diff --git a/cpp/tensorrt_llm/batch_manager/CMakeLists.txt b/cpp/tensorrt_llm/batch_manager/CMakeLists.txt
index f62c2aaf7f..95b4f1c8ac 100644
--- a/cpp/tensorrt_llm/batch_manager/CMakeLists.txt
+++ b/cpp/tensorrt_llm/batch_manager/CMakeLists.txt
@@ -21,6 +21,7 @@ set(TARGET_DIR ${CMAKE_CURRENT_SOURCE_DIR})
 set(SRCS
     allocateKvCache.cpp
     assignReqSeqSlots.cpp
+    baseTransBuffer.cpp
     cacheFormatter.cpp
     mlaCacheFormatter.cpp
     cacheTransceiver.cpp
diff --git a/cpp/tensorrt_llm/batch_manager/baseTransBuffer.cpp b/cpp/tensorrt_llm/batch_manager/baseTransBuffer.cpp
new file mode 100644
index 0000000000..e091295788
--- /dev/null
+++ b/cpp/tensorrt_llm/batch_manager/baseTransBuffer.cpp
@@ -0,0 +1,285 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "baseTransBuffer.h"
+#include "cacheTransBuffer.h"
+#include "tensorrt_llm/common/envUtils.h"
+#include "tensorrt_llm/common/logger.h"
+#include "tensorrt_llm/common/opUtils.h"
+
+#include <mutex>
+
+namespace tensorrt_llm::batch_manager
+{
+
+BaseTransBufferManager::BaseTransBufferManager(
+    size_t transferBufferSize, nvinfer1::DataType dataType, std::optional<size_t> maxNumTokens)
+    : mDataType{dataType}
+    , mBufferManager{std::make_shared<runtime::CudaStream>()}
+    , mMaxNumTokens{maxNumTokens}
+{
+    mTransferBufferSize = transferBufferSize;
+    mOnlyUseDynamicBuffer = mTransferBufferSize == 0;
+    mRecvBufferCount = common::getEnvRequestKVCacheConcurrent() ? common::getEnvKVCacheRecvBufferCount() : 1;
+    mSendBufferCount = common::getEnvKVCacheSendMaxConcurrenceNum();
+    mUseFabricMemory = !(common::getEnvKVCacheTransferUseSyncBuffer() || common::getEnvKVCacheTransferUseAsyncBuffer())
+        && kv_cache_manager::FabricMemory::supportFbaricMemory();
+    if (mUseFabricMemory)
+    {
+        mTransferBufferSize = kv_cache_manager::FabricMemory::getAlignedSize(mTransferBufferSize);
+    }
+    mPreAllocBufferSize = mTransferBufferSize * (mRecvBufferCount + mSendBufferCount);
+
+    TLLM_LOG_INFO(
+        "BaseTransBufferManager: mMaxNumTokens:%ld, mRecvBufferCount:%ld, "
+        "mSendBufferCount:%ld, mTransferBufferSize:%ld, mPreAllocBufferSize:%ld, mOnlyUseDynamicBuffer:%d, "
+        "mUseFabricMemory:%d, mDataType:%d",
+        maxNumTokens.has_value() ? maxNumTokens.value() : 0, mRecvBufferCount, mSendBufferCount, mTransferBufferSize,
+        mPreAllocBufferSize, mOnlyUseDynamicBuffer, mUseFabricMemory, static_cast<int>(mDataType));
+
+    allocateBuffer();
+}
+
+std::optional<int> BaseTransBufferManager::assignBufferIndexForSend()
+{
+    return assignBufferIndex(mConcurrenceSendResource, mSendBufferCount, mOnlyUseDynamicBuffer);
+}
+
+void BaseTransBufferManager::freeBufferIndexForSend(std::optional<int> bufferId)
+{
+    freeBufferIndex(mConcurrenceSendResource, bufferId, mSendBufferCount, mOnlyUseDynamicBuffer);
+}
+
+std::optional<int> BaseTransBufferManager::assignBufferIndexForRecv()
+{
+    return assignBufferIndex(mConcurrenceRecvResource, mRecvBufferCount, mOnlyUseDynamicBuffer);
+}
+
+void BaseTransBufferManager::freeBufferIndexForRecv(std::optional<int> bufferId)
+{
+    freeBufferIndex(mConcurrenceRecvResource, bufferId, mRecvBufferCount, mOnlyUseDynamicBuffer);
+}
+
+std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> BaseTransBufferManager::getOrAllocateSendBuffers(
+    std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
+    runtime::BufferManager const& bufferManagerToUse)
+{
+    return getOrAllocateBuffers(
+        bufferId, targetNum, requestedNumberOfElements, bufferManagerToUse, mConcurrenceSendResource);
+}
+
+std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> BaseTransBufferManager::getOrAllocateRecvBuffers(
+    std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
+    runtime::BufferManager const& bufferManagerToUse)
+{
+    return getOrAllocateBuffers(
+        bufferId, targetNum, requestedNumberOfElements, bufferManagerToUse, mConcurrenceRecvResource);
+}
+
+runtime::ITensor::SharedPtr BaseTransBufferManager::getSendBuffer(std::optional<int> bufferId)
+{
+    TLLM_CHECK(bufferId.has_value() || mOnlyUseDynamicBuffer);
+    if (bufferId.has_value())
+    {
+        TLLM_CHECK(static_cast<size_t>(bufferId.value()) < mSendBufferCount);
+        return mConcurrenceSendResource.mBuffers[bufferId.value()];
+    }
+    return nullptr;
+}
+
+runtime::ITensor::SharedPtr BaseTransBufferManager::getRecvBuffer(std::optional<int> bufferId)
