diff --git a/ods_ci/tests/Resources/Files/triton/kserve-triton-tensorflow-rest-input.json b/ods_ci/tests/Resources/Files/triton/kserve-triton-tensorflow-rest-input.json
new file mode 100644
index 000000000..ad3be0890
--- /dev/null
+++ b/ods_ci/tests/Resources/Files/triton/kserve-triton-tensorflow-rest-input.json
@@ -0,0 +1 @@
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diff --git a/ods_ci/tests/Resources/Files/triton/kserve-triton-tensorflow-rest-output.json b/ods_ci/tests/Resources/Files/triton/kserve-triton-tensorflow-rest-output.json
new file mode 100644
index 000000000..c8a1cf7a0
--- /dev/null
+++ b/ods_ci/tests/Resources/Files/triton/kserve-triton-tensorflow-rest-output.json
@@ -0,0 +1 @@
+{"model_name":"inception_graphdef","model_version":"1","outputs":[{"name":"InceptionV3/Predictions/Softmax","datatype":"FP32","shape":[1,1001],"data":[0.00008416640775976703,0.00007231234485516325,0.0005643664626404643,0.001566753489896655,0.00039405119605362415,0.001687019830569625,0.0002945621672552079,0.0006172542925924063,0.0028723282739520073,0.0009816604433581233,0.000734208500944078,0.00292002921923995,0.0040885768830776215,0.012685500085353851,0.004009640775620937,0.0027443761937320232,0.007311098277568817,0.012391936033964157,0.0014135628007352352,0.011065778322517872,0.004425499122589827,0.0009168154210783541,0.12115411460399628,0.02871476486325264,0.018056660890579224,0.0038166483864188194,0.00011374164751032367,0.0002735421876423061,0.0002552805526647717,0.00010589068551780656,0.00008338477346114814,0.00018356174405198544,0.00033814855851233006,0.00004428857209859416,0.0005724934162572026,0.0003655703621916473,0.0000889202201506123,0.00025996172917075455,0.00008536536915926263,0.00020147059694863856,0.00024241673236247152,0.0005594591493718326,0.0001519538345746696,0.0025529074482619762,0.00038102950202301145,0.00019953789887949824,0.00010953882156172767,0.0011210138909518719,0.00030094405519776046,0.00009660646901465952,0.00017411129374522716,0.0005648041842505336,0.00011460635141702369,0.0003938515146728605,0.0007944941753521562,0.00020156956452410668,0.0005775365279987454,0.0004545437404885888,0.00024732176098041236,0.001363721676170826,0.001169197610579431,0.00013331291847862303,0.00008707246161065996,0.00007325407204916701,0.0008788012200966477,0.0007863835198804736,0.0015120235038921237,0.0001012838474707678,0.000140488613396883,0.00012579075701069087,0.0001258807023987174,0.0004633914795704186,0.001266858191229403,0.0007477510953322053,0.0014709398383274674,0.0007324034813791513,0.0011775123421102762,0.00013388013758230954,0.0006334348581731319,0.002687863539904356,0.0012081593740731478,0.002411056775599718,0.0024809727910906076,0.0011206622002646327,0.0012540712486952543,0.0011690788669511676,0.005074422340840101,0.0027111778035759926,0.0016567747807130218,0.0005321807111613452,0.008118822239339352,0.0011384625686332583,0.005932450294494629,0.05624016374349594,0.0044197821989655495,0.03126990422606468,0.0013176650973036885,0.003304495010524988,0.0006847147014923394,0.001507437787950039,0.0021306423004716635,0.0010078729828819633,0.00007061058568069711,0.000045723474613623694,0.0002328338159713894,0.00032037164783105254,0.00011049785098293796,0.00006551733531523496,0.0017055454663932323,0.00013557981583289802,0.00008742943464312702,0.00021529295190703124,0.00658870255574584,0.0003108069649897516,0.0006119110039435327,0.0009641034412197769,0.00003934474443667568,0.00007808623922755942,0.0001558398944325745,0.00004372716284706257,0.00009561245678924024,0.00032077933428809047,0.00003454905527178198,0.00002425404090899974,0.00002688195490918588,0.00017388910055160522,0.00017396174371242523,0.0003237033961340785,0.01983541250228882,0.022925689816474915,0.004628308583050966,0.0004958767676725984,0.0017439037328585982,0.003994497004896402,0.006