diff --git a/configure.ac b/configure.ac
index 97506b33..f8b6febe 100644
--- a/configure.ac
+++ b/configure.ac
@@ -10,7 +10,7 @@
 
 # Initialize autoconf.
 AC_PREREQ([2.69])
-AC_INIT([RidgeRun inference library],[0.4.2],[https://github.com/RidgeRun/r2inference/issues],[r2inference])
+AC_INIT([RidgeRun inference library],[0.5.0],[https://github.com/RidgeRun/r2inference/issues],[r2inference])
 
 # Initialize our build utils
 RR_INIT
diff --git a/r2i/iparameters.h b/r2i/iparameters.h
index 32205943..32a9fa23 100644
--- a/r2i/iparameters.h
+++ b/r2i/iparameters.h
@@ -63,6 +63,14 @@ class IParameters {
    */
   virtual RuntimeError Get (const std::string &in_parameter, int &value) = 0;
 
+  /**
+   * \brief Queries a double parameter.
+   * \param in_parameter Name of the parameter to get a value
+   * \param value [out] Return value of the parameter to query
+   * \return RuntimeError with a description of an error.
+   */
+  virtual RuntimeError Get (const std::string &in_parameter, double &value) = 0;
+
   /**
    * \brief Queries a string parameter.
    * \param in_parameter Name of the parameter to get a value
@@ -89,6 +97,14 @@ class IParameters {
    */
   virtual RuntimeError Set (const std::string &in_parameter, int in_value) = 0;
 
+  /**
+   * \brief Sets an double parameter.
+   * \param in_parameter Name of the parameter to set a value
+   * \param in_value New value to set for in_parameter
+   * \return RuntimeError with a description of an error.
+   */
+  virtual RuntimeError Set (const std::string &in_parameter, double in_value) = 0;
+
   /**
    * \brief Lists the available parameters for this framework
    * \param metas [out] A vector of ParameterMeta with the description of
diff --git a/r2i/parametermeta.h b/r2i/parametermeta.h
index 6b278989..a3ae14a7 100644
--- a/r2i/parametermeta.h
+++ b/r2i/parametermeta.h
@@ -62,7 +62,12 @@ struct ParameterMeta {
     /**
      * A standard string
      */
-    STRING
+    STRING,
+
+    /**
+     * System dependent double
+     */
+    DOUBLE
   };
 
   /**
diff --git a/r2i/tensorflow/engine.cc b/r2i/tensorflow/engine.cc
index 91252f67..0f31ef2a 100644
--- a/r2i/tensorflow/engine.cc
+++ b/r2i/tensorflow/engine.cc
@@ -10,9 +10,7 @@
  */
 
 #include "r2i/tensorflow/engine.h"
-
 #include <tensorflow/c/c_api.h>
-
 #include "r2i/tensorflow/prediction.h"
 #include "r2i/tensorflow/frame.h"
 
@@ -55,6 +53,18 @@ RuntimeError Engine::SetModel (std::shared_ptr<r2i::IModel> in_model) {
   return error;
 }
 
+RuntimeError Engine::SetMemoryUsage (double memory_usage) {
+  RuntimeError error;
+
+  if (memory_usage > 1.0 || memory_usage < 0.1) {
+    error.Set (RuntimeError::Code::WRONG_API_USAGE, "Invalid memory usage value");
+    return error;
+  }
+
+  this->session_memory_usage_index = (static_cast<int>(memory_usage * 10) - 1);
+  return error;
+}
+
 static RuntimeError FreeSession (TF_Session *session) {
   RuntimeError error;
   std::shared_ptr<TF_Status> pstatus(TF_NewStatus (), TF_DeleteStatus);
@@ -97,6 +107,8 @@ RuntimeError Engine::Start ()  {
   TF_Graph *graph = pgraph.get();
   TF_Status *status = pstatus.get ();
   TF_SessionOptions *opt = popt.get ();
+  TF_SetConfig(opt, this->config[this->session_memory_usage_index],
+               RAM_ARRAY_SIZE, status);
 
   std::shared_ptr<TF_Session> session (TF_NewSession(graph, opt, status),
                                        FreeSession);
diff --git a/r2i/tensorflow/engine.h b/r2i/tensorflow/engine.h
index a8f4b78b..a2283c0e 100644
--- a/r2i/tensorflow/engine.h
+++ b/r2i/tensorflow/engine.h
@@ -18,6 +18,8 @@
 