+{
+    TLLM_CHECK(bufferId.has_value() || mOnlyUseDynamicBuffer);
+    if (bufferId.has_value())
+    {
+        TLLM_CHECK(static_cast<size_t>(bufferId.value()) < mRecvBufferCount);
+        // TLLM_CHECK(mConcurrenceRecvResource.mBufferIndexFlag[bufferId.value()] == 1);
+        return mConcurrenceRecvResource.mBuffers[bufferId.value()];
+    }
+    return nullptr;
+}
+
+std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> BaseTransBufferManager::getOrAllocateBuffers(
+    std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
+    runtime::BufferManager const& bufferManagerToUse, ConcurrenceResource& concurrenceResource)
+{
+    TLLM_CHECK(bufferId.has_value() || mOnlyUseDynamicBuffer);
+    TLLM_CHECK(requestedNumberOfElements.size() >= static_cast<size_t>(targetNum));
+    std::vector<runtime::ITensor::SharedPtr> retSplitCaches;
+
+    size_t bufferCoverTargetNum = 0;
+
+    if (bufferId.has_value())
+    {
+        TLLM_CHECK(static_cast<size_t>(bufferId.value()) < concurrenceResource.mBuffers.size());
+        TLLM_CHECK(concurrenceResource.mBufferIndexFlag[bufferId.value()] == 1);
+        size_t preBufferEleSize = 0;
+        for (int i = 0; i < targetNum; i++)
+        {
+            // Strict checking.
+            if (preBufferEleSize + requestedNumberOfElements[i] <= mNumberOfElements)
+            {
+                auto slice = runtime::ITensor::slice(
+                    concurrenceResource.mBuffers[bufferId.value()], preBufferEleSize, requestedNumberOfElements[i]);
+                preBufferEleSize += requestedNumberOfElements[i];
+                bufferCoverTargetNum++;
+                retSplitCaches.push_back(std::move(slice));
+            }
+            else
+            {
+                retSplitCaches.push_back(bufferManagerToUse.gpu(
+                    runtime::ITensor::makeShape({static_cast<int64_t>(requestedNumberOfElements[i])}), mDataType));
+            }
+        }
+        TLLM_LOG_DEBUG("getOrAllocateBuffers bufferCoverTargetNum:%d", bufferCoverTargetNum);
+        if (bufferCoverTargetNum < static_cast<size_t>(targetNum))
+        {
+            TLLM_LOG_WARNING(
+                "CacheTransceiver getOrAllocateBuffers: bufferCoverTargetNum:%d < targetNum:%d, may use dynamic "
+                "buffer which will fail with NIXL backend. It is recommended to set "
+                "cacheTransceiverConfig.MaxTokensInBuffer (cache_transceiver_config.max_tokens_in_buffer in config "
+                "YAML file) to a value greater than the maximum ISL of the processed requests. Otherwise, performance "
+                "may be degraded or transfer may fail.  requestedNumberOfElements.size():%ld, "
+                "mNumberOfElements:%ld, requestedNumberOfElements[0]:%ld",
+                bufferCoverTargetNum, targetNum, requestedNumberOfElements.size(), mNumberOfElements,
+                requestedNumberOfElements[0]);
+        }
+    }
+    else
+    {
+        for (int i = 0; i < targetNum; i++)
+        {
+            retSplitCaches.push_back(bufferManagerToUse.gpu(
+                runtime::ITensor::makeShape({static_cast<int64_t>(requestedNumberOfElements[i])}), mDataType));
+        }
+        bufferCoverTargetNum = targetNum;
+    }
+
+    return std::make_tuple(retSplitCaches, bufferCoverTargetNum, mOnlyUseDynamicBuffer);
+}
+
+void BaseTransBufferManager::allocateBuffer()
+{
+    if (mOnlyUseDynamicBuffer)
+    {
+        return;
+    }
+    mNumberOfElements = mTransferBufferSize / common::getDTypeSize(mDataType);
+    mConcurrenceSendResource.mBufferIndexFlag.resize(mSendBufferCount, 0);
+    mConcurrenceRecvResource.mBufferIndexFlag.resize(mRecvBufferCount, 0);
+    if (mUseFabricMemory)
+    {
+        mFabricMemory.reserve(mSendBufferCount + mRecvBufferCount);
+        for (size_t i = 0; i < mSendBufferCount; i++)
+        {
+            mFabricMemory.emplace_back(std::make_unique<kv_cache_manager::FabricMemory>(mTransferBufferSize));
+            mConcurrenceSendResource.mBuffers[i] = runtime::ITensor::wrap(mFabricMemory.back()->getPtr(), mDataType,
+                runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mNumberOfElements);
+        }
+        for (size_t i = 0; i < mRecvBufferCount; i++)
+        {
+            mFabricMemory.emplace_back(std::make_unique<kv_cache_manager::FabricMemory>(mTransferBufferSize));
+            mConcurrenceRecvResource.mBuffers[i] = runtime::ITensor::wrap(mFabricMemory.back()->getPtr(), mDataType,