572510581463575,0.004666354041546583,0.0011527808383107185,0.0008062560227699578,0.001150461845099926,0.0017547727329656482,0.0019770555663853884,0.0013047250686213374,0.013871794566512108,0.0013347492786124349,0.005875020753592253,0.0034666697029024363,0.0003785033477470279,0.008250545710325241,0.0005090417107567191,0.00013325056352186948,0.00015791277110110968,0.00020432464953046292,0.000151682150317356,0.00010564870171947405,0.00009255317127099261,0.000055249744036700577,0.0000381187055609189,0.0000709386877133511,0.00008705710206413642,0.00008746191451791674,0.0000894679396878928,0.00014791174908168614,0.0000926372449612245,0.00007890225970186293,0.00009313183545600623,0.0001377855078317225,0.00007701365393586457,0.00012357698869891465,0.000018504491890780628,0.00013274233788251877,0.00011106868623755872,0.00010278131230734289,0.0002738091570790857,0.0001374791463604197,0.0001866436650743708,0.0000662888414808549,0.00005198954022489488,0.00007767010538373142,0.000035852364817401394,0.0001352005492663011,0.00002641541141201742,0.00005208206857787445,0.00015171969425864518,0.00007045789243420586,0.00006361756823025644,0.000161590040079318,0.00008190413791453466,0.000055102012993302196,0.0001290466752834618,0.00007380914030363783,0.000056307781051145867,0.00004186917431070469,0.00014818234194535762,0.000019399663869990036,0.00014595060201827437,0.00003305439531686716,0.0001596077490830794,0.00006272221799008548,0.00008065618021646515,0.00006756053335266188,0.00006141870107967407,0.00006962454790482298,0.00003659311551018618,0.00013998935173731297,0.00004733351670438424,0.00006577075691893697,0.0002338804624741897,0.00011283368803560734,0.00007928552076919004,0.0000467240133730229,0.0002333787124371156,0.00007616670336574316,0.00010393530828878284,0.000033427128073526546,0.00005636669447994791,0.00011902795813512057,0.000045816053898306563,0.0000385140083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diff --git a/ods_ci/tests/Resources/Files/triton/triton_tensorflow_rest_servingruntime.yaml b/ods_ci/tests/Resources/Files/triton/triton_tensorflow_rest_servingruntime.yaml
new file mode 100644
index 000000000..0be25998d
--- /dev/null
+++ b/ods_ci/tests/Resources/Files/triton/triton_tensorflow_rest_servingruntime.yaml
@@ -0,0 +1,54 @@
+apiVersion: serving.kserve.io/v1alpha1
+kind: ServingRuntime
+metadata:
+  name: triton-kserve-rest
+spec:
+  annotations:
+    prometheus.kserve.io/path: /metrics
+    prometheus.kserve.io/port: "8002"
+  containers:
+    - args:
+        - tritonserver
+        - --model-store=/mnt/models
+        - --grpc-port=9000
+        - --http-port=8080
+        - --allow-grpc=true
+        - --allow-http=true
+      image: nvcr.io/nvidia/tritonserver:23.05-py3
+      name: kserve-container
+      resources:
+        limits:
+          cpu: "1"
+          memory: 2Gi
+        requests:
+          cpu: "1"
+          memory: 2Gi
+      ports:
+        - containerPort: 8080
+          protocol: TCP
+  protocolVersions:
+    - v2
+    - grpc-v2
+  supportedModelFormats:
+    - autoSelect: true
+      name: tensorrt
+      priority: 1
+      version: "8"
+    - autoSelect: true
+      name: tensorflow
+      priority: 1
+      version: "1"
+    - autoSelect: true
+      name: tensorflow
+      priority: 1
+      version: "2"
+    - autoSelect: true
+      name: onnx
+      priority: 1
+      version: "1"
+    - name: pytorch
+      version: "1"
+    - autoSelect: true
+      name: triton
+      priority: 1
+      version: "2"
diff --git a/ods_ci/tests/Resources/Page/ODH/ODHDashboard/ODHDataScienceProject/ModelServer.resource b/ods_ci/tests/Resources/Page/ODH/ODHDashboard/ODHDataScienceProject/ModelServer.resource
index ab7e1e0b3..2540a0b2d 100644
--- a/ods_ci/tests/Resources/Page/ODH/ODHDashboard/ODHDataScienceProject/ModelServer.resource
