diff --git a/inference-engine/ie_bridges/python/src/openvino/offline_transformations/offline_transformations_api_impl.cpp b/inference-engine/ie_bridges/python/src/openvino/offline_transformations/offline_transformations_api_impl.cpp
index 9a7d652866643b..ef357921cb362d 100644
--- a/inference-engine/ie_bridges/python/src/openvino/offline_transformations/offline_transformations_api_impl.cpp
+++ b/inference-engine/ie_bridges/python/src/openvino/offline_transformations/offline_transformations_api_impl.cpp
@@ -13,6 +13,7 @@
 #include <pot_transformations.hpp>
 #include <pruning.hpp>
 #include <transformations/common_optimizations/compress_float_constants.hpp>
+#include <transformations/common_optimizations/division_to_zero_fp16_resolver.hpp>
 #include <transformations/common_optimizations/mark_precision_sensitive_subgraphs.hpp>
 #include <transformations/common_optimizations/moc_transformations.hpp>
 #include <transformations/control_flow/unroll_tensor_iterator.hpp>
@@ -60,6 +61,7 @@ void InferenceEnginePython::GenerateMappingFile(InferenceEnginePython::IENetwork
 
 void InferenceEnginePython::CompressModelTransformation(InferenceEnginePython::IENetwork network) {
     ngraph::pass::Manager manager;
+    manager.register_pass<ov::pass::DivisionToZeroFP16Resolver>();
     manager.register_pass<ov::pass::MarkPrecisionSensitiveSubgraphs>();
     manager.register_pass<ov::pass::CompressFloatConstants>();
     manager.run_passes(network.actual->getFunction());
diff --git a/inference-engine/src/transformations/include/transformations/common_optimizations/division_to_zero_fp16_resolver.hpp b/inference-engine/src/transformations/include/transformations/common_optimizations/division_to_zero_fp16_resolver.hpp
index da4311c10652a8..d87ab3af887c5d 100644
--- a/inference-engine/src/transformations/include/transformations/common_optimizations/division_to_zero_fp16_resolver.hpp
+++ b/inference-engine/src/transformations/include/transformations/common_optimizations/division_to_zero_fp16_resolver.hpp
@@ -11,20 +11,23 @@
 #include <ngraph/pass/graph_rewrite.hpp>
 #include "ngraph/pattern/matcher.hpp"
 
-namespace ngraph {
+namespace ov {
 namespace pass {
 
 class TRANSFORMATIONS_API DivisionToZeroFP16Resolver;
 
 }  // namespace pass
-}  // namespace ngraph
+}  // namespace ov
 
 /**
  * @ingroup ie_transformation_common_api
- * @brief :
-
+ * @brief: clamps eps into fp16 minimal normalized value in input_1/Maximum(input_2, eps) and input_1/Add(input_2, eps) patterns
+ *
+ * eps must be always nonzero to prevent from NaNs in such expressions if input_1 and input_2 simultaneously happened to be zero.
+ * We should keep in such patterns eps >= fp16 minimal normalized value so that
+ * CompressFloatConstants should not cast them into zero during compression into f16.
  */
-class ngraph::pass::DivisionToZeroFP16Resolver: public ngraph::pass::MatcherPass {
+class ov::pass::DivisionToZeroFP16Resolver: public ngraph::pass::MatcherPass {
 public:
     NGRAPH_RTTI_DECLARATION;
     DivisionToZeroFP16Resolver();
diff --git a/inference-engine/src/transformations/src/transformations/common_optimizations/division_to_zero_fp16_resolver.cpp b/inference-engine/src/transformations/src/transformations/common_optimizations/division_to_zero_fp16_resolver.cpp
index 9a6534066223ca..40431c4dbba73e 100644
--- a/inference-engine/src/transformations/src/transformations/common_optimizations/division_to_zero_fp16_resolver.cpp
+++ b/inference-engine/src/transformations/src/transformations/common_optimizations/division_to_zero_fp16_resolver.cpp
@@ -9,49 +9,47 @@
 #include <memory>
 #include <vector>
 