+                runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mNumberOfElements);
+        }
+    }
+    else if (common::getEnvKVCacheTransferUseAsyncBuffer())
+    {
+        for (size_t i = 0; i < mSendBufferCount; i++)
+        {
+            mConcurrenceSendResource.mBuffers[i]
+                = mBufferManager.gpu(runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mDataType);
+        }
+        for (size_t i = 0; i < mRecvBufferCount; i++)
+        {
+            mConcurrenceRecvResource.mBuffers[i]
+                = mBufferManager.gpu(runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mDataType);
+        }
+        mBufferManager.getStream().synchronize();
+    }
+    else
+    {
+        for (size_t i = 0; i < mSendBufferCount; i++)
+        {
+            mConcurrenceSendResource.mBuffers[i] = mBufferManager.gpuSync(
+                runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mDataType);
+        }
+        for (size_t i = 0; i < mRecvBufferCount; i++)
+        {
+            mConcurrenceRecvResource.mBuffers[i] = mBufferManager.gpuSync(
+                runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mDataType);
+        }
+    }
+}
+
+std::optional<int> BaseTransBufferManager::assignBufferIndex(
+    ConcurrenceResource& resource, size_t bufferCount, bool onlyUseDynamicBuffer)
+{
+    if (onlyUseDynamicBuffer)
+    {
+        return std::nullopt;
+    }
+    std::unique_lock lk(resource.mBuffersMutex);
+    resource.mBuffersCV.wait(
+        lk, [&resource, bufferCount]() { return static_cast<size_t>(resource.mConcurrence) < bufferCount; });
+    int bufferId = -1;
+    for (size_t i = 0; i < bufferCount; i++)
+    {
+        if (resource.mBufferIndexFlag[i] == 0)
+        {
+            bufferId = i;
+            resource.mBufferIndexFlag[bufferId] = 1;
+            resource.mConcurrence++;
+            break;
+        }
+    }
+    TLLM_CHECK_WITH_INFO(bufferId >= 0 && static_cast<size_t>(bufferId) < bufferCount,
+        " assignBufferIndex: Buffer index already assigned");
+
+    return bufferId;
+}
+
+void BaseTransBufferManager::freeBufferIndex(
+    ConcurrenceResource& resource, std::optional<int> bufferId, size_t bufferCount, bool onlyUseDynamicBuffer)
+{
+    if (onlyUseDynamicBuffer)
+    {
+        return;
+    }
+    if (bufferId.has_value())
+    {
+        TLLM_CHECK(static_cast<size_t>(bufferId.value()) < bufferCount);
+        {
+            std::scoped_lock lk(resource.mBuffersMutex);
+            resource.mBufferIndexFlag[bufferId.value()] = 0;
+        }
+        resource.mConcurrence--;
+        resource.mBuffersCV.notify_one();
+    }
+}
+
+size_t BaseTransBufferManager::getRecvBufferCount()
+{
+    return mRecvBufferCount;
+}
+
+size_t BaseTransBufferManager::getSendBufferCount()
+{
+    return mSendBufferCount;
+}
+
+} // namespace tensorrt_llm::batch_manager
diff --git a/cpp/tensorrt_llm/batch_manager/baseTransBuffer.h b/cpp/tensorrt_llm/batch_manager/baseTransBuffer.h
new file mode 100644
index 0000000000..ec311e5c40
--- /dev/null
+++ b/cpp/tensorrt_llm/batch_manager/baseTransBuffer.h
@@ -0,0 +1,144 @@
+/*
+ * SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include "tensorrt_llm/runtime/bufferManager.h"
+#include "tensorrt_llm/runtime/iTensor.h"
+
+#include <atomic>
+#include <condition_variable>
+#include <cstddef>
+#include <memory>
+#include <mutex>
+#include <optional>
+#include <tuple>
+#include <unordered_map>
+#include <vector>
+
+namespace tensorrt_llm::batch_manager::kv_cache_manager
+{
+class FabricMemory;
+} // namespace tensorrt_llm::batch_manager::kv_cache_manager
+
+namespace tensorrt_llm::batch_manager
+{
+
+/// @brief Base class for cache transfer buffer management.
+/// Handles buffer pool allocation, index assignment, and slicing.
+/// Derived classes provide cache-specific size calculations.
+class BaseTransBufferManager
+{
+public:
+    virtual ~BaseTransBufferManager() = default;
+
+    /// @brief Assign a buffer index for sending.
+    /// @return Assigned buffer index, or nullopt if using dynamic buffers.
+    std::optional<int> assignBufferIndexForSend();
+
+    /// @brief Free a buffer index used for sending.
+    /// @param bufferId The buffer index to free.
+    void freeBufferIndexForSend(std::optional<int> bufferId);
+
+    /// @brief Assign a buffer index for receiving.
+    /// @return Assigned buffer index, or nullopt if using dynamic buffers.