+++ b/ods_ci/tests/Resources/Page/ODH/ODHDashboard/ODHDataScienceProject/ModelServer.resource
@@ -226,6 +226,7 @@ Get Model Serving Access Token via UI
     ELSE
         SeleniumLibrary.Wait Until Page Contains Element    xpath://td[@data-label="Tokens"]/button
         SeleniumLibrary.Click Element    xpath://td[@data-label="Tokens"]/button
+        Log    ${service_account_name}
         ${token}=    SeleniumLibrary.Get Element Attribute
         ...    xpath://div[.="${service_account_name}"]/../../td[@data-label="Token Secret"]//span/input    value
     END
diff --git a/ods_ci/tests/Resources/Page/ODH/ODHDashboard/ODHModelServing.resource b/ods_ci/tests/Resources/Page/ODH/ODHDashboard/ODHModelServing.resource
index e58f462c7..9103015f4 100644
--- a/ods_ci/tests/Resources/Page/ODH/ODHDashboard/ODHModelServing.resource
+++ b/ods_ci/tests/Resources/Page/ODH/ODHDashboard/ODHModelServing.resource
@@ -292,7 +292,7 @@ Get Model Inference
     ...    set to ${TRUE}.
     [Arguments]    ${model_name}    ${inference_input}    ${token_auth}=${FALSE}   ${project_title}=${NONE}
     ...    ${kserve_mode}=Serverless   ${deployment_mode}=UI   ${service_port}=8888   ${end_point}=${NONE}
-    ...    ${service_account_name}=default-name   ${token}=${NONE}
+    ...    ${service_account_name}=default-name   ${token}=${NONE}      ${set_json_content_type}=${FALSE}
     ${curl_cmd}=     Set Variable    ${NONE}
     ${self_managed}=    Is RHODS Self-Managed
     IF    $deployment_mode == 'UI'
@@ -300,6 +300,10 @@ Get Model Inference
         ${kserve}=    Run Keyword And Return Status    SeleniumLibrary.Page Should Contain
         ...    Single-model serving enabled
         ${curl_cmd}=     Set Variable    curl -s ${url} -d ${inference_input}
+        IF    ${set_json_content_type}
+            ${curl_cmd}=     Catenate    ${curl_cmd}    -H 'Content-Type: application/json'
+        END
+        Log     ${curl_cmd}
         IF    ${token_auth}
             IF    "${project_title}" == "${NONE}"
                 ${project_title}=    Get Model Project    ${model_name}
@@ -310,12 +314,15 @@ Get Model Inference
             END
             ${curl_cmd}=     Catenate    ${curl_cmd}    -H "Authorization: Bearer ${token}"
         END
+        Log     ${curl_cmd}
         IF  ${kserve}
             Fetch Knative CA Certificate    filename=openshift_ca_istio_knative.crt
             ${curl_cmd}=     Catenate    ${curl_cmd}    --cacert openshift_ca_istio_knative.crt
+            Log     ${curl_cmd}
         ELSE IF  ${self_managed}
             Fetch Openshift CA Bundle
             ${curl_cmd}=     Catenate    ${curl_cmd}    --cacert openshift_ca.crt
+            Log     ${curl_cmd}
         END
     ELSE IF    $deployment_mode == 'Cli'
         ${rc}   ${cmd_op}=  Run And Return Rc And Output
@@ -355,7 +362,7 @@ Verify Model Inference
     [Documentation]    Verifies that the inference result of a model is equal to an expected output
     [Arguments]    ${model_name}    ${inference_input}    ${expected_inference_output}    ${token_auth}=${FALSE}
     ...    ${project_title}=${NONE}    ${deployment_mode}=UI    ${kserve_mode}=Serverless
-    ...    ${service_port}=${NONE}   ${end_point}=${NONE}    ${token}=${NONE}
+    ...    ${service_port}=${NONE}   ${end_point}=${NONE}    ${token}=${NONE}      ${set_json_content_type}=${FALSE}
     IF   $deployment_mode == 'UI'
          Open Model Serving Home Page
          Switch Model Serving Project    ${project_title}
@@ -363,7 +370,7 @@ Verify Model Inference
     ${inference_output}=    Get Model Inference    model_name=${model_name}   inference_input=${inference_input}
     ...    token_auth=${token_auth}    kserve_mode=${kserve_mode}    project_title=${project_title}
     ...    deployment_mode=${deployment_mode}    service_port=${service_port}    end_point=${end_point}
