{"id":29916,"date":"2019-10-31T21:32:39","date_gmt":"2019-10-31T18:32:39","guid":{"rendered":"https:\/\/prohoster.info\/blog\/uskoritel-inno3d-geforce-gtx-1660-twin-x2-imeet-dlinu-menee-200-mm\/"},"modified":"2019-10-31T21:32:39","modified_gmt":"2019-10-31T18:32:39","slug":"uskoritel-inno3d-geforce-gtx-1660-twin-x2-imeet-dlinu-menee-200-mm","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/uskoritel-inno3d-geforce-gtx-1660-twin-x2-imeet-dlinu-menee-200-mm","title":{"rendered":"The Inno3D GeForce GTX 1660 Twin X2 is less than 200 mm in length.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Inno3D has announced the GeForce GTX 1660 Twin X2 graphics accelerator, based on the TU116 chip with NVIDIA Turing architecture.<\/p>\n

\"The<\/p>\n

The graphics card has 1408 CUDA cores. It is equipped with 6 GB of GDDR5 memory with a 192-bit bus and an effective frequency of 8000 MHz. The base core clock speed of the chip is 1530 MHz, while the boost clock speed is 1785 MHz, which corresponds to the reference values.<\/p>\n

The new model is equipped with a cooling system featuring dual fans that cool a solid aluminum heatsink with copper heat pipes. A reinforcing metal plate is included on the back.<\/p>\n

For monitor connectivity, there are four connectors available: one HDMI 2.0b and three DisplayPort 1.4 interfaces. A power supply of at least 450 W is required for operation.<\/p>\n

<\/center>
\n\"The<\/p>\n

The graphics accelerator boasts a relatively short length of 196 mm, making it possible to install the video adapter in compact PC cases. The product has a dual-slot design.<\/p>\n

The Inno3D GeForce GTX 1660 Twin X2 model will be available for sale very soon. Unfortunately, the price has not yet been revealed. <\/p>\n

<\/p>\n

<\/center><\/p>\n

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\n\t\t\t\t\t\t\t\t<\/center><\/p>\n

Source: 3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Inno3D \u0430\u043d\u043e\u043d\u0441\u0438\u0440\u043e\u0432\u0430\u043b\u0430 \u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u0435\u043b\u044c GeForce GTX 1660 Twin X2, \u0432 \u043e\u0441\u043d\u043e\u0432\u0435 \u043a\u043e\u0442\u043e\u0440\u043e\u0433\u043e \u043b\u0435\u0436\u0438\u0442 \u0447\u0438\u043f TU116 \u0441 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043e\u0439 NVIDIA Turing. \u0412\u0438\u0434\u0435\u043e\u043a\u0430\u0440\u0442\u0430 \u043d\u0430\u0441\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442 1408 \u044f\u0434\u0435\u0440 CUDA. \u0412 \u043e\u0441\u043d\u0430\u0449\u0435\u043d\u0438\u0435 \u0432\u0445\u043e\u0434\u044f\u0442 6 \u0413\u0431\u0430\u0439\u0442 \u043f\u0430\u043c\u044f\u0442\u0438 GDDR5 \u0441\u043e 192-\u0431\u0438\u0442\u043d\u043e\u0439 \u0448\u0438\u043d\u043e\u0439 \u0438 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