+    std::optional<int> assignBufferIndexForRecv();
+
+    /// @brief Free a buffer index used for receiving.
+    /// @param bufferId The buffer index to free.
+    void freeBufferIndexForRecv(std::optional<int> bufferId);
+
+    /// @brief Get or allocate send buffers for cache transfer.
+    /// @param bufferId The assigned buffer ID.
+    /// @param targetNum Number of target sequences.
+    /// @param requestedNumberOfElements Sizes requested for each target.
+    /// @param bufferManagerToUse Buffer manager for dynamic allocation.
+    /// @return Tuple of (buffers, covered target count, is dynamic only).
+    std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> getOrAllocateSendBuffers(
+        std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
+        runtime::BufferManager const& bufferManagerToUse);
+
+    /// @brief Get or allocate receive buffers for cache transfer.
+    /// @param bufferId The assigned buffer ID.
+    /// @param targetNum Number of target sequences.
+    /// @param requestedNumberOfElements Sizes requested for each target.
+    /// @param bufferManagerToUse Buffer manager for dynamic allocation.
+    /// @return Tuple of (buffers, covered target count, is dynamic only).
+    std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> getOrAllocateRecvBuffers(
+        std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
+        runtime::BufferManager const& bufferManagerToUse);
+
+    /// @brief Get the send buffer for a given buffer ID.
+    runtime::ITensor::SharedPtr getSendBuffer(std::optional<int> bufferId);
+
+    /// @brief Get the receive buffer for a given buffer ID.
+    runtime::ITensor::SharedPtr getRecvBuffer(std::optional<int> bufferId);
+
+    /// @brief Get the number of receive buffers.
+    size_t getRecvBufferCount();
+
+    /// @brief Get the number of send buffers.
+    size_t getSendBufferCount();
+
+    /// @brief Get the maximum number of tokens configured.
+    std::optional<size_t> getMaxNumTokens()
+    {
+        return mMaxNumTokens;
+    }
+
+protected:
+    /// @brief Constructor - derived classes call this after computing buffer sizes.
+    /// @param transferBufferSize Size of each transfer buffer in bytes.
+    /// @param dataType Data type for the buffers.
+    /// @param maxNumTokens Optional max tokens for sizing.
+    BaseTransBufferManager(
+        size_t transferBufferSize, nvinfer1::DataType dataType, std::optional<size_t> maxNumTokens = std::nullopt);
+
+    struct ConcurrenceResource
+    {
+        std::unordered_map<int, runtime::ITensor::SharedPtr> mBuffers;
+        std::vector<int> mBufferIndexFlag;
+        std::mutex mBuffersMutex;
+        std::condition_variable mBuffersCV;
+        std::atomic<int> mConcurrence{0};
+    };
+
+    std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> getOrAllocateBuffers(std::optional<int> bufferId,
+        int targetNum, std::vector<size_t> const& requestedNumberOfElements,
+        runtime::BufferManager const& bufferManagerToUse, ConcurrenceResource& concurrenceResource);
+
+    void allocateBuffer();
+    std::optional<int> assignBufferIndex(ConcurrenceResource& resource, size_t bufferCount, bool onlyUseDynamicBuffer);
+    void freeBufferIndex(
+        ConcurrenceResource& resource, std::optional<int> bufferId, size_t bufferCount, bool onlyUseDynamicBuffer);
+
+    size_t mPreAllocBufferSize;
+    size_t mRecvBufferCount;
+    size_t mSendBufferCount;
+    size_t mTransferBufferSize;
+    bool mOnlyUseDynamicBuffer;
+    bool mUseFabricMemory;
+    size_t mNumberOfElements;
+    nvinfer1::DataType mDataType;
+    ConcurrenceResource mConcurrenceSendResource;
+    ConcurrenceResource mConcurrenceRecvResource;
+    runtime::BufferManager mBufferManager;
+    std::vector<std::unique_ptr<kv_cache_manager::FabricMemory>> mFabricMemory;
+    std::optional<size_t> mMaxNumTokens;
+};
+
+} // namespace tensorrt_llm::batch_manager
diff --git a/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.cpp b/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.cpp
index 347325d4a1..fca4419f22 100644
--- a/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.cpp
+++ b/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.cpp
@@ -20,12 +20,17 @@
 #include "tensorrt_llm/common/logger.h"
 #include "tensorrt_llm/common/opUtils.h"
 #include "tensorrt_llm/executor/executor.h"
+
 #include <NvInferRuntimeBase.h>
 #include <mutex>
 
