diff --git a/.github/workflows/native_jni_s3_pytorch.yml b/.github/workflows/native_jni_s3_pytorch.yml
index 92840065d9f..8e10cb67004 100644
--- a/.github/workflows/native_jni_s3_pytorch.yml
+++ b/.github/workflows/native_jni_s3_pytorch.yml
@@ -14,49 +14,6 @@ on:
     - cron: '0 5 * * *'
 
 jobs:
-  build-pytorch-jni-macos:
-    if: github.repository == 'deepjavalibrary/djl'
-    runs-on: macos-13
-
-    steps:
-      - uses: actions/checkout@v4
-      - name: Set up JDK 17
-        uses: actions/setup-java@v4
-        with:
-          distribution: 'corretto'
-          java-version: 17
-      - uses: actions/cache@v4
-        with:
-          path: ~/.gradle/caches
-          key: ${{ runner.os }}-gradle-${{ hashFiles('*/build.gradle.kts', 'engines/**/build.gradle.kts', 'extensions/**/build.gradle.kts') }}
-          restore-keys: |
-            ${{ runner.os }}-gradle-
-      - name: Release JNI prep
-        shell: bash
-        run: |
-          PYTORCH_VERSION=${{ github.event.inputs.pt_version }}
-          export PYTORCH_VERSION=${PYTORCH_VERSION:-$(awk -F '=' '/pytorch/ {gsub(/ ?"/, "", $2); print $2}' gradle/libs.versions.toml)}
-          echo $PYTORCH_VERSION
-          if [[ $PYTORCH_VERSION =~ ^(?\.[1-2]?\..*)$ ]]; then \
-            ./gradlew :engines:pytorch:pytorch-native:compileJNI -Ppt_version=$PYTORCH_VERSION; \
-            ./gradlew -Pjni -Ppt_version=$PYTORCH_VERSION :integration:test "-Dai.djl.default_engine=PyTorch"; \
-          fi;
-      - name: Configure AWS Credentials
-        uses: aws-actions/configure-aws-credentials@v4
-        with:
-          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          aws-region: us-east-2
-      - name: Copy files to S3 with the AWS CLI
-        shell: bash
-        run: |
-          PYTORCH_VERSION=${{ github.event.inputs.pt_version }}
-          PYTORCH_VERSION=${PYTORCH_VERSION:-$(awk -F '=' '/pytorch/ {gsub(/ ?"/, "", $2); print $2}' gradle/libs.versions.toml)}
-          if [[ $PYTORCH_VERSION =~ ^(?\.[1-2]?\..*)$ ]]; then \
-            aws s3 sync engines/pytorch/pytorch-native/jnilib s3://djl-ai/publish/pytorch/${PYTORCH_VERSION}/jnilib; \
-            aws cloudfront create-invalidation --distribution-id E371VB8JQ6NRVY --paths "/pytorch/${PYTORCH_VERSION}/jnilib*"; \
-          fi;
-
   build-pytorch-jni-linux:
     if: github.repository == 'deepjavalibrary/djl'
     runs-on: ubuntu-latest
@@ -111,48 +68,37 @@ jobs:
   build-pytorch-jni-precxx11:
     if: github.repository == 'deepjavalibrary/djl'
     runs-on: ubuntu-latest
-    container: nvidia/cuda:12.1.1-cudnn8-devel-centos7
+    container:
+      image: amazonlinux:2
+      env:
+        JAVA_HOME: /usr/lib/jvm/java-17-amazon-corretto
+        AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
+        AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+    timeout-minutes: 30
+    needs: create-aarch64-runner
     steps:
-      - name: Install Environment
+      - name: Install compiler environment
         run: |
           yum -y update
-          yum -y install centos-release-scl-rh epel-release
-          yum -y install devtoolset-9 rh-git218 patch cmake3
-          ln -s /usr/bin/cmake3 /usr/bin/cmake
+          yum -y install patch git cmake3 python3-devel java-17-amazon-corretto-devel
+          yum -y install gcc10 gcc10-c++
+          ln -sf /usr/bin/gcc10-gcc /usr/bin/gcc
+          ln -sf /usr/bin/gcc10-cc /usr/bin/cc
+          ln -sf /usr/bin/gcc10-g++ /usr/bin/g++
+          ln -sf /usr/bin/gcc10-c++ /usr/bin/c++
+          ln -sf /usr/bin/gcc10-ar /usr/bin/ar
+          ln -sf /usr/bin/cmake3 /usr/bin/cmake
           pip3 install awscli --upgrade
-      - uses: actions/checkout@v3
-      - name: Set up JDK 17
-        uses: actions/setup-java@v3
-        with:
-          distribution: 'corretto'
-          java-version: 17
-      - uses: actions/cache@v3
-        with:
-          path: ~/.gradle/caches
-          key: ${{ runner.os }}-gradle-${{ hashFiles('*/build.gradle.kts', 'engines/**/build.gradle.kts', 'extensions/**/build.gradle.kts') }}
-          restore-keys: |
-            ${{ runner.os }}-gradle-
+      - uses: taiki-e/checkout-action@v1
       - name: Release JNI prep
         run: |
-          source scl_source enable devtoolset-9 rh-git218 || true
+          export PATH=$PATH:$JAVA_HOME/bin
           PYTORCH_VERSION=${{ github.event.inputs.pt_version }}
           export PYTORCH_VERSION=${PYTORCH_VERSION:-$(awk -F '=' '/pytorch/ {gsub(/ ?"/, "", $2); print $2}' gradle/libs.versions.toml)}
-          export PYTORCH_PRECXX11=true
           echo $PYTORCH_VERSION
           ./gradlew :engines:pytorch:pytorch-native:compileJNI -Pprecxx11 -Ppt_version=$PYTORCH_VERSION
+          export PYTORCH_PRECXX11=true
           ./gradlew -Pjni -Ppt_version=$PYTORCH_VERSION :integration:test "-Dai.djl.default_engine=PyTorch"
-          ./gradlew :engines:pytorch:pytorch-native:cleanJNI
-          rm -rf ~/.djl.ai
-          export TORCH_CUDA_ARCH_LIST="8.0 8.6 8.9 9.0"
-          CUDA_VERSION=${{ github.event.inputs.cuda }}
-          export CUDA_VERSION=${CUDA_VERSION:-cu121}
-          ./gradlew :engines:pytorch:pytorch-native:compileJNI -Pcuda=$CUDA_VERSION -Pprecxx11 -Ppt_version=$PYTORCH_VERSION
-      - name: Configure AWS Credentials
-        uses: aws-actions/configure-aws-credentials@v2
-        with:
-          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          aws-region: us-east-2
       - name: Copy files to S3 with the AWS CLI
         run: |
           PYTORCH_VERSION=${{ github.event.inputs.pt_version }}
diff --git a/.github/workflows/native_s3_fasttext.yml b/.github/workflows/native_s3_fasttext.yml
index c4571ac02ed..9a2a4c704e5 100644
--- a/.github/workflows/native_s3_fasttext.yml
+++ b/.github/workflows/native_s3_fasttext.yml
@@ -4,36 +4,6 @@ on:
   workflow_dispatch:
 
