The deep learning revolution sweeping the globe started with processors — GPUs — originally made for gaming. With our Turing architecture, deep learning is coming back to gaming, and bringing stunning performance with it.
Turing combines next-generation programmable shaders; support for real-time ray tracing — the holy grail of computer graphics; and Tensor Cores, a new kind of processor which accelerates all kinds of deep learning tasks, NVIDIA CEO Jensen Huang told a crowd of more than 3,000 at the GPU Technology Conference in Europe this week.
This deep learning power allows Turing to leap forward in ways no other processor can, Huang explained.
Read More: Palo Alto Networks Appoints Amit K. Singh as President
“If we can create a neural network architecture and an AI that can infer and can imagine certain types of pixels, we can run that on our 114 teraflops of Tensor Cores, and as a result increase performance while generating beautiful images,” Huang said.
“Well, we’ve done so with Turing with computer graphics,” Huang added.
Deep Learning Super Sampling, or DLSS, allows Turing to generate some pixels with shaders and imagine others with AI.
Read More: Interview with Angel Gambino, CEO and Founder of Sensai
“As a result, with the combination of our 114 teraflops of Tensor Core performance and 15 teraflops of programmable shader performance, we’re able to generate incredible results,” Huang said.
That translates into an enormous leap in performance.
“In each and every series, the Turing GPU is twice the performance,” Huang said. “This is a brand new way of doing computer graphics — it merges together traditional computer graphics and deep learning into a cohesive pipeline.”
With a stunning demo, Huang showcased how our latest NVIDIA RTX GPUs — which enable real-time ray-tracing for the first time — allowed our team to digitally rebuild the scene around one of the moon landing’s iconic photographs, that of astronaut Buzz Aldrin clambering down the lunar module’s ladder.
Read More: Interview with Jeffrey Kofman, CEO and Founder at Trint
The demonstration puts to rest the assertion that the photo can’t be real because Aldrin is lit too well as he climbs down to the surface of the moon while in the shadow of the lunar lander. Instead the simulation shows how the reflectivity of the surface of the moon accounts for exactly what’s seen in the photo.
“This is the benefit of NVIDIA RTX. Using this type of rendering technology, we can simulate light physics and things are going to look the way things should look,” Huang said.
Read More: The Top 5 “Recipes” That Give AI Projects a Higher Likelihood of Success
Metal waste management Ferrous metal reprocessing yard Iron scrap trade regulations
Ferrous material brokerage, Iron reclamation and utilization, Metal salvage services
Copper recycling compliance Scrap copper yard Scrap metal removal
Copper cable recycling machines, Scrap metal reprocessing facilities, Copper scrap product innovation