美股詳情

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閃迪

617.55

+14.382.38%

成交量：1,211.15萬

成交額：75.37億

市值：913.97億

市盈率：-82.67

高：638.52

開：600.90

低：599.37

收：603.17

52周最高：777.60

52周最低：27.89

股本：1.48億

流通股本：1.37億

量比：1.02

換手率：8.82%

股息：- -

股息率：- -

每股收益(TTM):-7.4700

每股收益(LYR):-11.3172

淨資產收益率：-9.37%

總資產收益率：5.87%

市淨率：8.95

市盈率(LYR):-54.57

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異動解讀 | 美伊談判現積極信號，閃迪盤中大漲5.08%

美股存儲概念股集體走高！閃迪升逾4%，美光科技升逾2%

老虎资讯综合

異動解讀 | 美伊談判現積極信號，閃迪盤前大漲5.06%

存儲概念股盤前受壓閃迪(SNDK)跌超2% 谷歌推出壓縮算法TurboQuant

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谷歌推出壓縮算法TurboQuant","url":"https://stock-news.laohu8.com/highlight/detail?id=2622825590","media":"金吾财讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2622825590?lang=zh_tw&edition=fundamental","pubTime":"2026-03-27 19:26","pubTimestamp":1774610779,"startTime":"0","endTime":"0","summary":"金吾财讯 | 存储概念股盘前受压，闪迪 跌超2%，西部数据跌1.55%，希捷科技跌1.26%，美光科技跌1.25%。谷歌近日推出了一种可能降低人工智能系统内存需求的压缩算法TurboQuant。根据谷歌介绍，TurboQuant压缩技术旨在降低大语言模型和向量搜索引擎的内存占用。TurboQuant可在无需重新训练或微调模型的情况下，将键值缓存压缩至3bit精度，同时基本保持模型准确率不受影响。对包括Gemma、Mistral等开源模型的测试显示，该技术可实现约6倍的键值缓存内存压缩效果。","market":"fut","thumbnail":"https://static.szfiu.com/news/20250107/OGNjYWRkOTg0ZTNhODNlYjIwMzU4Nzc5OGE1MjIxNzAyOTY4ODU1OQ==.png","type":0,"news_type":0,"thumbnails":["https://static.szfiu.com/news/20250107/OGNjYWRkOTg0ZTNhODNlYjIwMzU4Nzc5OGE1MjIxNzAyOTY4ODU1OQ==.png"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"298463","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2092937148.SGD","LU1868836591.USD","LU2097829019.USD","LU1791710400.SGD","LU0994945656.USD","LU2592432038.USD","IE0034235295.USD","LU0130103400.USD","LU0345768153.USD","IE00B775H168.HKD","LU2430703178.SGD","LU0314106906.USD","LU1923622614.USD","LU1923623000.USD","LU1119994496.HKD","LU0208291251.USD","LU0079474960.USD","LU0109392836.USD","BK4581","LU1153585028.USD","LU1914381329.SGD","LU0354030511.USD","LU0689626769.HKD","LU2552382058.USD","LU0882574139.USD","LU0787776722.HKD","LU0792757196.USD","LU1400636657.SGD","LU0225283273.USD","LU0345770308.USD","LU1496350502.SGD","IE00B7SZLL34.SGD","IE00BJJMRY28.SGD","IE0002270589.USD","LU0006306889.USD","LU0128525689.USD","IE00BWXC8680.SGD","LU1506573853.SGD","LU2111349929.HKD","LU2063271972.USD","BK4512","BK4566","LU1429558221.USD","IE00BJJMRX11.SGD","LU0477156953.USD","SGXZ51526630.SGD","LU0289941410.SGD","IE0034235303.USD","LU0786609619.USD","LU2362541273.HKD","LU2242649171.HKD","LU0494093205.USD","LU0719512351.SGD","IE00BYXW3230.USD","LU1301847155.USD","LU0211326839.USD","IE00B19Z8X17.USD","LU2265009873.SGD","LU2430703095.HKD","LU1066051811.HKD","LU0070217475.USD","SG9999018865.SGD","LU1037948897.HKD","LU0965509283.SGD","LU2089283258.USD","IE00BMPRXN33.USD","SG9999014898.SGD","IE00B3S45H60.SGD","IE00BSNM7G36.USD","BK4575","LU0011850046.USD","LU2211815571.USD","LU0456855351.SGD","MULL","SNDK","LU0690374615.EUR","LU0052756011.USD","LU1323610961.USD","LU2286300806.USD","LU2403377893.USD","LU2471134523.USD","LU2213496289.HKD","LU2247934214.USD","IE00BN8TJ469.HKD","LU0320765059.SGD","LU1839511570.USD","IE00B775SV38.USD","BK4579","LU0256863902.USD","LU2746668974.SGD","IE0001KFT4U8.USD","LU2746668461.USD","BK4573","LU1989764748.USD","LU1059921491.USD","LU0215105999.USD","LU1934455194.USD","LU0823421416.USD","LU0708994859.HKD","LU2168564065.EUR","LU0107464264.USD","LU0477156797.USD","IE00B19Z3B42.SGD","IE00BKPKM429.USD","IE0005OL40V9.USD","LU1430594728.SGD","LU2237443622.USD","LU0820561818.USD","IE00B1BXHZ80.USD","LU0949170426.SGD","LU0077335932.USD","LU2168564149.EUR","LU2108987350.USD","LU2362541513.USD","LU2463028550.USD","LU2237438978.USD","IE00BZ199S13.USD","LU0130517989.USD","LU2237443465.HKD","LU0061474705.USD","BK4548","LU1221951046.USD","LU0784384876.USD","LU1366192091.USD","LU1496350171.SGD","BK4543","LU0689472784.USD","LU1868837300.USD","LU1032955483.USD","LU2237443549.SGD","LU0054578231.USD","LU0211326755.USD","LU1894683348.USD","HK0000304797.USD","BK4503","LU0426417589.USD","BK4077","BK4605","LU0320765489.SGD","LU0256863811.USD","LU2237443895.HKD","LU2362540622.SGD","LU0211327993.USD","LU1951200564.SGD","LU1674673691.USD","LU2326559502.SGD","SG9999002232.USD","BK4527","LU2023251221.USD","LU1803068623.USD","LU0868494708.USD","IE00B19Z9505.USD","GOOW","LU0648000940.SGD","LU1201861165.SGD","LU2023250504.SGD","LU0068578508.USD","LU2552382215.SGD","BK4612","IE00BLSP4239.USD","LU2077746001.SGD","LU0312595415.SGD","SGXZ31699556.SGD","LU1935043536.SGD","LU0949170772.SGD","LU0466842654.USD","LU1316542783.SGD","LU0149725797.USD","LU0784385170.HKD","LU2720916845.USD","LU2098885051.SGD","LU1435385759.SGD","MUD","BK4534","LU1069344957.HKD","SG9999002224.SGD","LU2404859667.USD","IE00BDRTCR15.USD","LU1633808545.USD","LU1303367103.USD","LU0097036916.USD","LU2750360997.AUD","LU0308772762.SGD","LU2505996509.AUD","LU1244550494.USD","BK4554","LU0265550946.USD","LU1066051225.USD","LU0433182093.SGD","LU2461242641.AUD","LU0957808578.USD","LU0276348264.USD","LU1880398471.USD","LU1400636491.USD","LU1645745479.HKD","LU0106261372.USD","IE00BMPRXR70.SGD","BK4538","LU0289960550.SGD","IE00BQXX3F31.USD","LU0310799852.SGD","IE0004445239.USD","SG9999015986.USD","LU2242650005.HKD","LU0265550359.USD","LU0553294199.USD","IE00BN29S564.USD","LU1815333072.USD","LU1267930227.SGD","HK0000304805.HKD","LU1244550221.USD","GOOX","LU2430703251.USD","LU2048586759.USD","BK4576","LU1778281490.HKD","LU2087621335.USD","LU0345769128.USD","LU2089985449.USD","LU2456880835.USD","LU0788109477.HKD","LU0557290698.USD","LU0889565833.HKD","LU2491050154.USD","LU0976567544.SGD","LU0545039389.USD","GOOP","LU0094547139.USD","LU1084165304.USD","LU2505996681.GBP","LU0820562030.AUD","LU0127658192.USD","LU2065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