 jobs:
-  build-fasttext-jni-osx:
-    runs-on: macos-13
-    steps:
-      - uses: actions/checkout@v4
-      - name: Set up JDK 17
-        uses: actions/setup-java@v4
-        with:
-          distribution: 'corretto'
-          java-version: 17
-      - uses: actions/cache@v4
-        with:
-          path: ~/.gradle/caches
-          key: ${{ runner.os }}-gradle-${{ hashFiles('*/build.gradle.kts', 'engines/**/build.gradle.kts', 'extensions/**/build.gradle.kts') }}
-          restore-keys: |
-            ${{ runner.os }}-gradle-
-      - name: Release JNI prep
-        run: |
-          ./gradlew :extensions:fasttext:compileJNI
-          ./gradlew -Pjni :extensions:fasttext:test
-      - name: Configure AWS Credentials
-        uses: aws-actions/configure-aws-credentials@v4
-        with:
-          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          aws-region: us-east-2
-      - name: Copy files to S3 with the AWS CLI
-        run: |
-          FASTTEXT_VERSION="$(awk -F '=' '/fasttext/ {gsub(/ ?"/, "", $2); print $2}' gradle/libs.versions.toml)"
-          aws s3 sync extensions/fasttext/jnilib s3://djl-ai/publish/fasttext-${FASTTEXT_VERSION}/jnilib/
-
   build-fasttext-jni-linux:
     runs-on: ubuntu-latest
     container: amazonlinux:2
diff --git a/.github/workflows/native_s3_huggingface.yml b/.github/workflows/native_s3_huggingface.yml
index 55ace70eb6c..626ae620755 100644
--- a/.github/workflows/native_s3_huggingface.yml
+++ b/.github/workflows/native_s3_huggingface.yml
@@ -9,41 +9,6 @@ on:
       - extensions/tokenizers/rust/**
 
