PNY NVIDIA Quadro RTX 4000 - The World’S First Ray Tracing GPU

Product Information

For real time visualisation, the Quadro RTX 4000’s 8GB is probably plenty for most mainstream workflows. However, when it comes to GPU rendering, it can be restrictive. Memory requirements increase with the size the model, the HDR images and the textures, as well as with output resolution.

Nvidia has launched four Quadro RTX GPUs, from the mid-range to the high-end. We imagine Nvidia will launch lower-end Quadro RTX GPUs later this year but we don’t know this for sure. Another potential use case for high-density multi-GPU is workstation virtualisation using GPU passthrough, where each user gets a dedicated GPU. Again, this workflow looks well suited to the Lenovo ThinkStation P620, which can be configured with up to 64 CPU cores and 2TB of memory. For comparison, we used the last two generations of ‘4000’ class Nvidia pro GPUs – the 8 GB ‘Turing’ Nvidia Quadro RTX 4000 (from 2019) and the 8 GB ‘Pascal’ Nvidia Quadro P4000 (from 2017). Three to four years is quite a typical upgrade cycle in workstations, so the intention here is to give a good idea of the performance increase one might expect from an older machine.The Quadro RTX 4000 features a power-efficient, single-slot design that fits in variety of workstation chassis. Other benefits include: Of course, the boundaries between real-time 3D and ray tracing continue to blur. In fact, out of the list above only Lumion and Twinmotion are yet to support RTX, although it should be coming to Twinmotion soon. The Quadro RTX 4000 was significantly faster than all of the other GPUs but its advantage over the AMD Radeon Pro WX 8200 became even greater when real time AA was enabled.). Information on compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop graphics cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility). Interface Hardware support for VirtualLink — new open industry standard meets the power, display and bandwidth demands of next-generation VR headsets through a single USB-C connector 1.

In short, it looks like the RTX 4000 should be able to handle multi-tasking workflows with relative ease. V-Ray / Radeon ProRender – Nvidia Quadro RTX 4000 bit internal display pipeline (hardware support for 12-bit scanout on supported panels, applications and connection) One, it supports Nvidia NVLink, so GPU memory can be expanded to 48 GB by connecting two 24 GB GPUs together. Its lead in SolidWorks Visualize was quite outstanding, delivering rendering output nearly twice as a fast as the Quadro P5000. And things only look set to get faster. With our estimated additional 35% performance boost when its RT cores are put to work in SolidWorks Visualize 2020, this represent more than a significant boost to rendering workflows. higher performance for both deep learning inference and High-Performance Computing (HPC) applications. NVIDIA ® CUDA ® Parallel Computing PlatformThis week at Autodesk University, NVIDIA is in booth C1201 demonstrating the powerful new capabilities of Quadro RTX GPUs. Designers, engineers and artists can interact in real time with their complex designs and visual effects in ray-traced photo-realistic detail and realize increased throughput with their rendering workloads for significant time and cost savings. Producing a single ray traced quality photoreal image used to take seconds or even minutes, but this was now being done in a fraction of a second on a desktop workstation, albeit one with two very powerful GPUs. Nvidia had shown it could make photorealistic visualisation completely interactive and while there was almost certainly some smoke and mirrors, it was a massive advancement. Support for large-scale, ultra-high resolution visualization using the NVIDIA ® SVS platform which includes NVIDIA ® Mosaic, NVIDIA ® Sync and NVIDIA ® Warp/Blend technologies Overall, Nvidia has done an excellent job with its next generation pro GPU. Even without the future promise of RTX acceleration, it’s hugely impressive for the price and firmly cements the role of the GPU as a multi-functional processor and not just a graphics card for interactive 3D. It looks like it will still take Nvidia some time to truly deliver on its real time ray tracing vision, but it’s certainly on the right path.

The Quadro RTX 4000 is complete overkill for most 3D CAD applications including SolidWorks, which tend to be CPU limited and often work just as well with an entry-level or mid-range GPU like the Quadro P1000 or P2000. Decode acceleration for MPEG-2, MPEG-4 Part 2 Advanced Simple Profile, H.264, HEVC, MVC, VC1, DivX (version 3.11 and UPDATE: 25 March 2022. Nvidia recently launched the Nvidia RTX A4500 and RTX A5500 to held boost supply of its high-end pro workstation GPUs. Read our review of the Nvidia RTX A4500Equipping the RTX A4000 with 16 GB of memory is very significant. While we often see models / scenes that surpass 8 GB (the capacity of the previous generation Quadro RTX 4000) scenes that are 16 GB and above are certainly less common, and more the preserve of viz specialists than most architects or product designers who use standard materials and assets. To see how this impacted performance we turned on the denoiser then rendered the same scene with 10 passes at fast quality and 50 & 200 at accurate quality. This threw up some interesting results. When the scene was rendered with 10 passes, the Nvidia Quadro RTX 4000 took nearly twice as long as the P4000 (23 secs compared to 12 secs).

It even managed to beat the AMD Radeon Pro WX 8200 in the DX 12-based Cyan Room, a test that AMD usually does well in because AMD’s Vega architecture is designed to perform well with low-level APIs like DirectX 12 and Vulkan. We’re working with NVIDIA at Autodesk University to showcase how Autodesk Revit, powered by NVIDIA Turing’s RTX platform, can bring the power of real-time photorealistic rendering to enable millions of designers and architects to create and visualize content in a new way,” said Nicolas Mangon, vice president of AEC strategy and marketing at Autodesk. “By reviewing models in an immersive context, teams can collaborate and interact with their data for real-time problem solving.” OEM Support The Quadro RTX 4000 (8GB GDDR6), RTX 5000 (16GB GDDR6) and RTX 6000 (24GB GDDR6) are essentially replacements for the Pascal-based Quadro P4000 (8GB GDDR5), P5000 (16GB GDDR5X) and P6000 (24GB GDDR5X). There’s also a new ultra high-end model, the Quadro RTX 8000 (48GB GDDR6), which is essentially the RTX 6000 with double the memory. It’s designed specifically to overcome the challenges of using the GPU for really high-end rendering where the datasets can be incredibly complex. Which is the best CPU for design-centric workflows – from CAD and BIM to reality modelling and renderingAs you can imagine, the higher up the range you go, the more cores you get (CUDA, tensor & RT). All GPUs are rated by FP32 performance, a measure of their single precision compute capabilities (TFLOPs) based on their CUDA cores alone. This figure can be compared directly to previous generation Quadro products. The embedded OpenCL Just-In-Time compiler will offer an opt-in version utilizing CLANG 7.0 and NVVM 7.0 components, providing support for 16-bit floating point and 128-bit integer data types.