-    ...    token=${token}      # robocop: disable
+    ...    token=${token}      set_json_content_type=${set_json_content_type}           # robocop: disable
     Log    ${inference_output}
     ${result}    ${list}=    Inference Comparison    ${expected_inference_output}    ${inference_output}
     Log    ${result}
@@ -385,9 +392,10 @@ Verify Model Inference With Retries
     ...                This is a temporary mitigation meanwhile we find a better way to check the model
     [Arguments]    ${model_name}    ${inference_input}    ${expected_inference_output}    ${token_auth}=${FALSE}
     ...            ${project_title}=${NONE}    ${retries}=${5}     ${deployment_mode}=UI    ${kserve_mode}=Serverless
-    ...            ${service_port}=${NONE}   ${end_point}=${NONE}
+    ...            ${service_port}=${NONE}   ${end_point}=${NONE}   ${set_json_content_type}=${FALSE}
     ${status}=    Run Keyword And Return Status    Verify Model Inference    ${model_name}    ${inference_input}
     ...    ${expected_inference_output}    ${token_auth}    ${project_title}    ${deployment_mode}
+    ...    set_json_content_type=${set_json_content_type}
     IF    not ${status}
         ${retry}=    Set Variable    ${0}
         WHILE    ${retry} < ${retries}
@@ -398,7 +406,7 @@ Verify Model Inference With Retries
             ${status}=    Run Keyword And Return Status    Verify Model Inference
             ...    ${model_name}    ${inference_input}    ${expected_inference_output}    ${token_auth}
             ...    project_title=${project_title}     deployment_mode=${deployment_mode}  kserve_mode=${kserve_mode}
-            ...    service_port=${service_port}   end_point=${end_point}
+            ...    service_port=${service_port}   end_point=${end_point}    set_json_content_type=${set_json_content_type}
             IF    ${status}
                 BREAK
             END
diff --git a/ods_ci/tests/Tests/1000__model_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot b/ods_ci/tests/Tests/1000__model_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot
index 5991949da..965c4e68f 100644
--- a/ods_ci/tests/Tests/1000__model_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot
+++ b/ods_ci/tests/Tests/1000__model_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot
@@ -36,9 +36,14 @@ ${ONNX_RUNTIME_FILEPATH}=    ${RESOURCES_DIRPATH}/triton_onnx_rest_servingruntim
 ${EXPECTED_INFERENCE_REST_OUTPUT_FILE}=      tests/Resources/Files/triton/kserve-triton-onnx-rest-output.json
 ${INFERENCE_REST_INPUT_PYTORCH}=    @tests/Resources/Files/triton/kserve-triton-resnet-rest-input.json
 ${PYTORCH_MODEL_NAME}=    resnet50
+${TENSORFLOW_MODEL_NAME}=   inception_graphdef
+${TENSORFLOW_MODEL_LABEL}=    inceptiongraphdef
 ${PYTORCH_RUNTIME_NAME}=    triton-kserve-rest
 ${PYTORCH_RUNTIME_FILEPATH}=    ${RESOURCES_DIRPATH}/triton_onnx_rest_servingruntime.yaml
 ${EXPECTED_INFERENCE_REST_OUTPUT_FILE_PYTORCH}=       tests/Resources/Files/triton/kserve-triton-resnet-rest-output.json
+${INFERENCE_REST_INPUT_TENSORFLOW}=    @tests/Resources/Files/triton/kserve-triton-tensorflow-rest-input.json
+${TENSORFLOW_RUNTIME_FILEPATH}=    ${RESOURCES_DIRPATH}/triton_tensorflow_rest_servingruntime.yaml
+${EXPECTED_INFERENCE_REST_OUTPUT_FILE_TENSORFLOW}=       tests/Resources/Files/triton/kserve-triton-tensorflow-rest-output.json
 ${INFERENCE_GRPC_INPUT_TENSORFLOW}=    tests/Resources/Files/triton/kserve-triton-inception_graphdef-gRPC-input.json
 ${TENSORFLOW_MODEL_NAME}=    inception_graphdef
 ${TENSORFLOW_MODEL_LABEL}=     inceptiongraphdef
@@ -100,10 +105,9 @@ Test Onnx Model Rest Inference Via UI (Triton on Kserve)    # robocop: off=too-l
     ...  AND
     ...  Delete Serving Runtime Template From CLI    displayed_name=triton-kserve-rest
 