 namespace tensorrt_llm::batch_manager::kv_cache_manager
 {
 
+// ============================================================================
+// FabricMemory Implementation
+// ============================================================================
+
 class FabricMemory::Impl
 {
 public:
@@ -182,45 +187,46 @@ bool FabricMemory::supportFbaricMemory()
 #endif
 }
 
-CacheTransBufferManager::CacheTransBufferManager(
+// ============================================================================
+// CacheTransBufferManager Implementation
+// ============================================================================
+
+size_t CacheTransBufferManager::computeTransferBufferSize(
     KVCacheManager::BaseKVCacheManager* cacheManager, std::optional<size_t> maxNumTokens, bool transferIndexerKCache)
-    : mCacheManager{cacheManager}
-    , mBufferManager{std::make_shared<runtime::CudaStream>()}
-    , mMaxNumTokens{maxNumTokens}
 {
-    // TODO: FP4 dataSize
-    TLLM_CHECK(mCacheManager);
+    nvinfer1::DataType dataType;
     if (transferIndexerKCache)
     {
-        mDataType = mCacheManager->getIndexerKCachePool()->getDataType();
+        dataType = cacheManager->getIndexerKCachePool()->getDataType();
     }
     else
     {
-        mDataType = mCacheManager->getPrimaryPool(0)->getDataType();
+        dataType = cacheManager->getPrimaryPool(0)->getDataType();
     }
 
-    auto tokensPerBlock = mCacheManager->getBlockManager().getTokensPerBlock();
+    auto tokensPerBlock = cacheManager->getBlockManager().getTokensPerBlock();
     size_t bufferSizeFromMaxNumToken = 0;
+
     if (maxNumTokens.has_value())
     {
         TLLM_CHECK(maxNumTokens.value() % tokensPerBlock == 0);
-        auto dataSize = common::getDTypeSize(mDataType);
+        auto dataSize = common::getDTypeSize(dataType);
         SizeType32 kvCacheByteSizePerTokenPerLayer = 0;
         if (transferIndexerKCache)
         {
             kvCacheByteSizePerTokenPerLayer
-                = mCacheManager->getIndexerKCachePool()->getDimension<-1>() * dataSize / tokensPerBlock;
+                = cacheManager->getIndexerKCachePool()->getDimension<-1>() * dataSize / tokensPerBlock;
         }
         else
         {
-            auto primaryPool = mCacheManager->getPrimaryPool(0);
+            auto primaryPool = cacheManager->getPrimaryPool(0);
             kvCacheByteSizePerTokenPerLayer
                 = primaryPool->getDimension<-1>() * primaryPool->getDimension<2>() * dataSize / tokensPerBlock;
         }
-        for (auto layerId = 0; layerId < mCacheManager->getBlockManager().getNumLayers(); layerId++)
+        for (auto layerId = 0; layerId < cacheManager->getBlockManager().getNumLayers(); layerId++)
         {
-            auto poolIdx = mCacheManager->getBlockManager().getLayerPoolIdx(layerId);
-            auto windowSize = static_cast<size_t>(mCacheManager->getBlockManager().getPoolWindowSize(poolIdx));
+            auto poolIdx = cacheManager->getBlockManager().getLayerPoolIdx(layerId);
+            auto windowSize = static_cast<size_t>(cacheManager->getBlockManager().getPoolWindowSize(poolIdx));
             auto alignedWindowSize = (windowSize + tokensPerBlock - 1) / tokensPerBlock * tokensPerBlock;
             auto validTokenNum = (alignedWindowSize < maxNumTokens.value() ? alignedWindowSize : maxNumTokens.value());
             if (common::getEnvKVCacheTransferAllBlocksForWindow())
@@ -233,26 +239,20 @@ CacheTransBufferManager::CacheTransBufferManager(
         }
     }
 
-    mTransferBufferSize
-        = maxNumTokens.has_value() ? bufferSizeFromMaxNumToken : common::getEnvMemSizeForKVCacheTransferBuffer();
-    mOnlyUseDynamicBuffer = mTransferBufferSize == 0;
-    mRecvBufferCount = common::getEnvRequestKVCacheConcurrent() ? common::getEnvKVCacheRecvBufferCount() : 1;
-    mSendBufferCount = common::getEnvKVCacheSendMaxConcurrenceNum();
-    mUseFabricMemory = !(common::getEnvKVCacheTransferUseSyncBuffer() || common::getEnvKVCacheTransferUseAsyncBuffer())
-        && FabricMemory::supportFbaricMemory();
-    if (mUseFabricMemory)
-    {
-        mTransferBufferSize = FabricMemory::getAlignedSize(mTransferBufferSize);
-    }
-    mPreAllocBufferSize = mTransferBufferSize * (mRecvBufferCount + mSendBufferCount);
-    TLLM_LOG_INFO(
-        "CacheTransBufferManager: mMaxNumTokens:%ld, mRecvBufferCount:%ld, "
-        "mSendBufferCount:%ld,mTransferBufferSize:%ld, mPreAllocBufferSize:%ld,mOnlyUseDynamicBuffer:%d "
-        "mUseFabricMemory:%d mDataType:%d",
-        maxNumTokens.has_value() ? maxNumTokens.value() : 0, mRecvBufferCount, mSendBufferCount, mTransferBufferSize,
-        mPreAllocBufferSize, mOnlyUseDynamicBuffer, mUseFabricMemory, mDataType);
+    return maxNumTokens.has_value() ? bufferSizeFromMaxNumToken : common::getEnvMemSizeForKVCacheTransferBuffer();
+}
 
