Having spent over seven years at Psyop, LA in roles including CG Supervisor and VFX Supervisor, Johnathan Iwata is no stranger to the demands that creating production-ready renders places on a workstation. In this article Iwata puts the NVIDIA Quadro RTX 6000 through its paces and reveals how this professional GPU improves the performance and efficiency of his workflow.
Now available as a public beta, Autodesk Arnold 5.3 gives artists a first look at Autodesk’s Quadro RTX accelerated rendering software. From look development to lighting, RTX-based GPU acceleration brings fluid interactivity and unprecedented speed to rendering workflows, reducing interations and time from inspiration to finished image.
“We’ve worked closely with NVIDIA to optimize Arnold GPU to run on the latest RTX technology, and look forward to continuing to collaborate to bring our customers the highest quality rendering.” Said Chris Vienneau, Senior Director, Media & Entertainment Products, Autodesk.
At PNY PRO we are always excited to see and share the spectacular designs our customers create using NVIDIA graphics boards. To celebrate the launch of the latest RTX GPUs from NVIDIA, we are inviting our talented creators to participate in the new RTX for Creators contest, which offers the chance to win an NVIDIA Quadro GPU. We will share some of the entries received throughout the contest on our web site. To enter the contest or view examples of creations submitted, visit: www.pny.com/creators
PNY PRO is challenging all NVIDIA users to create a visually compelling design using at least one 3D software modeling and rendering application. All participants can upload up to three images/videos of their original work; the images should be at least FHD (1080p) 1920 x 1080 resolution. The RTX Creators Contest will run until June 30, 2019 and the wining entry will receive an NVIDIA Quadro P2000.
As a PC enthusiast, I love pitting hardware solutions against each other to determine their relative performance when completing a particular task. This process is also known as “Benchmarking.” Benchmarking results are usually considered the best tool to evaluate the merits of competing systems when making a purchase decision.
In this 3-part blog series, we’ll discuss how to build a system, with an emphasis on benchmarking GPU performance for Deep Learning using Ubuntu 18.04, NVIDIA GPU Cloud (NGC) and TensorFlow.
Topics: Deep Learning, NVIDIA GPU, NVIDIA GPUs, NVIDIA Quadro GPUs, CUDA, NVIDIA RTX Technology, Pro Tip, Tensor Cores, Quadro RTX, NVIDIA Turing Architecture, nvidia quadro rtx, Artificial Intelligence, NVIDIATuring, GeForce RTX, Data Science Workstation, NGC, data science, RAPIDS, GPU-accelerated machine learning, NVIDIA CUDA, analytics, CUDA-X, Linux, Tensorflow, benchmark
With two NVIDIA Quadro RTX 6000 GPUs powering its new Silverdraft DemonVR solution, Toyota was free to integrate VR into their development workflow, freeing up creativity, avoiding unnecessary Rapid Prototype time delays and expenses, and reducing travel costs by creating new opportunities for collaboration.
According to Data Science Central, a leading online resource for data practitioners, forecasts predict the big data market will approach $203 billion by 2020. Data science is powering the engine of modern enterprise – every industry from retail to financial services to healthcare is deriving insight from data to improve competitiveness and operational efficiency. Retailers are improving forecasting to reduce the cost of excess inventory. Financial services institutions are detecting fraudulent transactions. Healthcare providers are predicting the risk of disease more quickly. Even modest improvements in the accuracy of predictive machine learning models can translate into billions on the bottom line. The NVIDIA accelerated Data Science Workstation (DWS) solution with RAPIDS enables enterprises and data scientists to tap into GPU-accelerated machine learning (ML) and deep learning (DL) with faster model iteration, better prediction accuracy, and lowest data science total cost of ownership (TCO).
Topics: PNY, NVIDIA Quadro, Deep Learning, AI, PNYPRO, NVIDIA RTX Technology, Quadro RTX, nvidia quadro rtx, Data Science Workstation, NGC, hpc, graph analytics, data preparation, data science, RAPIDS, GPU-accelerated machine learning, NVIDIA CUDA, analytics, model training, CUDA-X
SOLIDWORKS Visualize is a powerful tool used by engineers and designers to turn CAD files into photorealistic rendered images or immersive VR experiences. The ability to quickly generate photorealistic quality rendering is crucial for design reviews, factory floor (or other) training, and collaboration with marketing and sales.
PNY’s new Watch2Win contest has started! WATCH2WIN has long been the foundation of PNY's graphics e-learning program for customers who use NVIDIA Quadro professional graphics boards to accelerate their workflow. WATCH one of the NVIDIA Quadro GPU product snapshots at www.pny.com/W2W to learn which of these advanced pro graphics solutions are right for you and be entered into the contest for a chance to WIN an NVIDIA Quadro RTX 4000 Powered Workstation from Puget Systems.
The Quadro RTX 4000 is already making an impression on the tech community with positive results and projected success. Print and web publications with years of industry involvement such as Develop 3D and Techgage are devoted to providing professionals the technical information they need. They, and others, are committed to their readership and focus on product and workflow enhancements, such as the Quadro RTX 4000, that improve productivity and creativity.
“Compared to previous generations, there’s more than immediately meets the eye with Quadro RTX. The architecture bump from Pascal to Turing in itself represents a big boost in performance (and efficiency), but the addition of Tensor and RT cores helps set RTX apart from the rest of the market." - Rob Williams, Techgage
Topics: PNY, Quadro, NVIDIA, GPUs, NVIDIA Quadro, AI, Professional Graphics, NVIDIA GPU, PNY PRO, Graphics Solutions, NVIDIA GPUs, NVIDIA Quadro GPUs, PNYPRO, Pascal GPUs, realtime ray tracing, designers, engineers, Professional Visualization Solutions, Architecture, Engineering, realtime design, Turing, RT Cores, ray tracing, NVIDIA Architecture, Quadro RTX, RTX 4000, NVIDIA Turing Architecture, nvidia quadro rtx, Artificial Intelligence
Today, we will conclude our three part discussion about VirtualLink.
In Tip #7, we covered the intended application of VirtualLink to simplify future VR headset connection, then in Tip #9, we covered the alternative applications, such as high-speed data transfer and easy monitor hook up. Today, we will cover the potential issues with the inclusion of this new standard and how PNY can assist you in dealing with these issues.