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RTX Graphic card of next level Industry

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In 2018, NVIDIA released its RTX graphics cards supported its latest Turing microarchitecture. At the time, RTX was praised by industry insiders as being five years before its time thanks to its real-time ray tracing and AI capabilities. Carl Flygare, product marketing manager for NVIDIA Quadro at PNY, considers RTX to be the advancement of the most important graphic in over a decade.

“RTX really is that the biggest performance and architectural disconnect since CUDA came out, all the way back in 2006,” he said.

That giant leap in hardware capability had one downside: software was still five years within the past. Independent software vendors (ISVs) had to scramble to bring the benefits of RTX into professional applications.

“The excellent news is that point is passed,” Flygare said. “It’s in 2020. Developers are bringing applications to plug that are RTX-enabled and support the RT Cores with real-time ray tracing, support the Tensor Cores with AI denoising or generative design, and support variable-rate shading and foveated rendering in VR applications for product design.”

No longer shackled by software constraints, RTX is finally coming into play for engineers, architects, and merchandise designers. during this article, we’ll examine a number of the ways in which NVIDIA Quadro RTX graphics cards are getting used to accelerate Industry 4.0 across four key stages of production: product design, advanced product design, design review, and post design.
Photorealistic Rendering

Let’s start with the titular advantage of Quadro RTX cards: real-time ray tracing (which is what RTX stands for). With Turing’s new RT (ray tracing) Cores, RTX cards provide hardware acceleration for ray tracing, the foremost photorealistic approach to rendering. rock bottom line is that RTX enables better renders in less time.

Rendering is employed throughout a product’s development, from renders of initial concepts and prototypes to renders for design reviews, to the ultimate renders utilized in product marketing. RTX cards aim to offer engineers the power to quickly produce photorealistic renders at any point in development . to assist this goal, popular rendering applications like SOLIDWORKS Visualize, Autodesk VRED, Siemens NX Ray Traced Studio, CATIA Live Rendering, V-Ray and more have all incorporated RTX technology.

AI and Machine Learning

The other headline feature of Quadro RTX cards is their built-in support for AI workflows. The cards use specially designed Tensor Cores—first introduced within the previous Volta microarchitecture, but improved in Turing—to accelerate the kinds of calculations used for machine learning. as an example, NVIDIA uses Tensor Cores to help in real-time ray tracing with a feature called AI-denoising.

“Even with RT cores performing at up to 10 Giga rays per second, ray tracing is an iterative process,” Flygare explained. “It needs a particular number of cycles to kick in before the scene is rendered with enough specificity to seem good to the human eye.”

Without AI-denoising, ray tracing initially seems like a pointillist painting being generated dot by dot. But with AI-denoising, we don’t need to wait for each and each one among those dots to appear—machine learning completes the image for us.

image by cloudinary

“After, say, 12 cycles of ray tracing, [AI-denoising] kicks in and fills within the blanks,” Flygare said. “And all of a sudden, you are looking at that shiny metallic paint on the complex body panel of the car under a cover of trees on a sunny day. And it’s photorealistic, and it’s through with a fraction of the compute performance during a fraction of the time a pure ray tracing approach would have required. So, AI-denoising can play an enormous role in rendering.”
The left side of this image uses AI-denoising. the proper side doesn’t. you’ll see AI-denoising in real-time during this video. (Image courtesy of NVIDIA.)
The left side of this image uses AI-denoising. the proper side doesn’t. you’ll see AI-denoising in real-time during this video. (Image courtesy of NVIDIA.)

AI-denoising is simply one among some ways that RTX cards are often used for AI. “That one is so broad, it’s almost easier to mention what it won’t touch,” Flygare joked.

Generative design, for instance, is an increasingly popular paradigm that uses algorithms to assist product designers to optimize their designs. Though these algorithms differ from case to case, machine learning could play an enormous role within the way forward for this technology. “Generative design is allowing engineers to optimize designs in ways in which simply weren’t possible before,” Flygare said.

Another example comes from the medical field, where medical devices could leverage RTX cards to research CT scans or MRIs before the info ever finishes up ahead of a radiologist. Security systems could use an identical approach to technologies like face recognition. Consumer devices could likewise benefit during a multitude of the way.

“It’s allowing your graphics board to become an assistant instead of something that spits out bits or does raw math at extremely high speeds,” Flygare said.

