NVIDIA GeForce RTX Turing GPUs Detailed – GeForce RTX 2070 Features TU106, 50% Faster Per Core Performance, 50% Better Memory Compression Than Pascal

NVIDIA GeForce RTX Turing GPUs Detailed – GeForce RTX 2070 Features TU106, 50% Faster Per Core Performance, 50% Better Memory Compression Than Pascal

6 years ago
Anonymous $oIHRkISgaL

https://wccftech.com/nvidia-turing-gpu-architecture-geforce-rtx-graphics-cards-detailed/

New features of the NVIDIA Turing GPU architecture have been revealed and detailed by the folks over at Videocardz. The new details show how the Turing GPUs are a huge departure from current GeForce graphics cards based on the Pascal GPU architecture and the techniques NVIDIA is using to deliver the best performance to end users and gamers.

Starting with the most significant part of the Turing GPU architecture, the Turing SM, we are seeing an entirely new graphics core. The Turing SM is made up of a combination of INT32, FP32, and the new Tensor cores. Each SM has 96 KB of L1 cache which is shared across the entire GPU. There are four warp schedulers and dispatchers inside a Turing GPU and similarly, there are four register file units.

NVIDIA GeForce RTX Turing GPUs Detailed – GeForce RTX 2070 Features TU106, 50% Faster Per Core Performance, 50% Better Memory Compression Than Pascal

Sep 12, 2018, 4:50pm UTC
https://wccftech.com/nvidia-turing-gpu-architecture-geforce-rtx-graphics-cards-detailed/ > New features of the NVIDIA Turing GPU architecture have been revealed and detailed by the folks over at Videocardz. The new details show how the Turing GPUs are a huge departure from current GeForce graphics cards based on the Pascal GPU architecture and the techniques NVIDIA is using to deliver the best performance to end users and gamers. > Starting with the most significant part of the Turing GPU architecture, the Turing SM, we are seeing an entirely new graphics core. The Turing SM is made up of a combination of INT32, FP32, and the new Tensor cores. Each SM has 96 KB of L1 cache which is shared across the entire GPU. There are four warp schedulers and dispatchers inside a Turing GPU and similarly, there are four register file units.