\n| CUDA Cores<\/td>\n | 2560<\/strong><\/td>\n<\/tr>\n\n| NVIDIA Turing Tensor Cores<\/td>\n | 320<\/strong><\/td>\n<\/tr>\n\n| Memory<\/td>\n | 16 GB GDDR6 with ECC<\/strong><\/td>\n<\/tr>\n\n| Memory Interface<\/td>\n | 256-bit<\/strong><\/td>\n<\/tr>\n\n| Memory Bandwidth<\/td>\n | 320 GB\/s<\/strong><\/td>\n<\/tr>\n\n| Single Precision Floating Point Performance<\/td>\n | 8.1 TFLOPS (GPU Boost Clock)<\/strong><\/td>\n<\/tr>\n\n| Mixed Precision (FP16 \/ FP32)<\/td>\n | 65 TFLOPS<\/strong><\/td>\n<\/tr>\n\n| INT8-Precision<\/td>\n | 130 TOPS<\/strong><\/td>\n<\/tr>\n\n| INT4-Precision<\/td>\n | 260 TOPS<\/strong><\/td>\n<\/tr>\n\n| System Interface<\/td>\n | PCI-Express 3.0 x16<\/strong><\/td>\n<\/tr>\n\n| Max. Power Consumption<\/td>\n | 70 Watt<\/strong><\/td>\n<\/tr>\n\n| Thermal Solution<\/td>\n | passive heatsink<\/strong><\/td>\n<\/tr>\n\n| Warranty<\/td>\n | 3 Years<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n NVIDIA Tesla T4 – SKUs and EANs<\/strong><\/p>\n\n\n\n| Retail<\/td>\n | Unit<\/em><\/td>\n| TCST4M-PB<\/td>\n | EAN: 3536403367510<\/td>\n<\/tr>\n | \n| <\/td>\n | <\/td>\n | TCST4MATX-PB<\/td>\n | EAN: 3536403367558<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n <\/p>\n B\u0130R SONRAK\u0130 D\u00dcZEY HIZLANMA GELD\u0130<\/h3>\nHer m\u00fc\u015fteri etkile\u015fiminin, her \u00fcr\u00fcn\u00fcn ve her hizmet teklifinin yapay zeka taraf\u0131ndan dokunulaca\u011f\u0131 ve geli\u015ftirilece\u011fi gelece\u011fe do\u011fru yar\u0131\u015f\u0131yoruz.\u00a0Gelece\u011fin, modern yapay zekan\u0131n t\u00fcm \u00e7e\u015fitlili\u011fini h\u0131zland\u0131rabilen, i\u015fletmelerin yeni m\u00fc\u015fteri deneyimleri yaratmas\u0131na, m\u00fc\u015fteri taleplerini nas\u0131l kar\u015f\u0131lay\u0131p a\u015ft\u0131klar\u0131n\u0131 yeniden hayal etmelerine ve yapay zeka tabanl\u0131 \u00fcr\u00fcn ve hizmetlerini uygun maliyetli bir \u015fekilde \u00f6l\u00e7eklendirmelerine olanak tan\u0131yan bir bilgi i\u015flem platformu gerektirdi\u011finin fark\u0131na varmak.<\/p>\n NVIDIA\u00ae T4 GPU, y\u00fcksek performansl\u0131 bilgi i\u015flem, derin \u00f6\u011frenme e\u011fitimi ve \u00e7\u0131kar\u0131m\u0131, makine \u00f6\u011frenimi, veri analizi ve grafikler dahil olmak \u00fczere \u00e7e\u015fitli bulut i\u015f y\u00fcklerini h\u0131zland\u0131r\u0131r.\u00a0Yeni NVIDIA Turing \u2122 mimarisine dayanan ve enerji a\u00e7\u0131s\u0131ndan verimli 70 watt, k\u00fc\u00e7\u00fck PCIe form fakt\u00f6r\u00fcnde paketlenen T4, \u00f6l\u00e7eklenebilir bilgi i\u015flem ortamlar\u0131 i\u00e7in optimize edilmi\u015ftir ve \u00e7ok hassas Turing Tensor \u00c7ekirdekleri ve yeni RT \u00c7ekirdekleri i\u00e7erir.\u00a0NGC’nin h\u0131zland\u0131r\u0131lm\u0131\u015f kapsay\u0131c\u0131ya al\u0131nm\u0131\u015f yaz\u0131l\u0131m y\u0131\u011f\u0131nlar\u0131yla birlikte T4, \u00f6l\u00e7ekte devrim niteli\u011finde performans sunar.<\/p>\n \u00c7I\u011eIR A\u00c7AN PERFORMANS<\/h3>\nT4, \u00e7e\u015fitli i\u015f y\u00fcklerinin \u00fcstesinden gelmek i\u00e7in \u00e7ok hassas bilgi i\u015flemle devrim niteli\u011findeki Turing Tensor Core teknolojisini sunar.\u00a0FP32’den FP16’ya ve INT8’e kadar \u00e7\u0131\u011f\u0131r a\u00e7an performans\u0131n yan\u0131 s\u0131ra INT4 hassasiyetlerine g\u00fc\u00e7 veren T4, CPU’lardan 40 kata kadar daha y\u00fcksek performans sunar.<\/p>\n ![\"\"](\"http:\/\/www.pny.eu\/data\/ckeditor\/articles\/Turing-Tensor-Core_30fps_FINAL_736x414.gif\") <\/p>\n
<\/p>\n GER\u00c7EK ZAMANDA SON TEKNOLOJ\u0130 \u00c7IKARIM<\/h3>\nDuyarl\u0131l\u0131k, konu\u015fma yapay zekas\u0131, tavsiye sistemleri ve g\u00f6rsel arama gibi hizmetler i\u00e7in kullan\u0131c\u0131 kat\u0131l\u0131m\u0131n\u0131n anahtar\u0131d\u0131r.\u00a0Modeller do\u011fruluk ve karma\u015f\u0131kl\u0131kta artt\u0131k\u00e7a, \u015fu anda do\u011fru cevab\u0131 vermek, katlanarak daha b\u00fcy\u00fck hesaplama yetene\u011fi gerektirir.\u00a0T4, 40 kata kadar daha iyi d\u00fc\u015f\u00fck gecikmeli aktar\u0131m h\u0131z\u0131 sunar, b\u00f6ylece ger\u00e7ek zamanl\u0131 olarak daha fazla istek sunulabilir.<\/p>\n","protected":false},"excerpt":{"rendered":" | | | | | | | | | | | | | | |