diff --git a/src/main/java/com/bipt/intelligentapplicationorchestrationservice/service/CacheManager.java b/src/main/java/com/bipt/intelligentapplicationorchestrationservice/service/CacheManager.java
index 2d470b8..377e093 100644
--- a/src/main/java/com/bipt/intelligentapplicationorchestrationservice/service/CacheManager.java
+++ b/src/main/java/com/bipt/intelligentapplicationorchestrationservice/service/CacheManager.java
@@ -3,8 +3,10 @@ package com.bipt.intelligentapplicationorchestrationservice.service;
 import com.bipt.intelligentapplicationorchestrationservice.mapper.GpuResourceDao;
 import com.bipt.intelligentapplicationorchestrationservice.exception.CacheInitException;
 import com.bipt.intelligentapplicationorchestrationservice.entity.GpuResource;
+import com.fasterxml.jackson.databind.ObjectMapper;
 import jakarta.annotation.PostConstruct;
 import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.data.redis.RedisConnectionFailureException;
@@ -18,7 +20,6 @@ import java.util.List;
 import java.util.concurrent.TimeUnit;
 import java.util.concurrent.locks.ReentrantLock;
 
-@Transactional  // 添加类级别事务管理
 @Component
 public class CacheManager {
     @Autowired
@@ -27,6 +28,9 @@ public class CacheManager {
     @Autowired
     private GpuResourceDao gpuResourceDao;
 
+    @Autowired
+    private ObjectMapper objectMapper; // 注入ObjectMapper用于类型转换
+
     private final ReentrantLock lock = new ReentrantLock();
 
     @Value("${cache.redis-key-prefix:gpu:}")
@@ -38,9 +42,9 @@ public class CacheManager {
     @Value("${cache.init-batch-size:500}")
     private int initBatchSize;
 
-    private static final Logger log = org.slf4j.LoggerFactory.getLogger(CacheManager.class);
+    private static final Logger log = LoggerFactory.getLogger(CacheManager.class);
+
     // 全量加载（带分页和分布式锁）
-    @Transactional(propagation = Propagation.REQUIRED)  // 方法级别覆盖
     @PostConstruct
     public void loadFullCache() {
         if (tryLock()) {
@@ -82,16 +86,12 @@ public class CacheManager {
     // 带随机TTL的缓存设置
     private void setCacheWithTTL(GpuResource entity) {
         String key = buildKey(entity.getGPUId().toString());
-        GpuResource cached = (GpuResource) redisTemplate.opsForValue().get(key);
 
-        // 保留原有内存字段值
-        if (cached != null && cached.getGPUMemorySize() != null) {
-            entity.setGPUMemorySize(cached.getGPUMemorySize());
-        }
+        // 直接存储实体对象，确保类型一致性
         redisTemplate.opsForValue().set(
                 key,
                 entity,
-                ttlBase + (int)(Math.random() * 600), // 随机TTL防止雪崩
+                ttlBase + (int)(Math.random() * 600),
                 TimeUnit.SECONDS
         );
     }
@@ -114,6 +114,7 @@ public class CacheManager {
     private void unlock() {
         lock.unlock();
     }
+
     // 分页加载入口
     public void loadFullCache(int batchSize) {
         int page = 0;
@@ -121,12 +122,11 @@ public class CacheManager {
             List<GpuResource> batch = gpuResourceDao.findByPage(page * batchSize, batchSize);
             if (batch.isEmpty()) break;
 
-            batch.forEach(this::refreshWithRetry); // 带重试的刷新逻辑
+            batch.forEach(this::refreshWithRetry);
             page++;
         }
     }
 
-
     // 带重试机制的缓存刷新
     public void refreshWithRetry(GpuResource entity) {
         try {
@@ -135,7 +135,7 @@ public class CacheManager {
             // 3次重试逻辑
             for (int i = 0; i < 3; i++) {
                 try {
-                    log.info("重试第 {} 次", i + 1); // 添加日志
+                    log.info("重试第 {} 次", i + 1);
                     Thread.sleep(1000);
                     setCacheWithTTL(entity);
                     return;
@@ -148,7 +148,6 @@ public class CacheManager {
                     Thread.currentThread().interrupt();
                 }
             }
-
         }
     }
 
@@ -162,8 +161,35 @@ public class CacheManager {
         redisTemplate.delete(key);
     }
 
+    // 修改获取缓存的方法，增加类型安全处理
+    @SuppressWarnings("unchecked")
     public GpuResource getFromCache(String gpuId) {
-        return (GpuResource) redisTemplate.opsForValue().get("gpu:" + gpuId);
-    }
+        String key = buildKey(gpuId);
+        Object value = redisTemplate.opsForValue().get(key);
 
-}
+        // 处理可能的类型不匹配问题
+        if (value == null) {
+            return null;
+        }
+
+        try {
+            // 优先尝试直接转换
+            if (value instanceof GpuResource) {
+                return (GpuResource) value;
+            }
+            // 如果是LinkedHashMap，使用ObjectMapper转换
+            else if (value instanceof java.util.LinkedHashMap) {
+                return objectMapper.convertValue(value, GpuResource.class);
+            }
+            // 其他情况尝试序列化后反序列化（适用于JSON存储场景）
+            else {
+                // 先序列化为JSON字符串，再反序列化为对象
+                String json = objectMapper.writeValueAsString(value);
+                return objectMapper.readValue(json, GpuResource.class);
+            }
+        } catch (Exception e) {
+            log.error("获取缓存时类型转换失败，key: {}, valueType: {}", key, value.getClass().getName(), e);
+            return null;
+        }
+    }
+}
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