std::min(down_work, max_grid_x)),
+        static_cast<unsigned int>((down_work + max_grid_x - 1) / max_grid_x));
+    down_kernel<T><<<down_blocks, threads, 0, stream>>>(
+        reinterpret_cast<T *>(out),
+        intermediate,
+        reinterpret_cast<const int *>(topk_indices),
+        down_ptrs,
+        info.ntokens,
+        info.hidden_size,
+        info.topk,
+        info.intermediate_size,
+        info.num_experts);
+
+    return INFINI_STATUS_SUCCESS;
+}
+
+} // namespace
+
+infiniStatus_t Descriptor::create(
+    infiniopHandle_t handle,
+    Descriptor **desc_ptr,
+    infiniopTensorDescriptor_t out_desc,
+    infiniopTensorDescriptor_t hidden_desc,
+    infiniopTensorDescriptor_t topk_indices_desc,
+    infiniopTensorDescriptor_t topk_weights_desc,
+    size_t intermediate_size,
+    size_t num_experts) {
+
+    auto result = DeepseekMoeInfo::create(out_desc, hidden_desc, topk_indices_desc, topk_weights_desc, intermediate_size, num_experts);
+    CHECK_RESULT(result);
+    auto info = result.take();
+
+    const size_t dtype_size = info.dtype == INFINI_DTYPE_F16 ? sizeof(half) : sizeof(__nv_bfloat16);
+    const size_t ptr_bytes = align_up(info.num_experts * sizeof(void *), 256);
+    const size_t intermediate_offset = align_up(ptr_bytes * 3, 256);
+    const size_t intermediate_bytes = info.ntokens * info.topk * info.intermediate_size * dtype_size;
+    const size_t workspace_size = intermediate_offset + intermediate_bytes;
+
+    *desc_ptr = new Descriptor(
+        new Opaque{reinterpret_cast<device::metax::Handle *>(handle)->internal()},
+        info,
+        workspace_size,
+        handle->device,
+        handle->device_id);
+    return INFINI_STATUS_SUCCESS;
+}
+
+infiniStatus_t Descriptor::calculate(
+    void *workspace,
+    size_t workspace_size,
+    void *out,
+    const void *hidden,
+    const void *topk_indices,
+    const void *topk_weights,
+    const void *const *gate_weights,
+    const void *const *up_weights,
+    const void *const *down_weights,
+    void *stream_) const {
+
+    auto stream = reinterpret_cast<hcStream_t>(stream_);
+    if (_info.dtype == INFINI_DTYPE_F16) {
+        return launch_typed<half>(workspace, workspace_size, _info, out, hidden, topk_indices, topk_weights, gate_weights, up_weights, down_weights, stream, false);
+    }
+    if (_info.dtype == INFINI_DTYPE_BF16) {
+        return launch_typed<__nv_bfloat16>(workspace, workspace_size, _info, out, hidden, topk_indices, topk_weights, gate_weights, up_weights, down_weights, stream, false);
+    }
+    return INFINI_STATUS_BAD_TENSOR_DTYPE;
+}
+
+infiniStatus_t Descriptor::calculateWithDevicePtrs(
+    void *workspace,
+    size_t workspace_size,
+    void *out,
+    const void *hidden,
+    const void *topk_indices,
+    const void *topk_weights,
+    const void *gate_weight_ptrs,
+    const void *up_weight_ptrs,
+    const void *down_weight_ptrs,
+    void *stream_) const {
+
+    auto stream = reinterpret_cast<hcStream_t>(stream_);
+    auto gate_weights = reinterpret_cast<const void *const *>(gate_weight_ptrs);
+    auto up_weights = reinterpret_cast<const void *const *>(up_weight_ptrs);
+    auto down_weights = reinterpret_cast<const void *const *>(down_weight_ptrs);
+    if (_info.dtype == INFINI_DTYPE_F16) {