-#include <ngraph/opsets/opset8.hpp>
-#include <ngraph/rt_info.hpp>
-#include <ngraph/pattern/op/wrap_type.hpp>
-#include <ngraph/pattern/op/or.hpp>
+#include <openvino/opsets/opset8.hpp>
+#include "ngraph/rt_info.hpp"
+#include <openvino/pass/pattern/op/wrap_type.hpp>
+#include <openvino/pass/pattern/op/or.hpp>
 
-NGRAPH_RTTI_DEFINITION(ngraph::pass::DivisionToZeroFP16Resolver, "DivisionToZeroFP16Resolver", 0);
+NGRAPH_RTTI_DEFINITION(ov::pass::DivisionToZeroFP16Resolver, "DivisionToZeroFP16Resolver", 0);
 
-constexpr float normalized_fp16_min = 6.103515625e-05f;  // normalized minimum of fp16
+constexpr float normalized_fp16_min = 6.103515625e-05f;  // fp16 minimal normalized  value
 
-ngraph::pass::DivisionToZeroFP16Resolver::DivisionToZeroFP16Resolver() {
-    MATCHER_SCOPE(DivisionToZeroFP16Resolver);
-    auto input_1 = ngraph::pattern::any_input();
-    auto input_2 = ngraph::pattern::any_input();
+using namespace ov;
 
+ov::pass::DivisionToZeroFP16Resolver::DivisionToZeroFP16Resolver() {
+    MATCHER_SCOPE(DivisionToZeroFP16Resolver);
+    auto input_1 = pattern::any_input();
+    auto input_2 = pattern::any_input();
 
-    auto eps_const_pattern = ngraph::pattern::wrap_type<ngraph::opset8::Constant>();
-    auto max = std::make_shared<ngraph::opset8::Maximum>(input_2, eps_const_pattern);
-    auto add = std::make_shared<ngraph::opset8::Add>(input_2, eps_const_pattern);
+    auto eps_const_pattern = pattern::wrap_type<opset8::Constant>();
+    auto max = std::make_shared<opset8::Maximum>(input_2, eps_const_pattern);
+    auto add = std::make_shared<opset8::Add>(input_2, eps_const_pattern);
     auto max_or_add = std::make_shared<pattern::op::Or>(OutputVector{max, add});
-    auto divide = std::make_shared<ngraph::opset8::Divide>(input_1, max_or_add);
+    auto divide = std::make_shared<opset8::Divide>(input_1, max_or_add);
 
-    ngraph::matcher_pass_callback callback = [=](ngraph::pattern::Matcher& m) {
+    matcher_pass_callback callback = [=](pattern::Matcher& m) {
         const auto& pattern_to_output = m.get_pattern_value_map();
 
-        const auto eps_const = std::dynamic_pointer_cast<ngraph::opset8::Constant>(pattern_to_output.at(eps_const_pattern).get_node_shared_ptr());
-
-        if (!eps_const) {
+        const auto eps_const = std::dynamic_pointer_cast<opset8::Constant>(pattern_to_output.at(eps_const_pattern).get_node_shared_ptr());
+        if (!eps_const)
             return false;
-        }
-        for (float val : eps_const->get_vector<float>()) {
-            if (val >= normalized_fp16_min) {
+
+        for (float val : eps_const->get_vector<float>())
+            if (val >= normalized_fp16_min)
                 return false;
-            }
-        }
 
         auto new_constant = std::make_shared<opset8::Constant>(eps_const->get_element_type(),
                                                                eps_const->get_shape(),
                                                                normalized_fp16_min);
-        ngraph::copy_runtime_info(eps_const, new_constant);
-        ngraph::replace_node(eps_const, new_constant);
+        copy_runtime_info(eps_const, new_constant);
+        replace_node(eps_const, new_constant);
         return true;
     };
 
-    auto m = std::make_shared<ngraph::pattern::Matcher>(divide, matcher_name);
+    auto m = std::make_shared<pattern::Matcher>(divide, matcher_name);
     register_matcher(m, callback);
 }
diff --git a/inference-engine/tests/functional/inference_engine/transformations/division_to_zero_fp16_resolver_test.cpp b/inference-engine/tests/functional/inference_engine/transformations/division_to_zero_fp16_resolver_test.cpp
index fde15ce357aeea..b57010889cea98 100644
--- a/inference-engine/tests/functional/inference_engine/transformations/division_to_zero_fp16_resolver_test.cpp
+++ b/inference-engine/tests/functional/inference_engine/transformations/division_to_zero_fp16_resolver_test.cpp
@@ -8,47 +8,103 @@
 #include <memory>
 