Real-Time Simulation

Another way NVIDIA Quadro RTX cards are contributing to Industry 4.0 is with their bread and butter, CUDA Cores. These are one among the most processing elements in NVIDIA Quadro cards, and RTX cards pack more CUDA Cores than ever before. It’s enough graphical computation power to enable a completely unique capability: real-time simulation.

For product designers, real-time simulation means no more waiting on analysts to remit their simulation results. Designers can conduct structural analyses, thermal analyses, fluid analyses, and more in real-time, watching as changes to the model instantly propagate to the analysis.

The first software to form this possible was ANSYS Discovery Live, released with the Pascal generation of Quadro cards. it had been Pascal that finally realized enough computing power for real-time simulation. “Until the raw FP32 performance of the Quadro card enabled that sort of capability, ANSYS couldn’t build a product like this,” Flygare explained. “It was quite like Chuck Yeager who broke the sound barrier; Quadro broke a compute barrier that enabled this type of application to become a reality.”

With even more CUDA cores than the previous generation of NVIDIA Quadros, RTX cards are icing on the cake, in Flygare’s words. “With RTX, you’ve just got more headroom. So tougher designs, tougher simulations are often wiped out real-time,” he said.

Virtual Reality

Virtual Reality (VR) is gaining popularity in product design, design review, and post-design workflows, and NVIDIA Quadro RTX cards are helping it along. For one thing, RTX supports the recent VirtualLink connectivity standard, which needs only one cable for head-mounted displays (HMDs).

RTX cards also support a feature called variable-rate shading (VRS), which allows developers to customize the rendering quality of various areas of the screen. On its own, VRS might be considered a nifty trick for developers trying to urge maximum performance from RTX cards. But the magic really happens when VRS is paired with a way called foveated rendering.


Foveated rendering works with HMDs, just like the HTC Vive Pro Eye, that uses eye-tracking to work out where users are looking. By taking this information and mixing it with VRS, foveated rendering can make sure that wherever a user is looking, they’re seeing the very best quality render, and where they’re not looking, renders can relax. Since human sight naturally filters out details on the sting, it’s entirely natural to permit VRS to scale back the standard of those areas in VR. This frees up processing power and ultimately improves the VR experience.

“We now have application developers, like Autodesk VRED, that take full advantage of foveated rendering,” Flygare said. “And that helps designers or engineers make better-informed decisions just because they’re seeing a better resolution view.”

As product complexity grows, development timelines shrink, and engineers are performing from more locations and on more devices, GPU virtualization is becoming increasingly important. And RTX is keeping pace. NVIDIA has introduced the RTX Server platform to enable desktop virtualization which will take full advantage of Quadro RTX cards.

RTX Server combines Quadro RTX cards (either the Quadro RTX 6000 or RTX 8000) with NVIDIA Quadro Virtual Data Center Workstation (Quadro vDWS) software. “NVIDIA RTX Server may be a hardware reference platform and a software stack that has been developed by NVIDIA,” Flygare explained. “It’s an open specification that system builders utilize to create RTX servers which will run a virtualization software stack and parse out rendering or other tasks to finish users.”

NVIDIA Quadro RTX cards set a replacement milestone in NVIDIA’s support for desktop virtualization, and not simply because of RTX Server. For the primary time in Quadro history, NVIDIA offers the RTX 6000 and RTX 8000 cards with both active and passive cooling options. Active cooling is employed in local workstations, but many server enclosures are designed for passively cooled components.

“NVIDIA’s willingness to bring back market Quadro RTX products that are passively cooled may be a first,” Flygare said. “They’ve never done that before for Quadro. So they’re making it very clear that for GPU virtualization, the very best end Quadro boards available today are certified and supported by NVIDIA for data center deployment.”

RTX for Industry 4.0

With features for photorealistic rendering, machine learning, real-time simulation, VR, virtualization, and more, NVIDIA Quadro RTX cards are ready for Industry 4.0.

“Buying RTX future proofs you, it gives you the capabilities you would like for those applications that are beginning this year and can come next year and therefore the year then,” said Flygare. “It’s really the proper investment for engineers, designers, and folk in manufacturing to be at the sting as software advances, to require advantage of the newest features in rendering or AI or computer game .”

For more information about RTX’s role in Industry 4.0, NVIDIA has published a series of whitepapers: Advanced Product Design For Industry 4.0.

To learn more about how NVIDIA RTX Servers offers improvements over traditional CPU-based solutions, attend the PNY live webinar on April 23rd: NVIDIA RTX Server High-Performance Visual Computing within the Data Center

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