-    allocateBuffer();
+CacheTransBufferManager::CacheTransBufferManager(
+    KVCacheManager::BaseKVCacheManager* cacheManager, std::optional<size_t> maxNumTokens, bool transferIndexerKCache)
+    : BaseTransBufferManager(computeTransferBufferSize(cacheManager, maxNumTokens, transferIndexerKCache),
+        transferIndexerKCache ? cacheManager->getIndexerKCachePool()->getDataType()
+                              : cacheManager->getPrimaryPool(0)->getDataType(),
+        maxNumTokens)
+    , mCacheManager{cacheManager}
+{
+    // TODO: FP4 dataSize
+    TLLM_CHECK(mCacheManager);
+    TLLM_LOG_INFO("CacheTransBufferManager created for KV cache");
 }
 
 size_t CacheTransBufferManager::preAllocBufferSize(
@@ -298,233 +298,4 @@ size_t CacheTransBufferManager::preAllocBufferSize(
     return preAllocBufferSize;
 }
 
-std::optional<int> CacheTransBufferManager::assignBufferIndexForSend()
-{
-    return assignBufferIndex(mConcurrenceSendResource, mSendBufferCount, mOnlyUseDynamicBuffer);
-}
-
-void CacheTransBufferManager::freeBufferIndexForSend(std::optional<int> bufferId)
-{
-    freeBufferIndex(mConcurrenceSendResource, bufferId, mSendBufferCount, mOnlyUseDynamicBuffer);
-}
-
-std::optional<int> CacheTransBufferManager::assignBufferIndexForRecv()
-{
-    return assignBufferIndex(mConcurrenceRecvResource, mRecvBufferCount, mOnlyUseDynamicBuffer);
-}
-
-void CacheTransBufferManager::freeBufferIndexForRecv(std::optional<int> bufferId)
-{
-    freeBufferIndex(mConcurrenceRecvResource, bufferId, mRecvBufferCount, mOnlyUseDynamicBuffer);
-}
-
-std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> CacheTransBufferManager::getOrAllocateSendBuffers(
-    std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
-    runtime::BufferManager const& bufferManagerToUse)
-{
-    return getOrAllocateBuffers(
-        bufferId, targetNum, requestedNumberOfElements, bufferManagerToUse, mConcurrenceSendResource);
-}
-
-std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> CacheTransBufferManager::getOrAllocateRecvBuffers(
-    std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
-    runtime::BufferManager const& bufferManagerToUse)
-{
-    return getOrAllocateBuffers(
-        bufferId, targetNum, requestedNumberOfElements, bufferManagerToUse, mConcurrenceRecvResource);
-}
-
-runtime::ITensor::SharedPtr CacheTransBufferManager::getSendBuffer(std::optional<int> bufferId)
-{
-    TLLM_CHECK(bufferId.has_value() || mOnlyUseDynamicBuffer);
-    if (bufferId.has_value())
-    {
-        TLLM_CHECK(static_cast<size_t>(bufferId.value()) < mSendBufferCount);
-        return mConcurrenceSendResource.mBuffers[bufferId.value()];
-    }
-    return nullptr;
-}
-
-runtime::ITensor::SharedPtr CacheTransBufferManager::getRecvBuffer(std::optional<int> bufferId)
-{
-    TLLM_CHECK(bufferId.has_value() || mOnlyUseDynamicBuffer);
-    if (bufferId.has_value())
-    {
-        TLLM_CHECK(static_cast<size_t>(bufferId.value()) < mRecvBufferCount);
-        // TLLM_CHECK(mConcurrenceRecvResource.mBufferIndexFlag[bufferId.value()] == 1);
-        return mConcurrenceRecvResource.mBuffers[bufferId.value()];
-    }
-    return nullptr;
-}
-
-std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> CacheTransBufferManager::getOrAllocateBuffers(
-    std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
-    runtime::BufferManager const& bufferManagerToUse, ConcurrenceResource& concurrenceResource)
-{
-    TLLM_CHECK(bufferId.has_value() || mOnlyUseDynamicBuffer);
-    TLLM_CHECK(requestedNumberOfElements.size() >= static_cast<size_t>(targetNum));
-    std::vector<runtime::ITensor::SharedPtr> retSplitCaches;
-
-    size_t bufferCoverTargetNum = 0;
-
-    if (bufferId.has_value())
-    {
-        TLLM_CHECK(static_cast<size_t>(bufferId.value()) < concurrenceResource.mBuffers.size());
-        TLLM_CHECK(concurrenceResource.mBufferIndexFlag[bufferId.value()] == 1);
-        size_t preBufferEleSize = 0;
-        for (int i = 0; i < targetNum; i++)
-        {
-            // Strict checking.
-            if (preBufferEleSize + requestedNumberOfElements[i] <= mNumberOfElements)
-            {
-                auto slice = runtime::ITensor::slice(
-                    concurrenceResource.mBuffers[bufferId.value()], preBufferEleSize, requestedNumberOfElements[i]);
-                preBufferEleSize += requestedNumberOfElements[i];
-                bufferCoverTargetNum++;
-                retSplitCaches.push_back(std::move(slice));
-            }
-            else
-            {
-                retSplitCaches.push_back(bufferManagerToUse.gpu(
-                    runtime::ITensor::makeShape({static_cast<int64_t>(requestedNumberOfElements[i])}), mDataType));
-            }
-        }
-        TLLM_LOG_DEBUG("getOrAllocateBuffers bufferCoverTargetNum:%d", bufferCoverTargetNum);
-        if (bufferCoverTargetNum < static_cast<size_t>(targetNum))
-        {
-            TLLM_LOG_WARNING(
-                "CacheTransceiver getOrAllocateBuffers: bufferCoverTargetNum:%d < targetNum:%d, may use dynamic "
-                "buffer which will fail with NIXL backend. It is recommended to set "
-                "cacheTransceiverConfig.MaxTokensInBuffer (cache_transceiver_config.max_tokens_in_buffer in config "