 jobs:
-  build-tokenizers-jni-osx:
-    runs-on: macos-13
-    steps:
-      - uses: actions/checkout@v4
-      - name: Set up JDK 17
-        uses: actions/setup-java@v4
-        with:
-          distribution: 'corretto'
-          java-version: 17
-      - uses: actions-rs/toolchain@v1
-        with:
-          toolchain: stable
-      - uses: actions/cache@v4
-        with:
-          path: ~/.gradle/caches
-          key: ${{ runner.os }}-gradle-${{ hashFiles('*/build.gradle.kts', 'engines/**/build.gradle.kts', 'extensions/**/build.gradle.kts') }}
-          restore-keys: |
-            ${{ runner.os }}-gradle-
-      - name: Release JNI prep
-        run: |
-          ./gradlew :extensions:tokenizers:compileJNI
-          PYTORCH_VERSION=2.2.2 ./gradlew -Pjni :extensions:tokenizers:test
-      - name: Configure AWS Credentials
-        uses: aws-actions/configure-aws-credentials@v4
-        with:
-          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          aws-region: us-east-2
-      - name: Copy files to S3 with the AWS CLI
-        run: |
-          DJL_VERSION=$(awk -F '=' '/djl / {gsub(/ ?"/, "", $2); print $2}' gradle/libs.versions.toml)
-          TOKENIZERS_VERSION="$(awk -F '=' '/tokenizers/ {gsub(/ ?"/, "", $2); print $2}' gradle/libs.versions.toml)"
-          aws s3 sync extensions/tokenizers/jnilib/$DJL_VERSION/osx-x86_64 s3://djl-ai/publish/tokenizers/${TOKENIZERS_VERSION}/jnilib/$DJL_VERSION/osx-x86_64/
-          aws cloudfront create-invalidation --distribution-id E371VB8JQ6NRVY --paths "/tokenizers/${TOKENIZERS_VERSION}/jnilib/*"
-
   build-tokenizers-jni-linux:
     runs-on: ubuntu-latest
     container:
diff --git a/.github/workflows/native_s3_sentencepiece.yml b/.github/workflows/native_s3_sentencepiece.yml
index 6e102185365..12fca8e12c2 100644
--- a/.github/workflows/native_s3_sentencepiece.yml
+++ b/.github/workflows/native_s3_sentencepiece.yml
@@ -4,38 +4,6 @@ on:
   workflow_dispatch:
 
