Turing GPU Architecture User Manual

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NVIDIA Turing GPU Architecture WP-09183-001_v01 | 1

INTRODUCTION TO THE NVIDIA TURING

ARCHITECTURE

Fueled by the ongoing growth of the gaming market and its insatiable demand for better 3D

graphics, NVIDIA® has evolved the GPU into the world’s leading parallel processing engine for

many computationally-intensive applications. In addition to rendering highly realistic and

immersive 3D games, NVIDIA GPUs also accelerate content creation workflows, high performance

computing (HPC) and datacenter applications, and numerous artificial intelligence systems and

applications.

Turing represents the biggest architectural leap forward in over a decade, providing a new core

GPU architecture that enables major advances in efficiency and performance for PC gaming,

professional graphics applications, and deep learning inferencing.

Using new hardware-based accelerators and a Hybrid Rendering approach, Turing fuses

rasterization, real-time ray tracing, AI, and simulation to enable incredible realism in PC games,

amazing new effects powered by neural networks, cinematic-quality interactive experiences, and

fluid interactivity when creating or navigating complex 3D models.

Within the core architecture, the key enablers for Turing’s significant boost in graphics

performance are a new GPU processor (streaming multiprocessor—SM) architecture with

improved shader execution efficiency, and a new memory system architecture that includes

support for the latest GDDR6 memory technology.

Image processing applications such as the ImageNet Challenge were among the first success

stories for deep learning, so it is no surprise that AI has the potential to solve many important

problems in graphics. Turing’s Tensor Cores power a suite of new deep learning-based Neural

Services that offer stunning graphics effects for games and professional graphics, in addition to

providing fast AI inferencing for cloud-based systems.

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Nvidia Turing GPU Architecture