+        return launch_typed<half>(workspace, workspace_size, _info, out, hidden, topk_indices, topk_weights, gate_weights, up_weights, down_weights, stream, true);
+    }
+    if (_info.dtype == INFINI_DTYPE_BF16) {
+        return launch_typed<__nv_bfloat16>(workspace, workspace_size, _info, out, hidden, topk_indices, topk_weights, gate_weights, up_weights, down_weights, stream, true);
+    }
+    return INFINI_STATUS_BAD_TENSOR_DTYPE;
+}
+
+} // namespace op::deepseek_moe::metax
diff --git a/src/infiniop/ops/deepseek_moe/moore/deepseek_moe_moore.h b/src/infiniop/ops/deepseek_moe/moore/deepseek_moe_moore.h
new file mode 100644
index 000000000..a0afabf2f
--- /dev/null
+++ b/src/infiniop/ops/deepseek_moe/moore/deepseek_moe_moore.h
@@ -0,0 +1,8 @@
+#ifndef DEEPSEEK_MOE_MOORE_H
+#define DEEPSEEK_MOE_MOORE_H
+
+#include "../deepseek_moe.h"
+
+DESCRIPTOR(moore)
+
+#endif
diff --git a/src/infiniop/ops/deepseek_moe/moore/deepseek_moe_moore.mu b/src/infiniop/ops/deepseek_moe/moore/deepseek_moe_moore.mu
new file mode 100644
index 000000000..188ca2a9c
--- /dev/null
+++ b/src/infiniop/ops/deepseek_moe/moore/deepseek_moe_moore.mu
@@ -0,0 +1,317 @@
+#include "../../../devices/moore/moore_common.h"
+#include "../../../devices/moore/moore_kernel_common.h"
+#include "deepseek_moe_moore.h"
+#include <algorithm>
+
+namespace op::deepseek_moe::moore {
+
+struct Descriptor::Opaque {
+    std::shared_ptr<device::moore::Handle::Internal> internal;
+};
+
+Descriptor::~Descriptor() {
+    delete _opaque;
+}
+
+namespace {
+
+constexpr size_t align_up(size_t value, size_t alignment) {
+    return (value + alignment - 1) / alignment * alignment;
+}
+
+template <typename T>
+__device__ float to_float(T value) {
+    return static_cast<float>(value);
+}
+
+template <>
+__device__ float to_float<half>(half value) {
+    return __half2float(value);
+}
+
+template <>
+__device__ float to_float<__mt_bfloat16>(__mt_bfloat16 value) {
+    return __bfloat162float(value);
+}
+
+template <typename T>
+__device__ T from_float(float value) {
+    return static_cast<T>(value);
+}
+
+template <>
+__device__ half from_float<half>(float value) {
+    return __float2half_rn(value);
+}
+
+template <>
+__device__ __mt_bfloat16 from_float<__mt_bfloat16>(float value) {
+    return __float2bfloat16(value);
+}
+
+template <typename T>
+__global__ void gate_up_kernel(
+    T *intermediate,
+    const T *hidden,
+    const int *topk_indices,
+    const float *topk_weights,
+    const void *const *gate_weights,
+    const void *const *up_weights,
+    size_t ntokens,
+    size_t hidden_size,
+    size_t topk,
+    size_t intermediate_size,
+    size_t num_experts) {
+
+    const size_t block_linear = static_cast<size_t>(blockIdx.x) + static_cast<size_t>(blockIdx.y) * gridDim.x;
+    const size_t route = block_linear / intermediate_size;
+    const size_t j = block_linear - route * intermediate_size;
+    if (route >= ntokens * topk) {
+        return;
+    }
+    const int expert = topk_indices[route];
+    if (expert < 0 || static_cast<size_t>(expert) >= num_experts) {
+        return;
+    }
+    const size_t token = route / topk;
+    const T *x = hidden + token * hidden_size;
+    const T *gate = reinterpret_cast<const T *>(gate_weights[expert]) + j * hidden_size;
+    const T *up = reinterpret_cast<const T *>(up_weights[expert]) + j * hidden_size;
+
+    float gate_sum = 0.0f;
+    float up_sum = 0.0f;
