According to Engineering,com Editor, Michael Alba “Engineers, designers and architects are using VR and beginning to benefit from the novel perspective it offers their industries. It’s been a slow trickle, but the VR dam is poised to burst.” In this article, Alba looks at how the latest NVIDIA® Quadro® RTX™ GPUs are optimized for Virtual Reality, and how VR is playing a part in impacting and accelerating design workflows for engineers, designers and architects.
Topics: NVIDIA, Virtual Reality, GPUs, VR, NVIDIA Quadro, PNY PRO, designers, Architecture, Quadro RTX, nvidia quadro rtx, virtuallink, Architectural Visualization, Quadro RTX Workstations, collaborative review, VR Ready graphics cards, Immersive VR, engineering.com
PNY will showcase the latest in GPU acceleration for data science, data visualization and big data analytics with its NVIDIA-powered Data Science Workstation and associated solutions at Converge which runs October 21-23, 2019 at the Computer History Museum in Mountain View, California.
Topics: PNY, NVIDIA, GPU, NVIDIA Quadro, AI, PNY PRO, NVIDIA Quadro GPUs, Quadro RTX, Artificial Intelligence, Virtualization
Topics: PNY, NVIDIA, NVIDIA Quadro, PNY PRO, NVIDIA Quadro GPUs, 3D Design, Architecture, Quadro RTX, CGarchitect, Architectural 3D, Architectural Visualization
AI and big data analytics are changing the way enterprises and institutions are making decisions and delivering products and services worldwide. Data scientists (and others) need sophisticated hardware, development, and software platforms to separate actionable intelligence, patterns and trends from daily data tsunamis.
It is imperative to separate the digital wheat from the chaff, and new Quadro® RTX™ GPUs with Tensor Cores, mixed precision compute, and unprecedented GPU memory capacity provide the hardware foundation to meet today’s AI and analytics challenges. Turnkey solutions like the NVIDIA-Powered Data Science Workstation provide data scientists and others with the productivity enhancing tools they need. OmniSci’s GPU accelerated analytics platform overcomes the scalability and performance limitations of legacy analytics tools faced with the scale, velocity and location attributes of today’s big data analytics.
Topics: PNY, NVIDIA, Webinar, NVIDIA Quadro, AI, PNY PRO, NVIDIA Quadro GPUs, Quadro RTX, Data Science Workstation, nvidia quadro rtx 4000, data science, Big Data Analytics, omnisci, turnkey solutions
In this blog post, let’s address the difference between the following driver variations and help you choose the right driver for your graphics card investment.
Topics: Workflow, OEMs, IT Professionals, NVIDIA Quadro Advantage, Pro Tip, Update, Quadro RTX, Recommended, nvidia quadro rtx, GeForce RTX, Windows10, Win10, rtx for creators, Driver
With SIGGRAPH 2019 just a few days away, we are packing our bags and are getting ready for an exciting week in LA! If you are coming to SIGGRAPH 2019 make sure you visit PNY’s booth #1103, there are many treats in store.
At the PNY booth you will see how NVIDIA® Quadro® RTX™ Powered Workstations and NVIDIA RTX Servers combine the latest advances in AI for graphics and real-time ray tracing with NVIDIA’s most powerful GPUs – NVIDIA Quadro RTX– to accelerate and enhance every stage of the creative and design process.
Topics: PNY, NVIDIA, VR, NVIDIA Quadro, Puget Systems, NVIDIA GPU, Autodesk, 3D Design, PNYPRO, GPL, HTC Vive, 8K, Quadro RTX, NVIDIA Quadro RTX 6000, NVIDIA Quadro RTX 8000, RTX Server, Autodesk Arnold, Silverdraft Supercomputing
This is going to be a long blog post, but by the end, you will have an Ubuntu environment connected to the NVIDIA GPU Cloud platform, pulling a TensorFlow container and ready to start benchmarking GPU performance.
Let's split this into four phases:
1) Install Ubuntu 18.04 LTS and NVIDIA Graphics Driver
2) Install Docker CE and NVIDIA Docker v 2.0
3) Setup NVIDIA GPU Cloud and pull down GPU optimized docker containers
4) Run the TensorFlow benchmark
It's time to get started!
Topics: PNY, NVIDIA, PNYPRO, CUDA, NVIDIA GPU Cloud, Pro Tip, Tensor Cores, Quadro RTX, nvidia quadro rtx, NVIDIATuring, GeForce RTX, NGC, data science, NVIDIA CUDA, Linux, Tensorflow, benchmark
Ever wonder who wins the NVIDIA Quadro prizes from PNY and what they create with them?
Lionel Scharly, from SCHARLY DESIGNER STUDIO in New York, recently won the NVIDIA Quadro P4000 in our PNY/ANSYS joint webinar raffle back in May. We followed up with Lionel to find out how the Quadro P4000 had improved his workflow and affected his Studio. Read his responses to our questions below:
How did you feel when you received notification that you had won the Quadro P4000 in the PNY Webinar Raffle?
It was surprising and came just at the time when we were looking to improve our Architectural Renderings and Virtual Reality solutions.
Topics: PNY, NVIDIA, Webinar, Design, NVIDIA GPU, Quadro P4000, PNYPRO, Architecture, Quadro RTX, nvidia quadro rtx, Lionel Scharly, Prizes, eGPU, SCHARLY DESIGNER STUDIO
Combining ground breaking technologies like real-time ray tracing, AI, advanced shading and simulation, all in in a single slot form factor, the NVIDIA Quadro RTX 4000 brings a whole new level of efficiency and productivity for your SOLIDWORKS design workflow.
The rendering performance of Quadro RTX combined with SOLIDWORKS Visualize makes it even easier to import models from SOLIDWORKS and support realistic, physically based materials, lighting and environments — all on a user-friendly interface.
With the Quadro RTX 4000 GPU, SOLIDWORKS 2019 delivers a major graphics performance boost. Taking advantage of real-time ray tracing and AI denoising users can now produce instant photorealistic images with SOLIDWORKS Visualize. Quadro RTX 4000 enables lightning fast view manipulation for large assemblies, dynamic view operations are dramatically faster, and users see full model detail and fewer dropped frames with no stutter or jitter when rotating large models.
Topics: PNY, NVIDIA, Solidworks, AI, NVIDIA GPU, Workflows, PNYPRO, Real-time ray tracing, Quadro RTX, nvidia quadro rtx, nvidia quadro rtx 4000, advance shading and simulation, solidworks 2019, solidworks visualize
In this blog post, I will go over the hardware considerations I used when putting together a system for benchmarking GPU performance for Deep Learning using Ubuntu 18.04, NVIDIA GPU Cloud (NGC) and TensorFlow. Keep in mind that everyone will have different budgets and requirements for their own systems, which can and will result in a wide range of configurations. My particular list should serve only as a reference; your system will likely be different based on your own requirements.
Before we dive into the details, let’s go over what we are seeking to accomplish. Our goal is to build a system to test the compute performance between different GPUs; therefore the GPU should be the only variable that changes between the different test runs. To ensure the consistency of our tests, we will remove any potential bottlenecks that will negatively impact GPU performance.
Topics: PNY, NVIDIA, NVIDIA Quadro, PNYPRO, NVIDIA GPU Cloud, Pro Tip, Turing, Quadro RTX, Artificial Intelligence, GeForce RTX, NGC, GPU-accelerated machine learning, NVIDIA CUDA, CUDA-X, Linux, Tensorflow, benchmark