 #include <r2i/tensorflow/model.h>
 
+#define RAM_ARRAY_SIZE 11
+
 namespace r2i {
 namespace tensorflow {
 
@@ -27,6 +29,8 @@ class Engine : public IEngine {
 
   r2i::RuntimeError SetModel (std::shared_ptr<r2i::IModel> in_model) override;
 
+  r2i::RuntimeError SetMemoryUsage (double memory_usage);
+
   r2i::RuntimeError Start () override;
 
   r2i::RuntimeError Stop () override;
@@ -41,10 +45,25 @@ class Engine : public IEngine {
     STARTED,
     STOPPED
   };
+
   State state;
+  int session_memory_usage_index;
 
   std::shared_ptr<TF_Session> session;
   std::shared_ptr<Model> model;
+
+  const uint8_t config[10][RAM_ARRAY_SIZE] = {
+    {0x32, 0x9, 0x9, 0x9a, 0x99, 0x99, 0x99, 0x99, 0x99, 0xb9, 0x3f},
+    {0x32, 0x9, 0x9, 0x9a, 0x99, 0x99, 0x99, 0x99, 0x99, 0xc9, 0x3f},
+    {0x32, 0x9, 0x9, 0x33, 0x33, 0x33, 0x33, 0x33, 0x33, 0xd3, 0x3f},
+    {0x32, 0x9, 0x9, 0x9a, 0x99, 0x99, 0x99, 0x99, 0x99, 0xd9, 0x3f},
+    {0x32, 0x9, 0x9, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0xe0, 0x3f},
+    {0x32, 0x9, 0x9, 0x33, 0x33, 0x33, 0x33, 0x33, 0x33, 0xe3, 0x3f},
+    {0x32, 0x9, 0x9, 0x66, 0x66, 0x66, 0x66, 0x66, 0x66, 0xe6, 0x3f},
+    {0x32, 0x9, 0x9, 0x9a, 0x99, 0x99, 0x99, 0x99, 0x99, 0xe9, 0x3f},
+    {0x32, 0x9, 0x9, 0xcd, 0xcc, 0xcc, 0xcc, 0xcc, 0xcc, 0xec, 0x3f},
+    {0x32, 0x9, 0x9, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0xf0, 0x3f}
+  };
 };
 
 }
diff --git a/r2i/tensorflow/parameters.cc b/r2i/tensorflow/parameters.cc
index 311c7b6d..e6b2cae1 100644
--- a/r2i/tensorflow/parameters.cc
+++ b/r2i/tensorflow/parameters.cc
@@ -38,6 +38,10 @@ Parameters::Parameters () :
         r2i::ParameterMeta::Flags::READ,
         r2i::ParameterMeta::Type::STRING,
         std::make_shared<VersionAccessor>(this)),
+  PARAM("gpu-memory-usage", "Per process GPU memory usage fraction",
+        r2i::ParameterMeta::Flags::READWRITE | r2i::ParameterMeta::Flags::WRITE_BEFORE_START,
+        r2i::ParameterMeta::Type::DOUBLE,
+        std::make_shared<MemoryUsageAccessor>(this)),
 
   /* Model parameters */
   PARAM("input-layer", "Name of the input layer in the graph",
@@ -147,6 +151,25 @@ RuntimeError Parameters::Get (const std::string &in_parameter, int &value) {
   return error;
 }
 