+    for (size_t h = threadIdx.x; h < hidden_size; h += blockDim.x) {
+        const float xv = to_float<T>(x[h]);
+        gate_sum += xv * to_float<T>(gate[h]);
+        up_sum += xv * to_float<T>(up[h]);
+    }
+
+    __shared__ float gate_shared[256];
+    __shared__ float up_shared[256];
+    gate_shared[threadIdx.x] = gate_sum;
+    up_shared[threadIdx.x] = up_sum;
+    __syncthreads();
+
+    for (unsigned int stride = blockDim.x / 2; stride > 0; stride >>= 1) {
+        if (threadIdx.x < stride) {
+            gate_shared[threadIdx.x] += gate_shared[threadIdx.x + stride];
+            up_shared[threadIdx.x] += up_shared[threadIdx.x + stride];
+        }
+        __syncthreads();
+    }
+
+    if (threadIdx.x == 0) {
+        const float g = gate_shared[0];
+        const float silu = g / (1.0f + expf(-g));
+        intermediate[route * intermediate_size + j] = from_float<T>(silu * up_shared[0] * topk_weights[route]);
+    }
+}
+
+template <typename T>
+__global__ void down_kernel(
+    T *out,
+    const T *intermediate,
+    const int *topk_indices,
+    const void *const *down_weights,
+    size_t ntokens,
+    size_t hidden_size,
+    size_t topk,
+    size_t intermediate_size,
+    size_t num_experts) {
+
+    const size_t linear = static_cast<size_t>(blockIdx.x) + static_cast<size_t>(blockIdx.y) * gridDim.x;
+    const size_t token = linear / hidden_size;
+    const size_t h = linear - token * hidden_size;
+    if (token >= ntokens) {
+        return;
+    }
+
+    float acc = 0.0f;
+    const size_t route_base = token * topk;
+    const size_t count = topk * intermediate_size;
+    for (size_t idx = threadIdx.x; idx < count; idx += blockDim.x) {
+        const size_t k = idx / intermediate_size;
+        const size_t j = idx - k * intermediate_size;
+        const size_t route = route_base + k;
+        const int expert = topk_indices[route];
+        if (expert >= 0 && static_cast<size_t>(expert) < num_experts) {
+            const T *down = reinterpret_cast<const T *>(down_weights[expert]) + h * intermediate_size;
+            acc += to_float<T>(intermediate[route * intermediate_size + j]) * to_float<T>(down[j]);
+        }
+    }
+
+    __shared__ float shared[256];
+    shared[threadIdx.x] = acc;
+    __syncthreads();
+    for (unsigned int stride = blockDim.x / 2; stride > 0; stride >>= 1) {
+        if (threadIdx.x < stride) {
+            shared[threadIdx.x] += shared[threadIdx.x + stride];
+        }
+        __syncthreads();
+    }
+    if (threadIdx.x == 0) {
+        out[token * hidden_size + h] = from_float<T>(shared[0]);
+    }
+}
+
+template <typename T>
+infiniStatus_t launch_typed(
+    void *workspace,
+    size_t workspace_size,
+    const DeepseekMoeInfo &info,
+    void *out,
+    const void *hidden,
+    const void *topk_indices,
+    const void *topk_weights,
+    const void *const *gate_weights,
+    const void *const *up_weights,
+    const void *const *down_weights,
+    musaStream_t stream,
+    bool weight_ptrs_on_device) {
+
+    const size_t ptr_bytes = align_up(info.num_experts * sizeof(void *), 256);
+    const size_t ptr_workspace = ptr_bytes * 3;
+    const size_t intermediate_offset = align_up(ptr_workspace, 256);
+    const size_t intermediate_bytes = info.ntokens * info.topk * info.intermediate_size * sizeof(T);
+    if (workspace_size < intermediate_offset + intermediate_bytes) {
