data: 统一所有产品发布日期格式为YYYY-MM-DD文本

data/gpus.json

@@ -12,9 +12,9 @@
     "fp16_tflops": 1979,
     "int8_perf_tops": 3958,
     "price_usd": 30000,
-    "release_year": 2022,
     "description": "数据中心顶级GPU，专为AI训练设计",
-    "subcategory_id": "datacenter"
+    "subcategory_id": "datacenter",
+    "publish_date": "2022-01-01"
   },
   {
     "id": "a100",
@@ -29,9 +29,9 @@
     "fp16_tflops": 312,
     "int8_perf_tops": 624,
     "price_usd": 10000,
-    "release_year": 2020,
     "description": "数据中心主力GPU，AI训练推理通用",
-    "subcategory_id": "datacenter"
+    "subcategory_id": "datacenter",
+    "publish_date": "2020-01-01"
   },
   {
     "id": "a10040g",
@@ -46,9 +46,9 @@
     "fp16_tflops": 312,
     "int8_perf_tops": 624,
     "price_usd": 6000,
-    "release_year": 2020,
     "description": "A100 40GB版本，性价比更高",
-    "subcategory_id": "datacenter"
+    "subcategory_id": "datacenter",
+    "publish_date": "2020-01-01"
   },
   {
     "id": "l40s",
@@ -63,9 +63,9 @@
     "fp16_tflops": 362,
     "int8_perf_tops": 724,
     "price_usd": 7000,
-    "release_year": 2023,
     "description": "新一代数据中心GPU，推理优化",
-    "subcategory_id": "datacenter"
+    "subcategory_id": "datacenter",
+    "publish_date": "2023-01-01"
   },
   {
     "id": "rtx4090",
@@ -80,9 +80,9 @@
     "fp16_tflops": 330,
     "int8_perf_tops": 660,
     "price_usd": 1600,
-    "release_year": 2022,
     "description": "消费级最强GPU，适合个人AI开发",
-    "subcategory_id": "gaming"
+    "subcategory_id": "gaming",
+    "publish_date": "2022-01-01"
   },
   {
     "id": "rtx4090d",
@@ -97,9 +97,9 @@
     "fp16_tflops": 294,
     "int8_perf_tops": 588,
     "price_usd": 1400,
-    "release_year": 2024,
     "description": "4090中国特供版，性能略降",
-    "subcategory_id": "gaming"
+    "subcategory_id": "gaming",
+    "publish_date": "2024-01-01"
   },
   {
     "id": "rtx3090",
@@ -114,9 +114,9 @@
     "fp16_tflops": 142,
     "int8_perf_tops": 284,
     "price_usd": 1200,
-    "release_year": 2020,
     "description": "上一代旗舰，性价比高",
-    "subcategory_id": "gaming"
+    "subcategory_id": "gaming",
+    "publish_date": "2020-01-01"
   },
   {
     "id": "rtx3080",
@@ -131,9 +131,9 @@
     "fp16_tflops": 119,
     "int8_perf_tops": 238,
     "price_usd": 700,
-    "release_year": 2020,
     "description": "中高端消费级GPU",
-    "subcategory_id": "gaming"
+    "subcategory_id": "gaming",
+    "publish_date": "2020-01-01"
   },
   {
     "id": "v100",
@@ -148,9 +148,9 @@
     "fp16_tflops": 118,
     "int8_perf_tops": 236,
     "price_usd": 4000,
-    "release_year": 2017,
     "description": "上一代数据中心GPU，仍有价值",
-    "subcategory_id": "datacenter"
+    "subcategory_id": "datacenter",
+    "publish_date": "2017-01-01"
   },
   {
     "id": "mi300x",
@@ -165,9 +165,9 @@
     "fp16_tflops": 1307,
     "int8_perf_tops": 2614,
     "price_usd": 15000,
-    "release_year": 2023,
     "description": "AMD最强AI GPU，192GB显存",
-    "subcategory_id": "datacenter"
+    "subcategory_id": "datacenter",
+    "publish_date": "2023-01-01"
   },
   {
     "name": "RTX 6000D",
@@ -184,7 +184,8 @@
     "updated_at": "2026-04-28 11:56:48",
     "subcategory_id": "professional",
     "views": 0,
-    "images": []
+    "images": [],
+    "publish_date": "2024-01-01"
   },
   {
     "name": "RTX PRO 6000",
@@ -202,6 +203,7 @@
     "manufacturer": "NVIDIA",
     "subcategory_id": "professional",
     "views": 0,
-    "images": []
+    "images": [],
+    "publish_date": "2020-01-01"
   }
 ]