 jobs:
-  build-sentencepiece-jni-osx:
-    if: ${{ github.repository == 'deepjavalibrary/djl' && always() }}
-    runs-on: macos-13
-    steps:
-      - uses: actions/checkout@v4
-      - name: Set up JDK 17
-        uses: actions/setup-java@v4
-        with:
-          distribution: 'corretto'
-          java-version: 17
-      - uses: actions/cache@v4
-        with:
-          path: ~/.gradle/caches
-          key: ${{ runner.os }}-gradle-${{ hashFiles('*/build.gradle.kts', 'engines/**/build.gradle.kts', 'extensions/**/build.gradle.kts') }}
-          restore-keys: |
-            ${{ runner.os }}-gradle-
-      - name: Release JNI prep
-        run: |
-          ./gradlew :extensions:sentencepiece:compileJNI
-          ./gradlew -Pjni :extensions:sentencepiece:test
-      - name: Configure AWS Credentials
-        uses: aws-actions/configure-aws-credentials@v4
-        with:
-          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          aws-region: us-east-2
-      - name: Copy files to S3 with the AWS CLI
-        run: |
-          SENTENCEPIECE_VERSION="$(awk -F '=' '/sentencepiece/ {gsub(/ ?"/, "", $2); print $2}' gradle/libs.versions.toml)"
-          aws s3 sync extensions/sentencepiece/jnilib s3://djl-ai/publish/sentencepiece-${SENTENCEPIECE_VERSION}/jnilib/
-          aws cloudfront create-invalidation --distribution-id E371VB8JQ6NRVY --paths "/sentencepiece-${SENTENCEPIECE_VERSION}/jnilib/*"
-
   build-sentencepiece-jni-linux:
     if: ${{ github.repository == 'deepjavalibrary/djl' && always() }}
     runs-on: ubuntu-latest
diff --git a/.github/workflows/native_s3_xgboost.yml b/.github/workflows/native_s3_xgboost.yml
index 47b9a7eb872..1bb89879af6 100644
--- a/.github/workflows/native_s3_xgboost.yml
+++ b/.github/workflows/native_s3_xgboost.yml
@@ -2,9 +2,10 @@ name: Native S3 XGBoost
 
 on:
   workflow_dispatch:
-    xgb_version:
-      description: 'xgboost version'
-      required: false
+    inputs:
+      xgb_version:
+        description: 'xgboost version'
+        required: false
 
 jobs:
   create-aarch64-runner:
diff --git a/bom/build.gradle.kts b/bom/build.gradle.kts
index 9d2813ca775..09ba3dbf399 100644
--- a/bom/build.gradle.kts
+++ b/bom/build.gradle.kts
@@ -117,7 +117,6 @@ publishing {
                         }
 
                         val mxnet = libs.versions.mxnet.get()
-                        +"ai.djl.mxnet:mxnet-native-mkl:$mxnet:osx-x86_64"
                         +"ai.djl.mxnet:mxnet-native-mkl:$mxnet:linux-x86_64"
                         +"ai.djl.mxnet:mxnet-native-mkl:$mxnet:win-x86_64"
                         +"ai.djl.mxnet:mxnet-native-cu112mkl:$mxnet:linux-x86_64"
@@ -129,13 +128,10 @@ publishing {
                         +"ai.djl.pytorch:pytorch-native-cpu-precxx11:$pytorch:linux-aarch64"
                         +"ai.djl.pytorch:pytorch-native-cu121:$pytorch:linux-x86_64"
                         +"ai.djl.pytorch:pytorch-native-cu121:$pytorch:win-x86_64"
-                        +"ai.djl.pytorch:pytorch-native-cu121-precxx11:$pytorch:linux-x86_64"
                         pytorch = "1.13.1"
                         +"ai.djl.pytorch:pytorch-native-cu117:$pytorch:linux-x86_64"
                         +"ai.djl.pytorch:pytorch-native-cu117:$pytorch:win-x86_64"
-                        +"ai.djl.pytorch:pytorch-native-cu117-precxx11:$pytorch:linux-x86_64"
                         val tensorflow = "${libs.versions.tensorflow.get()}"
-                        +"ai.djl.tensorflow:tensorflow-native-cpu:$tensorflow:osx-x86_64"
                         +"ai.djl.tensorflow:tensorflow-native-cpu:$tensorflow:osx-aarch64"
                         +"ai.djl.tensorflow:tensorflow-native-cpu:$tensorflow:linux-x86_64"
                         +"ai.djl.tensorflow:tensorflow-native-cpu:$tensorflow:linux-aarch64"
diff --git a/engines/pytorch/pytorch-engine/README.md b/engines/pytorch/pytorch-engine/README.md
index a6fd6f0a920..9145ca23a14 100644
--- a/engines/pytorch/pytorch-engine/README.md
+++ b/engines/pytorch/pytorch-engine/README.md
@@ -1,6 +1,7 @@
 # DJL - PyTorch engine implementation
 
 ## Overview
+
 This module contains the Deep Java Library (DJL) EngineProvider for PyTorch.
 
 We don't recommend that developers use classes in this module directly.
@@ -19,14 +20,17 @@ You can also build the latest javadocs locally using the following command:
 # for Windows:
 ..\..\gradlew javadoc
 ```
+
 The javadocs output is built in the `build/doc/javadoc` folder.
 
 ## Installation
+
 You can pull the PyTorch engine from the central Maven repository by including the following dependency:
 
 - ai.djl.pytorch:pytorch-engine:0.29.0
 
 ```xml
+
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-engine</artifactId>
@@ -42,6 +46,7 @@ ways to specify PyTorch version:
 2. Sets environment variable: `PYTORCH_VERSION` to override the default package version.
 
