Nvidia's Pascal is ten times faster than Maxwell processors

NVIDIA’s Pascal GPU architecture, set to debut in 2016, will accelerate deep learning applications 10X beyond the speed of its current-generation Maxwell processors. Beyond the Pascal is the Volta which will used stacked DRAM and achieve a two or three times boost.

Pascal GPUs will have three key design features that will result in dramatically faster, more accurate training of richer deep neural networks – the human cortex-like data structures that serve as the foundation of deep learning research.

Along with up to 32GB of memory — 2.7X more than the newly launched NVIDIA flagship, the GeForce GTX TITAN X — Pascal will feature mixed-precision computing. It will have 3D memory, resulting in up to 5X improvement in deep learning applications. And it will feature NVLink – NVIDIA’s high-speed interconnect, which links together two or more GPUs — that will lead to a total 10X improvement in deep learning.


Pascal is Nvidia’s follow-up to Maxwell, and the first desktop chip to use TSMC’s 16nmFF+ (FinFET+) process. This is the second-generation follow-up to TSMC’s first FinFET technology — the first generation is expected to be available this year, while FF+ won’t ship until sometime next year.




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