diff --git a/src/data/adapter.h b/src/data/adapter.h
index 5633f1605..34e918cd2 100644
--- a/src/data/adapter.h
+++ b/src/data/adapter.h
@@ -327,8 +327,8 @@ class CSRArrayAdapterBatch : public detail::NoMetaInfo {
         : indices_{std::move(indices)}, values_{std::move(values)}, ridx_{ridx},
           offset_{offset} {}
 
-    COOTuple GetElement(size_t idx) const {
-      return {ridx_, TypedIndex<size_t, 1>{indices_}(offset_ + idx), values_(offset_ + idx)};
+    COOTuple GetElement(std::size_t idx) const {
+      return {ridx_, TypedIndex<std::size_t, 1>{indices_}(offset_ + idx), values_(offset_ + idx)};
     }
 
     size_t Size() const {
diff --git a/src/data/array_interface.h b/src/data/array_interface.h
index e75510806..d8aa504df 100644
--- a/src/data/array_interface.h
+++ b/src/data/array_interface.h
@@ -96,7 +96,7 @@ struct ArrayInterfaceErrors {
  */
 class ArrayInterfaceHandler {
  public:
-  enum Type : std::int8_t { kF4, kF8, kF16, kI1, kI2, kI4, kI8, kU1, kU2, kU4, kU8 };
+  enum Type : std::int8_t { kF2, kF4, kF8, kF16, kI1, kI2, kI4, kI8, kU1, kU2, kU4, kU8 };
 
   template <typename PtrType>
   static PtrType GetPtrFromArrayData(Object::Map const &obj) {
@@ -300,6 +300,12 @@ class ArrayInterfaceHandler {
 template <typename T, typename E = void>
 struct ToDType;
 // float
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
+template <>
+struct ToDType<__half> {
+  static constexpr ArrayInterfaceHandler::Type kType = ArrayInterfaceHandler::kF2;
+};
+#endif  // defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
 template <>
 struct ToDType<float> {
   static constexpr ArrayInterfaceHandler::Type kType = ArrayInterfaceHandler::kF4;
@@ -444,6 +450,12 @@ class ArrayInterface {
       type = T::kF16;
       CHECK(sizeof(long double) == 16)
           << "128-bit floating point is not supported on current platform.";
+    } else if (typestr[1] == 'f' && typestr[2] == '2') {
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
+      type = T::kF2;
+#else
+      LOG(FATAL) << "Half type is not supported.";
+#endif  // defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
     } else if (typestr[1] == 'f' && typestr[2] == '4') {
       type = T::kF4;
     } else if (typestr[1] == 'f' && typestr[2] == '8') {
@@ -477,6 +489,14 @@ class ArrayInterface {
   XGBOOST_HOST_DEV_INLINE decltype(auto) DispatchCall(Fn func) const {
     using T = ArrayInterfaceHandler::Type;
     switch (type) {
+      case T::kF2: {
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
+        return func(reinterpret_cast<__half const *>(data));
+#else
+        SPAN_CHECK(false);
+        return func(reinterpret_cast<float const *>(data));
+#endif  // defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
+      }
       case T::kF4:
         return func(reinterpret_cast<float const *>(data));
       case T::kF8:
@@ -521,8 +541,18 @@ class ArrayInterface {
   XGBOOST_DEVICE T operator()(Index &&...index) const {
     static_assert(sizeof...(index) <= D, "Invalid index.");
     return this->DispatchCall([=](auto const *p_values) -> T {
-      size_t offset = linalg::detail::Offset<0ul>(strides, 0ul, index...);
+      std::size_t offset = linalg::detail::Offset<0ul>(strides, 0ul, index...);
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
+      // No operator defined for half -> size_t
+      using Type = std::conditional_t<
+          std::is_same<__half,
+                       std::remove_cv_t<std::remove_pointer_t<decltype(p_values)>>>::value &&
+              std::is_same<std::size_t, std::remove_cv_t<T>>::value,
+          unsigned long long, T>;  // NOLINT
+      return static_cast<T>(static_cast<Type>(p_values[offset]));
+#else
       return static_cast<T>(p_values[offset]);
+#endif
     });
   }
 
diff --git a/tests/python-gpu/test_from_cupy.py b/tests/python-gpu/test_from_cupy.py
index 841ab7d34..77592747e 100644
--- a/tests/python-gpu/test_from_cupy.py
+++ b/tests/python-gpu/test_from_cupy.py
@@ -42,6 +42,8 @@ def dmatrix_from_cupy(input_type, DMatrixT, missing=np.NAN):
 def _test_from_cupy(DMatrixT):
     '''Test constructing DMatrix from cupy'''
     import cupy as cp
+
+    dmatrix_from_cupy(np.float16, DMatrixT, np.NAN)
     dmatrix_from_cupy(np.float32, DMatrixT, np.NAN)
     dmatrix_from_cupy(np.float64, DMatrixT, np.NAN)