 ### Supported PyTorch versions
+
 The following table illustrates which pytorch version that DJL supports:
 
 | PyTorch engine version | PyTorch native library version            |
@@ -74,17 +79,20 @@ The following table illustrates which pytorch version that DJL supports:
 | pytorch-engine:0.4.0   | pytorch-native-auto:1.4.0                 |
 
 ### BOM support
+
 We strongly recommend you to use [Bill of Materials (BOM)](../../../bom/README.md) to manage your dependencies.
 
-By default, DJL will download the PyTorch native libraries into [cache folder](../../../docs/development/cache_management.md) the first time you run DJL.
+By default, DJL will download the PyTorch native libraries
+into [cache folder](../../../docs/development/cache_management.md) the first time you run DJL.
 It will automatically determine the appropriate jars for your system based on the platform and GPU support.
 
-### CentOS 7 or Amazon Linux 2 support 
-If you are running on an older operating system (like CentOS 7), you have to use
+### Amazon Linux 2 support
+
+If you are running on an older operating system (like Amazonlinux 2), you have to use
 [precxx11 build](#for-pre-cxx11-build) or set system property to auto select for precxx11 binary:
 
 ```java
-System.setProperty("PYTORCH_PRECXX11", "true");
+System.setProperty("PYTORCH_PRECXX11","true");
 ```
 
 or use System env
@@ -114,36 +122,21 @@ export PYTORCH_FLAVOR=cpu
 ```
 
 ### macOS
-For macOS, you can use the following library:
-
-- ai.djl.pytorch:pytorch-jni:2.3.1-0.29.0
-- ai.djl.pytorch:pytorch-native-cpu:2.3.1:osx-x86_64
 
-```xml
-<dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-native-cpu</artifactId>
-    <classifier>osx-x86_64</classifier>
-    <version>2.3.1</version>
-    <scope>runtime</scope>
-</dependency>
-<dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-jni</artifactId>
-    <version>2.3.1-0.29.0</version>
-    <scope>runtime</scope>
-</dependency>
-```
+**Note:**
 
-**Note:** PyTorch 1.13+ doesn't support mac 11 any more, you must use DJL 0.19.0 ane lower version.
+- x86_64 macOS is no longer supported since 0.30.0
+- PyTorch 1.13+ doesn't support mac 11 any more, you must use DJL 0.19.0 ane lower version.
 
 ### macOS M1
+
 For macOS M1, you can use the following library:
 
 - ai.djl.pytorch:pytorch-jni:2.3.1-0.29.0
 - ai.djl.pytorch:pytorch-native-cpu:2.3.1:osx-aarch64
 
 ```xml
+
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-native-cpu</artifactId>
@@ -152,14 +145,15 @@ For macOS M1, you can use the following library:
     <scope>runtime</scope>
 </dependency>
 <dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-jni</artifactId>
-    <version>2.3.1-0.29.0</version>
-    <scope>runtime</scope>
+<groupId>ai.djl.pytorch</groupId>
+<artifactId>pytorch-jni</artifactId>
+<version>2.3.1-0.29.0</version>
+<scope>runtime</scope>
 </dependency>
 ```
 
 ### Linux
+
 For the Linux platform, you can choose between CPU, GPU. If you have NVIDIA [CUDA](https://en.wikipedia.org/wiki/CUDA)
 installed on your GPU machine, you can use one of the following library:
 
@@ -169,6 +163,7 @@ installed on your GPU machine, you can use one of the following library:
 - ai.djl.pytorch:pytorch-native-cu121:2.3.1:linux-x86_64 - CUDA 12.1
 