-
-Test PYTORCH Model Inference Via UI(Triton on Kserve)
+Test PYTORCH Model Rest Inference Via UI(Triton on Kserve)
     [Documentation]    Test the deployment of an pytorch model in Kserve using Triton
-    [Tags]    Sanity           RHOAIENG-11561
+    [Tags]    Tier2           RHOAIENG-11561
 
     Open Data Science Projects Home Page
     Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}
@@ -135,7 +139,7 @@ Test PYTORCH Model Inference Via UI(Triton on Kserve)
 
 Test Onnx Model Grpc Inference Via UI (Triton on Kserve)    # robocop: off=too-long-test-case
     [Documentation]    Test the deployment of an onnx model in Kserve using Triton
-    [Tags]    Sanity    RHOAIENG-9053
+    [Tags]    Tier2    RHOAIENG-9053
     Open Data Science Projects Home Page
     Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}
     ...    existing_project=${FALSE}
@@ -181,7 +185,7 @@ Test Onnx Model Grpc Inference Via UI (Triton on Kserve)    # robocop: off=too-l
 
 Test Tensorflow Model Grpc Inference Via UI (Triton on Kserve)    # robocop: off=too-long-test-case
     [Documentation]    Test the deployment of an tensorflow model in Kserve using Triton
-    [Tags]    Sanity    RHOAIENG-9052
+    [Tags]    Tier2    RHOAIENG-9052
     Open Data Science Projects Home Page
     Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}
     ...    existing_project=${FALSE}
@@ -224,9 +228,10 @@ Test Tensorflow Model Grpc Inference Via UI (Triton on Kserve)    # robocop: off
     ...  AND
     ...  Delete Serving Runtime Template From CLI    displayed_name=triton-tensorflow-grpc
 
-Test KERAS Model Inference Via UI(Triton on Kserve)
+
+Test KERAS Model Rest Inference Via UI(Triton on Kserve)
     [Documentation]    Test the deployment of an keras model in Kserve using Triton
-    [Tags]    Sanity           RHOAIENG-10328
+    [Tags]    Tier2      RHOAIENG-10328
 
     Open Data Science Projects Home Page
     Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}
@@ -248,7 +253,7 @@ Test KERAS Model Inference Via UI(Triton on Kserve)
     Log    ${EXPECTED_INFERENCE_REST_OUTPUT_KERAS}
     Run Keyword And Continue On Failure    Verify Model Inference With Retries
     ...    ${KERAS_MODEL_NAME}    ${INFERENCE_REST_INPUT_KERAS}    ${EXPECTED_INFERENCE_REST_OUTPUT_KERAS}
-    ...    token_auth=${FALSE}    project_title=${PRJ_TITLE}
+    ...    token_auth=${FALSE}    project_title=${PRJ_TITLE}      set_json_content_type=${TRUE}
     [Teardown]  Run Keywords    Get Kserve Events And Logs      model_name=${KERAS_MODEL_NAME}
     ...  project_title=${PRJ_TITLE}
     ...  AND
@@ -256,6 +261,50 @@ Test KERAS Model Inference Via UI(Triton on Kserve)
     ...  AND
     ...  Delete Serving Runtime Template From CLI    displayed_name=triton-keras-rest
 