 #include <ngraph/function.hpp>
-#include <ngraph/opsets/opset4.hpp>
-#include <ngraph/pass/manager.hpp>
+#include <openvino/opsets/opset4.hpp>
+#include <openvino/pass/manager.hpp>
 #include <transformations/common_optimizations/division_to_zero_fp16_resolver.hpp>
 #include <transformations/init_node_info.hpp>
-#include <transformations/utils/utils.hpp>
 
 #include "common_test_utils/ngraph_test_utils.hpp"
 
 using namespace testing;
-constexpr float normalized_fp16_min = 6.103515625e-05f;  // normalized minimum of fp16
+using namespace ov;
+constexpr float normalized_fp16_min = 6.103515625e-05f;  // fp16 minimal normalized value
+
+
+TEST_F(TransformationTestsF, DivisionToZeroMinimalPattern) {
+    const float eps_value = 1.e-12;
+    {
+        auto input_1 = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto input_2 = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto eps_const = opset4::Constant::create(element::f32, Shape{1}, {eps_value});
+        auto add = std::make_shared<opset4::Add>(input_2, eps_const);
+        auto divide = std::make_shared<opset4::Divide>(input_1, add);
+
+        function = std::make_shared<Function>(NodeVector{divide}, ParameterVector{input_1, input_2});
+
+        manager.register_pass<pass::DivisionToZeroFP16Resolver>();
+    }
+
+    {
+        auto input_1 = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto input_2 = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto eps_const = opset4::Constant::create(element::f32, Shape{1}, {normalized_fp16_min});
+        auto add = std::make_shared<opset4::Add>(input_2, eps_const);
+        auto divide = std::make_shared<opset4::Divide>(input_1, add);
+
+        function_ref = std::make_shared<Function>(NodeVector{divide}, ParameterVector{input_1, input_2});
+
+        manager.register_pass<pass::DivisionToZeroFP16Resolver>();
+    }
+}
+
+TEST_F(TransformationTestsF, DivisionToZeroMinimalPatternUnchanged) {
+    // if eps_value is greater than normalized_fp16_min then leave graph unchanged
+    const float eps_value = 0.000099f;
+    {
+        auto input_1 = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto input_2 = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto eps_const = opset4::Constant::create(element::f32, Shape{1}, {eps_value});
+        auto add = std::make_shared<opset4::Add>(input_2, eps_const);
+        auto divide = std::make_shared<opset4::Divide>(input_1, add);
+
+        function = std::make_shared<Function>(NodeVector{divide}, ParameterVector{input_1, input_2});
+
+        manager.register_pass<pass::DivisionToZeroFP16Resolver>();
+    }
+
+    {
+        auto input_1 = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto input_2 = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto eps_const = opset4::Constant::create(element::f32, Shape{1}, {eps_value});
+        auto add = std::make_shared<opset4::Add>(input_2, eps_const);
+        auto divide = std::make_shared<opset4::Divide>(input_1, add);
+
+        function_ref = std::make_shared<Function>(NodeVector{divide}, ParameterVector{input_1, input_2});
+
+        manager.register_pass<pass::DivisionToZeroFP16Resolver>();
+    }
+}
 