 ```xml
+
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-native-cu121</artifactId>
@@ -177,10 +172,10 @@ installed on your GPU machine, you can use one of the following library:
     <scope>runtime</scope>
 </dependency>
 <dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-jni</artifactId>
-    <version>2.3.1-0.29.0</version>
-    <scope>runtime</scope>
+<groupId>ai.djl.pytorch</groupId>
+<artifactId>pytorch-jni</artifactId>
+<version>2.3.1-0.29.0</version>
+<scope>runtime</scope>
 </dependency>
 ```
 
@@ -190,6 +185,7 @@ installed on your GPU machine, you can use one of the following library:
 - ai.djl.pytorch:pytorch-native-cpu:2.3.1:linux-x86_64
 
 ```xml
+
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-native-cpu</artifactId>
@@ -198,10 +194,10 @@ installed on your GPU machine, you can use one of the following library:
     <version>2.3.1</version>
 </dependency>
 <dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-jni</artifactId>
-    <version>2.3.1-0.29.0</version>
-    <scope>runtime</scope>
+<groupId>ai.djl.pytorch</groupId>
+<artifactId>pytorch-jni</artifactId>
+<version>2.3.1-0.29.0</version>
+<scope>runtime</scope>
 </dependency>
 ```
 
@@ -211,6 +207,7 @@ installed on your GPU machine, you can use one of the following library:
 - ai.djl.pytorch:pytorch-native-cpu-precxx11:2.3.1:linux-aarch64
 
 ```xml
+
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-native-cpu-precxx11</artifactId>
@@ -219,30 +216,26 @@ installed on your GPU machine, you can use one of the following library:
     <version>2.3.1</version>
 </dependency>
 <dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-jni</artifactId>
-    <version>2.3.1-0.29.0</version>
-    <scope>runtime</scope>
+<groupId>ai.djl.pytorch</groupId>
+<artifactId>pytorch-jni</artifactId>
+<version>2.3.1-0.29.0</version>
+<scope>runtime</scope>
 </dependency>
 ```
 
 ### For Pre-CXX11 build
 
-We also provide packages for the system like CentOS 7/Ubuntu 14.04 with GLIBC >= 2.17.
-All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` in the package that contains `CXXABI_1.3.9` to use the package successfully.
+**Note:** precxx11 GPU build is no longer support since 0.30.0,
+
+We also provide packages for the system like Amazonliunx 2 with GLIBC >= 2.17.
+All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` in the package that
+contains `CXXABI_1.3.9` to use the package successfully.
 
 - ai.djl.pytorch:pytorch-jni:2.3.1-0.29.0
-- ai.djl.pytorch:pytorch-native-cu121-precxx11:2.3.1:linux-x86_64 - CUDA 12.1
-- ai.djl.pytorch:pytorch-native-cpu-precxx11:2.3.1:linux-x86_64   - CPU
+- ai.djl.pytorch:pytorch-native-cpu-precxx11:2.3.1:linux-x86_64 - CPU
 
 ```xml
-<dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-native-cu121-precxx11</artifactId>
-    <classifier>linux-x86_64</classifier>
-    <version>2.3.1</version>
-    <scope>runtime</scope>
-</dependency>
+
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-jni</artifactId>
@@ -252,6 +245,7 @@ All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` i
 ```
 
 ```xml
+
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-native-cpu-precxx11</artifactId>
@@ -260,10 +254,10 @@ All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` i
     <scope>runtime</scope>
 </dependency>
 <dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-jni</artifactId>
-    <version>2.3.1-0.29.0</version>
-    <scope>runtime</scope>
+<groupId>ai.djl.pytorch</groupId>
+<artifactId>pytorch-jni</artifactId>
+<version>2.3.1-0.29.0</version>
+<scope>runtime</scope>
 </dependency>
 ```
 
@@ -271,7 +265,8 @@ All the package were built with GCC 7, we provided a newer `libstdc++.so.6.24` i
 
 PyTorch requires Visual C++ Redistributable Packages. If you encounter an UnsatisfiedLinkError while using
 DJL on Windows, please download and install
-[Visual C++ 2019 Redistributable Packages](https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads) and reboot.
+[Visual C++ 2019 Redistributable Packages](https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads)
+and reboot.
 
 For the Windows platform, you can choose between CPU and GPU.
 
@@ -281,6 +276,7 @@ For the Windows platform, you can choose between CPU and GPU.
 - ai.djl.pytorch:pytorch-native-cu121:2.3.1:win-x86_64 - CUDA 12.1
 
