NVIDIA today reinvented computer graphics with the launch of the NVIDIA Turing GPU architecture. Turing features new RT Cores to accelerate ray tracing and new Tensor Cores for AI inferencing which, together for the first time, make real-time ray tracing possible.

These two engines — along with more powerful compute for simulation and enhanced rasterization — usher in a new generation of hybrid rendering to address the $250 billion visual effects industry. Hybrid rendering enables cinematic-quality interactive experiences, amazing new effects powered by neural networks and fluid interactivity on highly complex models.

The company also unveiled its initial Turing-based products — the NVIDIA Quadro RTX 8000, Quadro RTX 6000 and Quadro RTX 5000 GPUs — which will revolutionize the work of some 50 million designers and artists across multiple industries.

NVIDIA’s eighth-generation GPU architecture, Turing enables the world’s first ray-tracing GPU and is the result of more than 10,000 engineering-years of effort. By using Turing’s hybrid rendering capabilities, applications can simulate the physical world at 6x the speed of the previous Pascal™ generation.

To help developers take full advantage of these capabilities, NVIDIA has enhanced its RTX development platform with new AI, ray-tracing and simulation SDKs. It also announced that key graphics applications addressing millions of designers, artists and scientists are planning to take advantage of Turing features through the RTX development
platform.

The Turing architecture is armed with dedicated ray-tracing processors called RT Cores, which accelerate the computation of how light and sound travel in 3D environments at up to 10 GigaRays a second. Turing accelerates real-time ray tracing operations by up to 25x that of the previous Pascal generation, and GPU nodes can be used for final-frame rendering for film effects at more than 30x the speed of CPU nodes.

The Turing architecture also features Tensor Cores, processors that accelerate deep learning training and inferencing, providing up to 500 trillion tensor operations a second.

This level of performance powers AI-enhanced features for creating applications with powerful new capabilities. These include DLAA — deep learning anti-aliasing, which is a breakthrough in high-quality motion image generation — denoising, resolution scaling and video re-timing.

These features are part of the NVIDIA NGX software development kit, a
new deep learning-powered technology stack that enables developers to
easily integrate accelerated, enhanced graphics, photo imaging and
video processing into applications with pre-trained networks.

Faster Simulation and Rasterization with New Turing Streaming Multiprocessor Turing-based GPUs feature a new streaming multiprocessor (SM) architecture that adds an integer execution unit executing in parallel with the floating point datapath, and a new unified cache architecture with double the bandwidth of the previous generation.

Combined with new graphics technologies such as variable rate shading, the Turing SM achieves unprecedented levels of performance per core. With up to 4,608 CUDA cores, Turing supports up to 16 trillion floating point operations in parallel with 16 trillion integer operations per second.

Developers can take advantage of NVIDIA’s CUDA 10, FleX and PhysX SDKs to create complex simulations, such as particles or fluid dynamics for scientific visualization, virtual environments and special effects.

Quadro GPUs based on Turing will be initially available in the fourth quarter.