During yesterday's earnings call, analyst Mark Lopasif with Jefferies asked NVIDIA if the new Tensor Cores that are found in the company's Volta-based datacenter products could make a splash in the gaming market too.
NVIDIA CEO Jen-Hsun Huang replied that in the future, Tensor Cores could definitely play a role to boost inferencing performance. He said this is useful to improve video game texture quality and character animation. It's still in its infancy, but Huang said they have some impressive demos that show the benefits.
And I think I already really appreciated the work that we did with Tensor Core and although the updates they are now coming out from the frameworks, Tensor Core is the new instruction fit and new architecture and the deep learning developers have really jumped on it and almost every deep learning frame work is being optimized to take advantage of Tensor Core. On the inference side, on the inference side and that’s where it would play a role in video games. You could use deep learning now to synthesize and to generate new art, and we been demonstrating some of that as you could see, if you could you seen some of that whether it improve the quality of textures, generating artificial, characters, animating characters, whether its facial animation with for speech or body animation.
The type of work that you could do with deep learning for video games is growing. And that’s where Tensor Core to take up could be a real advantage. If you take a look at the computational that we have in Tensor Core compare to a non optimized GPU or even a CPU, it's now to plus orders of magnitude on greater competition of throughput. And that allows us to do things like synthesize images in real time and synthesize virtual world and make characters and make faces, bringing a new level of virtual reality and artificial intelligence to the video games.