 TEST_F(TransformationTestsF, DivisionToZeroWithMax) {
     const float eps_value = 1.e-12;
     {
-        auto input = std::make_shared<ngraph::opset4::Parameter>(ngraph::element::f32, ngraph::PartialShape::dynamic(3));
-        auto exp = ngraph::opset4::Constant::create(ngraph::element::f32, ngraph::Shape{}, {2.f});
-        auto pow = std::make_shared<ngraph::opset4::Power>(input, exp);
-        auto axes_const = ngraph::opset4::Constant::create(ngraph::element::i64, ngraph::Shape{2}, {0, 1});
-        auto reduce_sum = std::make_shared<ngraph::opset4::ReduceSum>(pow, axes_const);
-        auto eps_const = ngraph::opset4::Constant::create(ngraph::element::f32, ngraph::Shape{}, {eps_value});
-        auto max = std::make_shared<ngraph::opset4::Maximum>(reduce_sum, eps_const);
-        auto sqrt = std::make_shared<ngraph::opset4::Sqrt>(max);
-        auto divide = std::make_shared<ngraph::opset4::Divide>(input, sqrt);
-
-        function = std::make_shared<ngraph::Function>(ngraph::NodeVector{divide}, ngraph::ParameterVector{input});
-
-        manager.register_pass<ngraph::pass::DivisionToZeroFP16Resolver>();
+        auto input = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto exp = opset4::Constant::create(element::f32, Shape{}, {2.f});
+        auto pow = std::make_shared<opset4::Power>(input, exp);
+        auto axes_const = opset4::Constant::create(element::i64, Shape{2}, {0, 1});
+        auto reduce_sum = std::make_shared<opset4::ReduceSum>(pow, axes_const);
+        auto eps_const = opset4::Constant::create(element::f32, Shape{}, {eps_value});
+        auto max = std::make_shared<opset4::Maximum>(reduce_sum, eps_const);
+        auto sqrt = std::make_shared<opset4::Sqrt>(max);
+        auto divide = std::make_shared<opset4::Divide>(input, sqrt);
+
+        function = std::make_shared<Function>(NodeVector{divide}, ParameterVector{input});
+
+        manager.register_pass<pass::DivisionToZeroFP16Resolver>();
     }
 
     {
-        auto input = std::make_shared<ngraph::opset4::Parameter>(ngraph::element::f32, ngraph::PartialShape::dynamic(3));
-        auto exp = ngraph::opset4::Constant::create(ngraph::element::f32, ngraph::Shape{}, {2.f});
-        auto pow = std::make_shared<ngraph::opset4::Power>(input, exp);
-        auto axes_const = ngraph::opset4::Constant::create(ngraph::element::i64, ngraph::Shape{2}, {0, 1});
-        auto reduce_sum = std::make_shared<ngraph::opset4::ReduceSum>(pow, axes_const);
-        auto eps_const = ngraph::opset4::Constant::create(ngraph::element::f32, ngraph::Shape{}, {normalized_fp16_min});
-        auto max = std::make_shared<ngraph::opset4::Maximum>(reduce_sum, eps_const);
-        auto sqrt = std::make_shared<ngraph::opset4::Sqrt>(max);
-        auto divide = std::make_shared<ngraph::opset4::Divide>(input, sqrt);
-
-        function_ref = std::make_shared<ngraph::Function>(ngraph::NodeVector{divide}, ngraph::ParameterVector{input});
+        auto input = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto exp = opset4::Constant::create(element::f32, Shape{}, {2.f});
+        auto pow = std::make_shared<opset4::Power>(input, exp);
+        auto axes_const = opset4::Constant::create(element::i64, Shape{2}, {0, 1});
+        auto reduce_sum = std::make_shared<opset4::ReduceSum>(pow, axes_const);
+        auto eps_const = opset4::Constant::create(element::f32, Shape{}, {normalized_fp16_min});
+        auto max = std::make_shared<opset4::Maximum>(reduce_sum, eps_const);
+        auto sqrt = std::make_shared<opset4::Sqrt>(max);
+        auto divide = std::make_shared<opset4::Divide>(input, sqrt);
+
+        function_ref = std::make_shared<Function>(NodeVector{divide}, ParameterVector{input});
     }
 }
 