-                "YAML file) to a value greater than the maximum ISL of the processed requests. Otherwise, performance "
-                "may be degraded or transfer may fail.  requestedNumberOfElements.size():%ld, "
-                "mNumberOfElements:%ld, requestedNumberOfElements[0]:%ld",
-                bufferCoverTargetNum, targetNum, requestedNumberOfElements.size(), mNumberOfElements,
-                requestedNumberOfElements[0]);
-        }
-    }
-    else
-    {
-        for (int i = 0; i < targetNum; i++)
-        {
-            retSplitCaches.push_back(bufferManagerToUse.gpu(
-                runtime::ITensor::makeShape({static_cast<int64_t>(requestedNumberOfElements[i])}), mDataType));
-        }
-        bufferCoverTargetNum = targetNum;
-    }
-
-    return std::make_tuple(retSplitCaches, bufferCoverTargetNum, mOnlyUseDynamicBuffer);
-}
-
-void CacheTransBufferManager::allocateBuffer()
-{
-    if (mOnlyUseDynamicBuffer)
-    {
-        return;
-    }
-    mNumberOfElements = mTransferBufferSize / common::getDTypeSize(mDataType);
-    mConcurrenceSendResource.mBufferIndexFlag.resize(mSendBufferCount, 0);
-    mConcurrenceRecvResource.mBufferIndexFlag.resize(mRecvBufferCount, 0);
-    if (mUseFabricMemory)
-    {
-        mFabricMemory.reserve(mSendBufferCount + mRecvBufferCount);
-        for (size_t i = 0; i < mSendBufferCount; i++)
-        {
-            mFabricMemory.emplace_back(std::make_unique<FabricMemory>(mTransferBufferSize));
-            mConcurrenceSendResource.mBuffers[i] = runtime::ITensor::wrap(mFabricMemory.back()->getPtr(), mDataType,
-                runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mNumberOfElements);
-        }
-        for (size_t i = 0; i < mRecvBufferCount; i++)
-        {
-            mFabricMemory.emplace_back(std::make_unique<FabricMemory>(mTransferBufferSize));
-            mConcurrenceRecvResource.mBuffers[i] = runtime::ITensor::wrap(mFabricMemory.back()->getPtr(), mDataType,
-                runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mNumberOfElements);
-        }
-    }
-    else if (common::getEnvKVCacheTransferUseAsyncBuffer())
-    {
-        for (size_t i = 0; i < mSendBufferCount; i++)
-        {
-            mConcurrenceSendResource.mBuffers[i]
-                = mBufferManager.gpu(runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mDataType);
-        }
-        for (size_t i = 0; i < mRecvBufferCount; i++)
-        {
-            mConcurrenceRecvResource.mBuffers[i]
-                = mBufferManager.gpu(runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mDataType);
-        }
-        mBufferManager.getStream().synchronize();
-    }
-    else
-    {
-        for (size_t i = 0; i < mSendBufferCount; i++)
-        {
-            mConcurrenceSendResource.mBuffers[i] = mBufferManager.gpuSync(
-                runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mDataType);
-        }
-        for (size_t i = 0; i < mRecvBufferCount; i++)
-        {
-            mConcurrenceRecvResource.mBuffers[i] = mBufferManager.gpuSync(
-                runtime::ITensor::makeShape({static_cast<int64_t>(mNumberOfElements)}), mDataType);
-        }
-    }
-}
-
-std::optional<int> CacheTransBufferManager::assignBufferIndex(
-    ConcurrenceResource& resource, size_t bufferCount, bool onlyUseDynamicBuffer)
-{
-    if (onlyUseDynamicBuffer)
-    {
-        return std::nullopt;
-    }
-    std::unique_lock lk(resource.mBuffersMutex);
-    resource.mBuffersCV.wait(
-        lk, [&resource, bufferCount]() { return static_cast<size_t>(resource.mConcurrence) < bufferCount; });
-    int bufferId = -1;
-    for (size_t i = 0; i < bufferCount; i++)
-    {
-        if (resource.mBufferIndexFlag[i] == 0)
-        {
-            bufferId = i;
-            resource.mBufferIndexFlag[bufferId] = 1;
-            resource.mConcurrence++;
-            break;
-        }
-    }
-    TLLM_CHECK_WITH_INFO(bufferId >= 0 && static_cast<size_t>(bufferId) < bufferCount,
-        " assignBufferIndex: Buffer index already assigned");
-
-    return bufferId;
-}
-
-void CacheTransBufferManager::freeBufferIndex(
-    ConcurrenceResource& resource, std::optional<int> bufferId, size_t bufferCount, bool onlyUseDynamicBuffer)
-{
-    if (onlyUseDynamicBuffer)
-    {
-        return;
-    }
-    if (bufferId.has_value())
-    {
-
-        TLLM_CHECK(static_cast<size_t>(bufferId.value()) < bufferCount);
-        {
-            std::scoped_lock lk(resource.mBuffersMutex);
-            resource.mBufferIndexFlag[bufferId.value()] = 0;
-        }
-        resource.mConcurrence--;
-        resource.mBuffersCV.notify_one();
-    }
-}
-
-size_t CacheTransBufferManager::getRecvBufferCount()
-{
-    return mRecvBufferCount;
-}
-
-size_t CacheTransBufferManager::getSendBufferCount()
-{
-    return mSendBufferCount;
-}
-
 } // namespace tensorrt_llm::batch_manager::kv_cache_manager
diff --git a/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.h b/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.h
index 9e92914ec0..96c1314944 100644
--- a/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.h
+++ b/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.h
@@ -17,13 +17,16 @@
 