+Test KERAS Model Grpc Inference Via UI (Triton on Kserve)    # robocop: off=too-long-test-case
+    [Documentation]    Test the deployment of an keras model in Kserve using Triton
+    [Tags]    Tier2    RHOAIENG-10327
+    Open Data Science Projects Home Page
+    Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}
+    ...    existing_project=${FALSE}
+    Open Dashboard Settings    settings_page=Serving runtimes
+    Upload Serving Runtime Template    runtime_filepath=${KERAS_GRPC_RUNTIME_FILEPATH}
+    ...    serving_platform=single      runtime_protocol=gRPC
+    Serving Runtime Template Should Be Listed    displayed_name=${KERAS_RUNTIME_NAME_GRPC}
+    ...    serving_platform=single
+    Recreate S3 Data Connection    project_title=${PRJ_TITLE}    dc_name=model-serving-connection
+    ...            aws_access_key=${S3.AWS_ACCESS_KEY_ID}    aws_secret_access=${S3.AWS_SECRET_ACCESS_KEY}
+    ...            aws_bucket_name=ods-ci-s3
+    Deploy Kserve Model Via UI    model_name=${PYTORCH_MODEL_NAME}    serving_runtime=triton-keras-grpc
+    ...    data_connection=model-serving-connection    path=tritonkeras/model_repository/    model_framework=tensorflow - 2
+    ...    token=${TRUE}
+    Wait For Pods To Be Ready    label_selector=serving.kserve.io/inferenceservice=${PYTORCH_MODEL_NAME}
+    ...    namespace=${PRJ_TITLE}
+    ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}=     Load Json File     file_path=${EXPECTED_INFERENCE_GRPC_OUTPUT_FILE_KERAS}
+    ...     as_string=${TRUE}
+    ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}=     Load Json String    ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}
+    ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}=     Evaluate    json.dumps(${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS})
+    Log     ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}
+    Open Model Serving Home Page
+    ${host_url}=    Get Model Route Via UI       model_name=${PYTORCH_MODEL_NAME}
+    ${host}=    Evaluate    re.search(r"${PATTERN}", r"${host_url}").group(1)    re
+    Log    ${host}
+    ${token}=   Get Access Token Via UI    single_model=${TRUE}      model_name=resnet50   project_name=${PRJ_TITLE}
+    ${inference_output}=    Query Model With GRPCURL   host=${host}    port=443
+    ...    endpoint=inference.GRPCInferenceService/ModelInfer
+    ...    json_body=@      input_filepath=${INFERENCE_GRPC_INPUT_KERAS}
+    ...    insecure=${True}    protobuf_file=${PROTOBUFF_FILE}      json_header="Authorization: Bearer ${token}"
+    Log    ${inference_output}
+    ${inference_output}=    Evaluate    json.dumps(${inference_output})
+    Log    ${inference_output}
+    ${result}    ${list}=    Inference Comparison    ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}    ${inference_output}
+    [Teardown]  Run Keywords    Get Kserve Events And Logs      model_name=${PYTORCH_MODEL_NAME}
+    ...  project_title=${PRJ_TITLE}
+    ...  AND
+    ...  Clean All Models Of Current User
+    ...  AND
+    ...  Delete Serving Runtime Template From CLI    displayed_name=triton-keras-grpc
+
 Test Python Model Grpc Inference Via UI (Triton on Kserve)    # robocop: off=too-long-test-case
     [Documentation]    Test the deployment of an python model in Kserve using Triton
     [Tags]    Tier2    RHOAIENG-15374
@@ -334,7 +383,7 @@ Test Python Model Rest Inference Via UI (Triton on Kserve)    # robocop: off=too
 
 Test FIL Model Rest Inference Via UI (Triton on Kserve)    # robocop: off=too-long-test-case
     [Documentation]    Test the deployment of an fil model in Kserve using Triton
-    [Tags]    Sanity    RHOAIENG-15649
+    [Tags]    Tier2    RHOAIENG-15649
     Open Data Science Projects Home Page
     Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}
     ...    existing_project=${FALSE}
@@ -361,7 +410,8 @@ Test FIL Model Rest Inference Via UI (Triton on Kserve)    # robocop: off=too-lo
     ...  Clean All Models Of Current User
     ...  AND
     ...  Delete Serving Runtime Template From CLI    displayed_name=triton-kserve-rest
-    
+
+
 Test FIL Model Grpc Inference Via UI (Triton on Kserve)    # robocop: off=too-long-test-case
     [Documentation]    Test the deployment of an fil model in Kserve using Triton
     [Tags]    Sanity    RHOAIENG-15823
@@ -406,6 +456,37 @@ Test FIL Model Grpc Inference Via UI (Triton on Kserve)    # robocop: off=too-lo
     ...  AND
     ...  Delete Serving Runtime Template From CLI    displayed_name=triton-kserve-grpc
 