+        return INFINI_STATUS_INSUFFICIENT_WORKSPACE;
+    }
+
+    auto *base = reinterpret_cast<char *>(workspace);
+    const void *const *gate_ptrs = reinterpret_cast<const void *const *>(base);
+    const void *const *up_ptrs = reinterpret_cast<const void *const *>(base + ptr_bytes);
+    const void *const *down_ptrs = reinterpret_cast<const void *const *>(base + ptr_bytes * 2);
+    auto *intermediate = reinterpret_cast<T *>(base + intermediate_offset);
+
+    if (weight_ptrs_on_device) {
+        gate_ptrs = gate_weights;
+        up_ptrs = up_weights;
+        down_ptrs = down_weights;
+    } else {
+        auto **gate_workspace = reinterpret_cast<const void **>(base);
+        auto **up_workspace = reinterpret_cast<const void **>(base + ptr_bytes);
+        auto **down_workspace = reinterpret_cast<const void **>(base + ptr_bytes * 2);
+        CHECK_MOORE(musaMemcpyAsync(gate_workspace, gate_weights, info.num_experts * sizeof(void *), musaMemcpyHostToDevice, stream));
+        CHECK_MOORE(musaMemcpyAsync(up_workspace, up_weights, info.num_experts * sizeof(void *), musaMemcpyHostToDevice, stream));
+        CHECK_MOORE(musaMemcpyAsync(down_workspace, down_weights, info.num_experts * sizeof(void *), musaMemcpyHostToDevice, stream));
+        gate_ptrs = gate_workspace;
+        up_ptrs = up_workspace;
+        down_ptrs = down_workspace;
+    }
+
+    constexpr int threads = 256;
+    constexpr size_t max_grid_x = 65535;
+    const size_t gate_work = info.ntokens * info.topk * info.intermediate_size;
+    const dim3 gate_blocks(
+        static_cast<unsigned int>(std::min(gate_work, max_grid_x)),
+        static_cast<unsigned int>((gate_work + max_grid_x - 1) / max_grid_x));
+    gate_up_kernel<T><<<gate_blocks, threads, 0, stream>>>(
+        intermediate,
+        reinterpret_cast<const T *>(hidden),
+        reinterpret_cast<const int *>(topk_indices),
+        reinterpret_cast<const float *>(topk_weights),
+        gate_ptrs,
+        up_ptrs,
+        info.ntokens,
+        info.hidden_size,
+        info.topk,
+        info.intermediate_size,
+        info.num_experts);
+
+    const size_t down_work = info.ntokens * info.hidden_size;
+    const dim3 down_blocks(
+        static_cast<unsigned int>(std::min(down_work, max_grid_x)),
+        static_cast<unsigned int>((down_work + max_grid_x - 1) / max_grid_x));
+    down_kernel<T><<<down_blocks, threads, 0, stream>>>(
+        reinterpret_cast<T *>(out),
+        intermediate,
+        reinterpret_cast<const int *>(topk_indices),
+        down_ptrs,
+        info.ntokens,
+        info.hidden_size,
+        info.topk,
+        info.intermediate_size,
+        info.num_experts);
+
+    return INFINI_STATUS_SUCCESS;
+}
+
+} // namespace
+
+infiniStatus_t Descriptor::create(
+    infiniopHandle_t handle,
+    Descriptor **desc_ptr,
+    infiniopTensorDescriptor_t out_desc,
+    infiniopTensorDescriptor_t hidden_desc,
+    infiniopTensorDescriptor_t topk_indices_desc,
+    infiniopTensorDescriptor_t topk_weights_desc,
+    size_t intermediate_size,
+    size_t num_experts) {
+
+    auto result = DeepseekMoeInfo::create(out_desc, hidden_desc, topk_indices_desc, topk_weights_desc, intermediate_size, num_experts);
+    CHECK_RESULT(result);
+    auto info = result.take();
+
+    const size_t dtype_size = info.dtype == INFINI_DTYPE_F16 ? sizeof(half) : sizeof(__mt_bfloat16);
