From PC World: Today, a new Titan enters the next-gen graphics war. But while Nvidia’s new Titan X Pascal is no doubt the most potent gaming hardware ever released—the Titan X page on GeForce.com is plastered with lofty gaming performance claims—you won’t find too many reviews of the graphics card hitting the streets today. Instead, Nvidia’s focusing more on the graphics card’s use for professional deep-learning AI applications.
The Titan series has always been designed to bridge the gap between the consumer-centric GeForce lineup and pricier Quadro professional cards. The new Titan X Pascal, which gets its name from Nvidia’s cutting-edge 14nm Pascal graphics architecture, delivers 11 teraflops for single-precision floating-point performance. But Nvidia’s decision to surprise launch this card during an AI meetup in San Francisco, combined with its touted 44 TOPS INT8 performance—a new deep learning inferencing instruction—shows that the company expects the new Titan X to be used to bolster neural networks and machine learning.
Make no mistake: Nvidia is pushing this new Titan as a compute card first and foremost. But most people reading PCWorld aren’t data scientists. Most people want to know how much ass the Titan X Pascal kicks in games.
The Titan X Pascal packs in 3,584 CUDA cores with a 1,417MHz base and 1,531 boost clock. That’s a face-melting half a gigahertz faster than the older Maxwell GPU-based Titan X, roughly speaking, and more than 1,000 CUDA cores greater than the ferocious new GeForce GTX 1080, which also uses Nvidia’s Pascal architecture.
View: Article @ Source Site