 ```xml
+
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-native-cu121</artifactId>
@@ -289,10 +285,10 @@ For the Windows platform, you can choose between CPU and GPU.
     <scope>runtime</scope>
 </dependency>
 <dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-jni</artifactId>
-    <version>2.3.1-0.29.0</version>
-    <scope>runtime</scope>
+<groupId>ai.djl.pytorch</groupId>
+<artifactId>pytorch-jni</artifactId>
+<version>2.3.1-0.29.0</version>
+<scope>runtime</scope>
 </dependency>
 ```
 
@@ -302,6 +298,7 @@ For the Windows platform, you can choose between CPU and GPU.
 - ai.djl.pytorch:pytorch-native-cpu:2.3.1:win-x86_64
 
 ```xml
+
 <dependency>
     <groupId>ai.djl.pytorch</groupId>
     <artifactId>pytorch-native-cpu</artifactId>
@@ -310,9 +307,9 @@ For the Windows platform, you can choose between CPU and GPU.
     <version>2.3.1</version>
 </dependency>
 <dependency>
-    <groupId>ai.djl.pytorch</groupId>
-    <artifactId>pytorch-jni</artifactId>
-    <version>2.3.1-0.29.0</version>
-    <scope>runtime</scope>
+<groupId>ai.djl.pytorch</groupId>
+<artifactId>pytorch-jni</artifactId>
+<version>2.3.1-0.29.0</version>
+<scope>runtime</scope>
 </dependency>
 ```
diff --git a/engines/pytorch/pytorch-jni/build.gradle.kts b/engines/pytorch/pytorch-jni/build.gradle.kts
index d99ab8bec55..bcbe8250f4f 100644
--- a/engines/pytorch/pytorch-jni/build.gradle.kts
+++ b/engines/pytorch/pytorch-jni/build.gradle.kts
@@ -34,29 +34,17 @@ tasks {
             ) + when {
                 ptVersion.startsWith("2.3.") -> listOf(
                     "linux-x86_64/cu121/libdjl_torch.so",
-                    "linux-x86_64/cu121-precxx11/libdjl_torch.so",
                     "win-x86_64/cu121/djl_torch.dll"
                 )
 
                 ptVersion.startsWith("2.1.") || ptVersion.startsWith("2.2.") -> listOf(
                     "linux-x86_64/cu121/libdjl_torch.so",
-                    "linux-x86_64/cu121-precxx11/libdjl_torch.so",
                     "win-x86_64/cu121/djl_torch.dll",
-                    "osx-x86_64/cpu/libdjl_torch.dylib"
-                )
-
-                ptVersion.startsWith("2.0.") -> listOf(
-                    "linux-x86_64/cu118/libdjl_torch.so",
-                    "linux-x86_64/cu118-precxx11/libdjl_torch.so",
-                    "win-x86_64/cu118/djl_torch.dll",
-                    "osx-x86_64/cpu/libdjl_torch.dylib"
                 )
 
                 ptVersion.startsWith("1.13.") -> listOf(
                     "linux-x86_64/cu117/libdjl_torch.so",
-                    "linux-x86_64/cu117-precxx11/libdjl_torch.so",
                     "win-x86_64/cu117/djl_torch.dll",
-                    "osx-x86_64/cpu/libdjl_torch.dylib"
                 )
 
                 else -> throw GradleException("Unsupported version: $ptVersion.")
diff --git a/engines/tensorflow/tensorflow-native/build.gradle.kts b/engines/tensorflow/tensorflow-native/build.gradle.kts
index b6b2bd30dd1..ee2074e352b 100644
--- a/engines/tensorflow/tensorflow-native/build.gradle.kts
+++ b/engines/tensorflow/tensorflow-native/build.gradle.kts
@@ -42,7 +42,6 @@ tasks {
             val aarch64Url = "https://publish.djl.ai/tensorflow/${libs.versions.tensorflow.get()}/linux-arm64.jar"
 