 #pragma once
 
+#include "tensorrt_llm/batch_manager/baseTransBuffer.h"
 #include "tensorrt_llm/batch_manager/kvCacheManager.h"
 #include "tensorrt_llm/executor/executor.h"
 #include "tensorrt_llm/runtime/bufferManager.h"
 #include "tensorrt_llm/runtime/iTensor.h"
+
 #include <atomic>
 #include <condition_variable>
 #include <cstddef>
+#include <map>
 #include <optional>
 #include <unordered_map>
 #include <vector>
@@ -54,7 +57,9 @@ private:
     std::unique_ptr<Impl> pImpl;
 };
 
-class CacheTransBufferManager
+/// @brief KV Cache specific transfer buffer manager.
+/// Inherits common buffer management from BaseTransBufferManager.
+class CacheTransBufferManager : public BaseTransBufferManager
 {
 public:
     CacheTransBufferManager(KVCacheManager::BaseKVCacheManager* cacheManager,
@@ -64,62 +69,18 @@ public:
         SizeType32 tokensPerBlock,
         std::optional<executor::CacheTransceiverConfig> const& cacheTransceiverConfig = std::nullopt);
 
-    std::optional<int> assignBufferIndexForSend();
-    void freeBufferIndexForSend(std::optional<int> bufferId);
-    std::optional<int> assignBufferIndexForRecv();
-    void freeBufferIndexForRecv(std::optional<int> bufferId);
-
-    std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> getOrAllocateSendBuffers(
-        std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
-        runtime::BufferManager const& bufferManagerToUse);
-
-    std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> getOrAllocateRecvBuffers(
-        std::optional<int> bufferId, int targetNum, std::vector<size_t> const& requestedNumberOfElements,
-        runtime::BufferManager const& bufferManagerToUse);
-
-    runtime::ITensor::SharedPtr getSendBuffer(std::optional<int> bufferId);
-    runtime::ITensor::SharedPtr getRecvBuffer(std::optional<int> bufferId);
-    size_t getRecvBufferCount();
-    size_t getSendBufferCount();
-
-    std::optional<size_t> getMaxNumTokens()
+    /// @brief Get the KV cache manager.
+    [[nodiscard]] KVCacheManager::BaseKVCacheManager* getCacheManager() const noexcept
     {
-        return mMaxNumTokens;
+        return mCacheManager;
     }
 
 private:
-    struct ConcurrenceResource
-    {
-        std::unordered_map<int, runtime::ITensor::SharedPtr> mBuffers;
-        std::vector<int> mBufferIndexFlag;
-        std::mutex mBuffersMutex;
-        std::condition_variable mBuffersCV;
-        std::atomic<int> mConcurrence = 0;
-    };
+    /// @brief Compute transfer buffer size from KV cache configuration.
+    static size_t computeTransferBufferSize(KVCacheManager::BaseKVCacheManager* cacheManager,
+        std::optional<size_t> maxNumTokens, bool transferIndexerKCache);
 
-    std::tuple<std::vector<runtime::ITensor::SharedPtr>, size_t, bool> getOrAllocateBuffers(std::optional<int> bufferId,
-        int targetNum, std::vector<size_t> const& requestedNumberOfElements,
-        runtime::BufferManager const& bufferManagerToUse, ConcurrenceResource& concurrenceResource);
-
-    void allocateBuffer();
-    std::optional<int> assignBufferIndex(ConcurrenceResource& resource, size_t bufferCount, bool onlyUseDynamicBuffer);
-    void freeBufferIndex(
-        ConcurrenceResource& resource, std::optional<int> bufferId, size_t bufferCount, bool onlyUseDynamicBuffer);
-
-    size_t mPreAllocBufferSize;
-    size_t mRecvBufferCount;
-    size_t mSendBufferCount;
-    size_t mTransferBufferSize;
-    bool mOnlyUseDynamicBuffer;
-    bool mUseFabricMemory;
-    size_t mNumberOfElements;
-    nvinfer1::DataType mDataType;
-    ConcurrenceResource mConcurrenceSendResource;
-    ConcurrenceResource mConcurrenceRecvResource;
     KVCacheManager::BaseKVCacheManager* mCacheManager;
-    runtime::BufferManager mBufferManager;
-    std::vector<std::unique_ptr<FabricMemory>> mFabricMemory;
-    std::optional<size_t> mMaxNumTokens;
 };
 
 } // namespace tensorrt_llm::batch_manager::kv_cache_manager