+    const size_t ptr_bytes = align_up(info.num_experts * sizeof(void *), 256);
+    const size_t intermediate_offset = align_up(ptr_bytes * 3, 256);
+    const size_t intermediate_bytes = info.ntokens * info.topk * info.intermediate_size * dtype_size;
+    const size_t workspace_size = intermediate_offset + intermediate_bytes;
+
+    *desc_ptr = new Descriptor(
+        new Opaque{reinterpret_cast<device::moore::Handle *>(handle)->internal()},
+        info,
+        workspace_size,
+        handle->device,
+        handle->device_id);
+    return INFINI_STATUS_SUCCESS;
+}
+
+infiniStatus_t Descriptor::calculate(
+    void *workspace,
+    size_t workspace_size,
+    void *out,
+    const void *hidden,
+    const void *topk_indices,
+    const void *topk_weights,
+    const void *const *gate_weights,
+    const void *const *up_weights,
+    const void *const *down_weights,
+    void *stream_) const {
+
+    auto stream = reinterpret_cast<musaStream_t>(stream_);
+    if (_info.dtype == INFINI_DTYPE_F16) {
+        return launch_typed<half>(workspace, workspace_size, _info, out, hidden, topk_indices, topk_weights, gate_weights, up_weights, down_weights, stream, false);
+    }
+    if (_info.dtype == INFINI_DTYPE_BF16) {
+        return launch_typed<__mt_bfloat16>(workspace, workspace_size, _info, out, hidden, topk_indices, topk_weights, gate_weights, up_weights, down_weights, stream, false);
+    }
+    return INFINI_STATUS_BAD_TENSOR_DTYPE;
+}
+
+infiniStatus_t Descriptor::calculateWithDevicePtrs(
+    void *workspace,
+    size_t workspace_size,
+    void *out,
+    const void *hidden,
+    const void *topk_indices,
+    const void *topk_weights,
+    const void *gate_weight_ptrs,
+    const void *up_weight_ptrs,
+    const void *down_weight_ptrs,
+    void *stream_) const {
+
+    auto stream = reinterpret_cast<musaStream_t>(stream_);
+    auto gate_weights = reinterpret_cast<const void *const *>(gate_weight_ptrs);
+    auto up_weights = reinterpret_cast<const void *const *>(up_weight_ptrs);
+    auto down_weights = reinterpret_cast<const void *const *>(down_weight_ptrs);
+    if (_info.dtype == INFINI_DTYPE_F16) {
+        return launch_typed<half>(workspace, workspace_size, _info, out, hidden, topk_indices, topk_weights, gate_weights, up_weights, down_weights, stream, true);
+    }
+    if (_info.dtype == INFINI_DTYPE_BF16) {
+        return launch_typed<__mt_bfloat16>(workspace, workspace_size, _info, out, hidden, topk_indices, topk_weights, gate_weights, up_weights, down_weights, stream, true);
+    }
+    return INFINI_STATUS_BAD_TENSOR_DTYPE;
+}
+
+} // namespace op::deepseek_moe::moore
diff --git a/src/infiniop/ops/deepseek_moe/operator.cc b/src/infiniop/ops/deepseek_moe/operator.cc
index 759896859..d1ddfb58a 100644
--- a/src/infiniop/ops/deepseek_moe/operator.cc
+++ b/src/infiniop/ops/deepseek_moe/operator.cc
@@ -2,9 +2,16 @@
 #include "../../handle.h"
 #include "infiniop/ops/deepseek_moe.h"
 
-#ifdef ENABLE_NVIDIA_API
+#if defined(ENABLE_NVIDIA_API) || defined(ENABLE_ILUVATAR_API) || defined(ENABLE_HYGON_API) \
+    || defined(ENABLE_ALI_API)
 #include "nvidia/deepseek_moe_nvidia.cuh"
 #endif
+#ifdef ENABLE_METAX_API
+#include "metax/deepseek_moe_metax.cuh"
+#endif
+#ifdef ENABLE_MOORE_API
+#include "moore/deepseek_moe_moore.h"
+#endif
 
 __INFINI_C infiniStatus_t infiniopCreateDeepseekMoeDescriptor(
     infiniopHandle_t handle,