             "${url}-macosx-arm64.jar".url unzipInto dir / "cpu/osx-aarch64/native/lib"
-            "${url}-macosx-x86_64.jar".url unzipInto dir / "cpu/osx-x86_64/native/lib"
             "${url}-windows-x86_64.jar".url unzipInto dir / "cpu/win-x86_64/native/lib"
             "${url}-linux-x86_64.jar".url unzipInto dir / "cpu/linux-x86_64/native/lib"
             "${url}-linux-x86_64-gpu.jar".url unzipInto dir / "cu121/linux-x86_64/native/lib"
diff --git a/extensions/audio/build.gradle.kts b/extensions/audio/build.gradle.kts
index ca7a59bbf4d..ee9caa190c0 100644
--- a/extensions/audio/build.gradle.kts
+++ b/extensions/audio/build.gradle.kts
@@ -26,7 +26,6 @@ dependencies {
     }
     api(libs.wendykierp.jTransforms)
 
-    runtimeOnly(libs.bytedeco.ffmpeg) { artifact { classifier = "macosx-x86_64" } }
     runtimeOnly(libs.bytedeco.ffmpeg) { artifact { classifier = "linux-x86_64" } }
     runtimeOnly(libs.bytedeco.ffmpeg) { artifact { classifier = "windows-x86_64" } }
     runtimeOnly(libs.bytedeco.ffmpeg) { artifact { classifier = "macosx-arm64" } }
diff --git a/extensions/fasttext/build.gradle.kts b/extensions/fasttext/build.gradle.kts
index c17b83d7145..1c8f463e5bb 100644
--- a/extensions/fasttext/build.gradle.kts
+++ b/extensions/fasttext/build.gradle.kts
@@ -28,7 +28,6 @@ tasks {
                 "https://publish.djl.ai/fasttext-${libs.versions.fasttext.get()}/jnilib/${libs.versions.djl.get()}"
             val files = mapOf(
                 "linux-x86_64" to "libjni_fasttext.so",
-                "osx-x86_64" to "libjni_fasttext.dylib",
                 "osx-aarch64" to "libjni_fasttext.dylib"
             )
             val jnilibDir = project.projectDir / "jnilib/${libs.versions.djl.get()}"
diff --git a/extensions/sentencepiece/build.gradle.kts b/extensions/sentencepiece/build.gradle.kts
index c634ba15494..ca484d357ee 100644
--- a/extensions/sentencepiece/build.gradle.kts
+++ b/extensions/sentencepiece/build.gradle.kts
@@ -27,7 +27,6 @@ tasks {
                 "win-x86_64" to "sentencepiece_native.dll",
                 "linux-x86_64" to "libsentencepiece_native.so",
                 "linux-aarch64" to "libsentencepiece_native.so",
-                "osx-x86_64" to "libsentencepiece_native.dylib",
                 "osx-aarch64" to "libsentencepiece_native.dylib"
             )
             val jnilibDir = project.projectDir / "jnilib/${libs.versions.djl.get()}"
diff --git a/extensions/tokenizers/build.gradle.kts b/extensions/tokenizers/build.gradle.kts
index c5410f83695..2e63b7da572 100644
--- a/extensions/tokenizers/build.gradle.kts
+++ b/extensions/tokenizers/build.gradle.kts
@@ -45,7 +45,6 @@ tasks {
                 "win-x86_64/cpu/tokenizers.dll" to "$tokenizers/jnilib/$djl",
                 "linux-x86_64/cpu/libtokenizers.so" to "$tokenizers/jnilib/$djl",
                 "linux-aarch64/cpu/libtokenizers.so" to "$tokenizers/jnilib/$djl",
-                "osx-x86_64/cpu/libtokenizers.dylib" to "$tokenizers/jnilib/$djl",
                 "osx-aarch64/cpu/libtokenizers.dylib" to "$tokenizers/jnilib/$djl"
             )
             val jnilibDir = project.projectDir / "jnilib/$djl"