+RuntimeError Parameters::Get (const std::string &in_parameter, double &value) {
+  RuntimeError error;
+
+  ParamDesc param = this->Validate (in_parameter,
+                                    r2i::ParameterMeta::Type::DOUBLE, "double", error);
+  if (error.IsError ()) {
+    return error;
+  }
+
+  auto accessor = std::dynamic_pointer_cast<DoubleAccessor>(param.accessor);
+
+  error = accessor->Get ();
+  if (error.IsError ()) {
+    return error;
+  }
+
+  value = accessor->value;
+  return error;
+}
 
 RuntimeError Parameters::Get (const std::string &in_parameter,
                               std::string &value) {
@@ -195,6 +218,22 @@ RuntimeError Parameters::Set (const std::string &in_parameter,
   return accessor->Set ();
 }
 
+RuntimeError Parameters::Set (const std::string &in_parameter,
+                              double in_value) {
+  RuntimeError error;
+
+  ParamDesc param = this->Validate (in_parameter,
+                                    r2i::ParameterMeta::Type::DOUBLE, "double", error);
+  if (error.IsError ()) {
+    return error;
+  }
+
+  auto accessor = std::dynamic_pointer_cast<DoubleAccessor>(param.accessor);
+
+  accessor->value = in_value;
+  return accessor->Set ();
+}
+
 RuntimeError Parameters::Set (const std::string &in_parameter, int in_value) {
   RuntimeError error;
 
diff --git a/r2i/tensorflow/parameters.h b/r2i/tensorflow/parameters.h
index 079149f3..1fabafb9 100644
--- a/r2i/tensorflow/parameters.h
+++ b/r2i/tensorflow/parameters.h
@@ -37,6 +37,8 @@ class Parameters : public IParameters {
 
   RuntimeError Get (const std::string &in_parameter, int &value) override;
 
+  RuntimeError Get (const std::string &in_parameter, double &value) override;
+
   RuntimeError Get (const std::string &in_parameter,
                     std::string &value) override;
 
@@ -45,6 +47,8 @@ class Parameters : public IParameters {
 
   RuntimeError Set (const std::string &in_parameter, int in_value) override;
 
+  RuntimeError Set (const std::string &in_parameter, double in_value) override;
+
   RuntimeError List (std::vector<ParameterMeta> &metas) override;
 
  private:
@@ -75,6 +79,12 @@ class Parameters : public IParameters {
     int value;
   };
 
+  class DoubleAccessor : public Accessor {
+   public:
+    DoubleAccessor (Parameters *target) : Accessor(target) {}
+    double value;
+  };
+
   class VersionAccessor : public StringAccessor {
    public:
     VersionAccessor (Parameters *target) : StringAccessor(target) {}
@@ -89,6 +99,18 @@ class Parameters : public IParameters {
     }
   };
 
+  class MemoryUsageAccessor : public DoubleAccessor {
+   public:
+    MemoryUsageAccessor (Parameters *target) : DoubleAccessor(target) {}
+    RuntimeError Set () {
+      return target->engine->SetMemoryUsage(this->value);
+    }
+
+    RuntimeError Get () {
+      return RuntimeError ();
+    }
+  };
+
   class InputLayerAccessor : public StringAccessor {
    public:
     InputLayerAccessor (Parameters *target) : StringAccessor(target) {}
diff --git a/r2i/tflite/engine.cc b/r2i/tflite/engine.cc
index 65cce27c..9bc726ec 100644
--- a/r2i/tflite/engine.cc
+++ b/r2i/tflite/engine.cc
@@ -193,6 +193,13 @@ std::shared_ptr<r2i::IPrediction> Engine::Predict (std::shared_ptr<r2i::IFrame>
     return nullptr;
   }
 
+  // Check the model quantization, only 32 bits allowed
+  if (kTfLiteFloat32 != interpreter->tensor(input)->type) {
+    error.Set (RuntimeError::Code::FRAMEWORK_ERROR,
+               "The provided model quantization is not allowed, only float32 is supported");
+    return nullptr;
+  }
+
   auto input_tensor = this->interpreter->typed_tensor<float>(input);
   auto input_data = (float *)frame->GetData();