+Test Tensorflow Model Rest Inference Via UI (Triton on Kserve)    # robocop: off=too-long-test-case
+    [Documentation]    Test the deployment of an tensorflow model in Kserve using Triton
+    [Tags]    Tier2    RHOAIENG-11568
+    Open Data Science Projects Home Page
+    Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}
+    ...    existing_project=${FALSE}
+    Open Dashboard Settings    settings_page=Serving runtimes
+    Upload Serving Runtime Template    runtime_filepath=${TENSORFLOW_RUNTIME_FILEPATH}
+    ...    serving_platform=single      runtime_protocol=REST
+    Serving Runtime Template Should Be Listed    displayed_name=${PYTORCH_RUNTIME_NAME}
+    ...    serving_platform=single
+    Recreate S3 Data Connection    project_title=${PRJ_TITLE}    dc_name=model-serving-connection
+    ...            aws_access_key=${S3.AWS_ACCESS_KEY_ID}    aws_secret_access=${S3.AWS_SECRET_ACCESS_KEY}
+    ...            aws_bucket_name=ods-ci-s3
+    Deploy Kserve Model Via UI    model_name=${TENSORFLOW_MODEL_NAME}    serving_runtime=triton-kserve-rest
+    ...    data_connection=model-serving-connection    path=triton/model_repository/
+    ...    model_framework=tensorflow - 2      token=${TRUE}
+    Wait For Pods To Be Ready    label_selector=serving.kserve.io/inferenceservice=${TENSORFLOW_MODEL_LABEL}
+    ...    namespace=${PRJ_TITLE}
+    ${EXPECTED_INFERENCE_REST_OUTPUT_TENSORFLOW}=     Load Json File     file_path=${EXPECTED_INFERENCE_REST_OUTPUT_FILE_TENSORFLOW}
+    ...     as_string=${TRUE}
+    Run Keyword And Continue On Failure    Verify Model Inference With Retries
+    ...    ${TENSORFLOW_MODEL_NAME}    ${INFERENCE_REST_INPUT_TENSORFLOW}    ${EXPECTED_INFERENCE_REST_OUTPUT_TENSORFLOW}
+    ...    token_auth=${TRUE}    project_title=${PRJ_TITLE}     set_json_content_type=${TRUE}
+    [Teardown]  Run Keywords    Get Kserve Events And Logs      model_name=${TENSORFLOW_MODEL_NAME}
+    ...  project_title=${PRJ_TITLE}
+    ...  AND
+    ...  Clean All Models Of Current User
+    ...  AND
+    ...  Delete Serving Runtime Template From CLI    displayed_name=triton-kserve-rest
+
 
 *** Keywords ***
 Triton On Kserve Suite Setup
diff --git a/ods_ci/tests/Tests/1000__model_serving/1010__model_serving_triton_on_modelmesh/1010__model_serving_triton_on_modelmesh.robot b/ods_ci/tests/Tests/1000__model_serving/1010__model_serving_triton_on_modelmesh/1010__model_serving_triton_on_modelmesh.robot
index 5887b6e16..463be3830 100644
--- a/ods_ci/tests/Tests/1000__model_serving/1010__model_serving_triton_on_modelmesh/1010__model_serving_triton_on_modelmesh.robot
+++ b/ods_ci/tests/Tests/1000__model_serving/1010__model_serving_triton_on_modelmesh/1010__model_serving_triton_on_modelmesh.robot
@@ -81,7 +81,7 @@ Test Onnx Model Rest Inference Via UI (Triton on Modelmesh)
 
 Test Pytorch Model Rest Inference Via UI (Triton on Modelmesh)
     [Documentation]    Test the deployment of an onnx model in Kserve using Triton
-    [Tags]    Sanity    RHOAIENG-11561
+    [Tags]    Tier2    RHOAIENG-11561
 
     Open Data Science Projects Home Page
     Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}
@@ -120,7 +120,7 @@ Test Pytorch Model Rest Inference Via UI (Triton on Modelmesh)
 
 Test Tensorflow Model Rest Inference Via UI (Triton on Modelmesh)
     [Documentation]    Test the deployment of an onnx model in Kserve using Triton
-    [Tags]    Sanity    RHOAIENG-9069
+    [Tags]    Tier2    RHOAIENG-9069
 
     Open Data Science Projects Home Page
     Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}
@@ -156,7 +156,7 @@ Test Tensorflow Model Rest Inference Via UI (Triton on Modelmesh)
 
 Test Python Model Rest Inference Via UI (Triton on Modelmesh)
     [Documentation]    Test the deployment of an python model in Kserve using Triton
-    [Tags]    Sanity    RHOAIENG-11564
+    [Tags]    Tier2    RHOAIENG-11564
 
     Open Data Science Projects Home Page
     Create Data Science Project    title=${PRJ_TITLE}    description=${PRJ_DESCRIPTION}