@@ -56,34 +112,34 @@ TEST_F(TransformationTestsF, DivisionToZeroWithMax) {
 TEST_F(TransformationTestsF, DivisionToZeroWithAdd) {
     const float eps_value = 0.000099f;
     {
-        auto input = std::make_shared<ngraph::opset4::Parameter>(ngraph::element::f32, ngraph::PartialShape::dynamic(3));
-        auto exp = ngraph::opset4::Constant::create(ngraph::element::f32, ngraph::Shape{}, {2.f});
-        auto pow = std::make_shared<ngraph::opset4::Power>(input, exp);
-        auto axes_const = ngraph::opset4::Constant::create(ngraph::element::i64, ngraph::Shape{2}, {0, 1});
-        auto reduce_sum = std::make_shared<ngraph::opset4::ReduceSum>(pow, axes_const);
-        auto eps_const = ngraph::opset4::Constant::create(ngraph::element::f32, ngraph::Shape{1}, {eps_value});
-        auto add = std::make_shared<ngraph::opset4::Add>(reduce_sum, eps_const);
-        auto sqrt = std::make_shared<ngraph::opset4::Sqrt>(add);
-        auto divide = std::make_shared<ngraph::opset4::Divide>(input, sqrt);
-
-        function = std::make_shared<ngraph::Function>(ngraph::NodeVector{divide}, ngraph::ParameterVector{input});
-
-        manager.register_pass<ngraph::pass::DivisionToZeroFP16Resolver>();
+        auto input = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto exp = opset4::Constant::create(element::f32, Shape{}, {2.f});
+        auto pow = std::make_shared<opset4::Power>(input, exp);
+        auto axes_const = opset4::Constant::create(element::i64, Shape{2}, {0, 1});
+        auto reduce_sum = std::make_shared<opset4::ReduceSum>(pow, axes_const);
+        auto eps_const = opset4::Constant::create(element::f32, Shape{1}, {eps_value});
+        auto add = std::make_shared<opset4::Add>(reduce_sum, eps_const);
+        auto sqrt = std::make_shared<opset4::Sqrt>(add);
+        auto divide = std::make_shared<opset4::Divide>(input, sqrt);
+
+        function = std::make_shared<Function>(NodeVector{divide}, ParameterVector{input});
+
+        manager.register_pass<pass::DivisionToZeroFP16Resolver>();
     }
 
     {
-        auto input = std::make_shared<ngraph::opset4::Parameter>(ngraph::element::f32, ngraph::PartialShape::dynamic(3));
-        auto exp = ngraph::opset4::Constant::create(ngraph::element::f32, ngraph::Shape{}, {2.f});
-        auto pow = std::make_shared<ngraph::opset4::Power>(input, exp);
-        auto axes_const = ngraph::opset4::Constant::create(ngraph::element::i64, ngraph::Shape{2}, {0, 1});
-        auto reduce_sum = std::make_shared<ngraph::opset4::ReduceSum>(pow, axes_const);
-        auto eps_const = ngraph::opset4::Constant::create(ngraph::element::f32, ngraph::Shape{1}, {normalized_fp16_min});
-        auto add = std::make_shared<ngraph::opset4::Add>(reduce_sum, eps_const);
-        auto sqrt = std::make_shared<ngraph::opset4::Sqrt>(add);
-        auto divide = std::make_shared<ngraph::opset4::Divide>(input, sqrt);
-
-        function_ref = std::make_shared<ngraph::Function>(ngraph::NodeVector{divide}, ngraph::ParameterVector{input});
-
-        manager.register_pass<ngraph::pass::DivisionToZeroFP16Resolver>();
+        auto input = std::make_shared<opset4::Parameter>(element::f32, PartialShape::dynamic(3));
+        auto exp = opset4::Constant::create(element::f32, Shape{}, {2.f});
+        auto pow = std::make_shared<opset4::Power>(input, exp);
+        auto axes_const = opset4::Constant::create(element::i64, Shape{2}, {0, 1});
+        auto reduce_sum = std::make_shared<opset4::ReduceSum>(pow, axes_const);
+        auto eps_const = opset4::Constant::create(element::f32, Shape{1}, {normalized_fp16_min});
+        auto add = std::make_shared<opset4::Add>(reduce_sum, eps_const);
+        auto sqrt = std::make_shared<opset4::Sqrt>(add);
+        auto divide = std::make_shared<opset4::Divide>(input, sqrt);
+
+        function_ref = std::make_shared<Function>(NodeVector{divide}, ParameterVector{input});
+
+        manager.register_pass<pass::DivisionToZeroFP16Resolver>();
     }
 }