@@ -26,6 +33,21 @@ __INFINI_C infiniStatus_t infiniopCreateDeepseekMoeDescriptor(
     switch (handle->device) {
 #ifdef ENABLE_NVIDIA_API
         CREATE(INFINI_DEVICE_NVIDIA, nvidia);
+#endif
+#ifdef ENABLE_ILUVATAR_API
+        CREATE(INFINI_DEVICE_ILUVATAR, nvidia);
+#endif
+#ifdef ENABLE_HYGON_API
+        CREATE(INFINI_DEVICE_HYGON, nvidia);
+#endif
+#ifdef ENABLE_ALI_API
+        CREATE(INFINI_DEVICE_ALI, nvidia);
+#endif
+#ifdef ENABLE_METAX_API
+        CREATE(INFINI_DEVICE_METAX, metax);
+#endif
+#ifdef ENABLE_MOORE_API
+        CREATE(INFINI_DEVICE_MOORE, moore);
 #endif
     default:
         return INFINI_STATUS_DEVICE_TYPE_NOT_SUPPORTED;
@@ -45,6 +67,21 @@ __INFINI_C infiniStatus_t infiniopGetDeepseekMoeWorkspaceSize(
     switch (desc->device_type) {
 #ifdef ENABLE_NVIDIA_API
         GET(INFINI_DEVICE_NVIDIA, nvidia);
+#endif
+#ifdef ENABLE_ILUVATAR_API
+        GET(INFINI_DEVICE_ILUVATAR, nvidia);
+#endif
+#ifdef ENABLE_HYGON_API
+        GET(INFINI_DEVICE_HYGON, nvidia);
+#endif
+#ifdef ENABLE_ALI_API
+        GET(INFINI_DEVICE_ALI, nvidia);
+#endif
+#ifdef ENABLE_METAX_API
+        GET(INFINI_DEVICE_METAX, metax);
+#endif
+#ifdef ENABLE_MOORE_API
+        GET(INFINI_DEVICE_MOORE, moore);
 #endif
     default:
         return INFINI_STATUS_DEVICE_TYPE_NOT_SUPPORTED;
@@ -74,6 +111,21 @@ __INFINI_C infiniStatus_t infiniopDeepseekMoe(
     switch (desc->device_type) {
 #ifdef ENABLE_NVIDIA_API
         CALCULATE(INFINI_DEVICE_NVIDIA, nvidia);
+#endif
+#ifdef ENABLE_ILUVATAR_API
+        CALCULATE(INFINI_DEVICE_ILUVATAR, nvidia);
+#endif
+#ifdef ENABLE_HYGON_API
+        CALCULATE(INFINI_DEVICE_HYGON, nvidia);
+#endif
+#ifdef ENABLE_ALI_API
+        CALCULATE(INFINI_DEVICE_ALI, nvidia);
+#endif
+#ifdef ENABLE_METAX_API
+        CALCULATE(INFINI_DEVICE_METAX, metax);
+#endif
+#ifdef ENABLE_MOORE_API
+        CALCULATE(INFINI_DEVICE_MOORE, moore);
 #endif
     default:
         return INFINI_STATUS_DEVICE_TYPE_NOT_SUPPORTED;
@@ -103,6 +155,21 @@ __INFINI_C infiniStatus_t infiniopDeepseekMoeWithDevicePtrs(
     switch (desc->device_type) {
 #ifdef ENABLE_NVIDIA_API
         CALCULATE(INFINI_DEVICE_NVIDIA, nvidia);
+#endif
+#ifdef ENABLE_ILUVATAR_API
+        CALCULATE(INFINI_DEVICE_ILUVATAR, nvidia);
+#endif
+#ifdef ENABLE_HYGON_API
+        CALCULATE(INFINI_DEVICE_HYGON, nvidia);
+#endif
+#ifdef ENABLE_ALI_API
+        CALCULATE(INFINI_DEVICE_ALI, nvidia);
+#endif
+#ifdef ENABLE_METAX_API
+        CALCULATE(INFINI_DEVICE_METAX, metax);
+#endif
+#ifdef ENABLE_MOORE_API
+        CALCULATE(INFINI_DEVICE_MOORE, moore);
 #endif
     default:
         return INFINI_STATUS_DEVICE_TYPE_NOT_SUPPORTED;
@@ -121,6 +188,21 @@ __INFINI_C infiniStatus_t infiniopDestroyDeepseekMoeDescriptor(
     switch (desc->device_type) {
 #ifdef ENABLE_NVIDIA_API
         DESTROY(INFINI_DEVICE_NVIDIA, nvidia);
+#endif
+#ifdef ENABLE_ILUVATAR_API
+        DESTROY(INFINI_DEVICE_ILUVATAR, nvidia);
+#endif
+#ifdef ENABLE_HYGON_API
+        DESTROY(INFINI_DEVICE_HYGON, nvidia);
+#endif
+#ifdef ENABLE_ALI_API
+        DESTROY(INFINI_DEVICE_ALI, nvidia);
+#endif
+#ifdef ENABLE_METAX_API
+        DESTROY(INFINI_DEVICE_METAX, metax);
+#endif
+#ifdef ENABLE_MOORE_API
+        DESTROY(INFINI_DEVICE_MOORE, moore);
 #endif
     default:
         return INFINI_STATUS_DEVICE_TYPE_NOT_SUPPORTED;