What Is NVIDIA’s Strategy to Boost Adoption of Quadro RTX GPUs?



Quadro RTX Server

NVIDIA (NVDA) recently announced its new Turing architecture for Quadro GPUs (graphics processing units) for workstations. As the world moves toward virtual workstations in the cloud, NVIDIA is offering Quadro even for virtual workstations through its Quadro RTX Server.

Quadro RTX Server enables easy configuration of on-demand render nodes for batch and interactive rendering. RTX Server is a combination of Quadro RTX GPUs and Quadro Infinity software, which would be available in the first quarter of 2019. Multiple users would be able to access the same Quadro RTX GPU with the help of pre-installed Infinity software on their virtual workstations.

Compared to a render farm powered only by CPUs (central processing units), NVIDIA’s RTX servers can render images at 25.0% the cost, 10.0% the space, and less than 10.0% the power, significantly reducing the total cost of ownership.

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NVIDIA’s Quadro RTX hardware features CUDA for compute, RT Core for ray tracing, Tensor Core for AI, and Streaming Multiprocessor for rasterization. To ease the deployment of these GPUs, NVIDIA offers an RTX platform that supports the Quadro hardware with APIs (application processing interface) for ray tracing, AI, rasterization, and simulation on OptiX, Direct X, and Vulkan.

NVIDIA’s RTX platform also offers support for NVIDIA MDL (Material Definition Language) materials and Pixar USD (Universal Scene Description). Around 30 ISV (independent software vendor) applications, including some of the most widely used design and creative applications like Autodesk (ADSK) and Adobe (ADBE), support Quadro RTX.

NVIDIA would boost the adoption of Quadro RTX by giving a large number of developers access to RTX technology via the RTX server and easing the deployment of its rendering solution through the RTX platform.

Success of Turing

Turing architecture would help increase the adoption of future technologies like ray tracing, VR, and AI for graphics rendering by making it easy to deploy Turing-based GPUs. The growing adoption of these future technologies would significantly boost NVIDIA’s earnings from Professional Visualization.

Next, we’ll see whether Turing could appear in NVIDIA’s gaming platform.

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