Welcome to Mitch’s Video Round up! This is the first in a series of Video Round Ups produced by PNY’s resident videographer, Mitch Palmer. As a recent SIGGRAPH 2019, attendee, the largest show for Computer Graphics and animation, Mitch interviewed industry movers and shakers. Enjoy the results below:
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.
- GeForce Game-Ready driver vs. Studio driver
- Quadro ODE driver vs. QNF driver
- Standard Package vs DCH Package
As one of the world’s largest computer graphics and related technologies shows, SIGGRAPH has been a launch pad redefining the possible, based on the latest advances in computer graphics, animation, VR and AR, gaming, and emerging technologies like AI. Held last week at the Los Angeles Convention Center, SIGGRAPH 2019 was no exception. PNY and select partners proudly featured revolutionary NVIDIA Quadro RTX technology and solutions that are rapidly setting new industry standards for 3D product design, architecture, manufacturing, M&E, VFX, scientific visualization, and gaming.
Topics: PNY, NVIDIA, GPU, VR, NVIDIA Quadro, AI, CAD, Autodesk, SIGGRAPH, 3D Design, GPL, Manufacturing, NVIDIA RTX Technology, realtime ray tracing, Media + Entertainment, 8K, Architecture, VFX, NVIDIA Quadro RTX 6000, NVIDIA Quadro RTX 8000, Autodesk Arnold
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!
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.
As a market leader in technology information for design engineering teams, Digital Engineering’s focus is on cutting-edge editorial content to help design engineering teams discover, evaluate and specify the technologies and processes that shorten the design cycle and enable optimal designs. It is not surprising that in the current June Issue there are three articles featuring NVIDIA Quadro GPUs and how they are making a difference to design workflows.
Topics: PNY, NVIDIA, Rendering, VR, Solidworks, AI, Digital Engineering, NVIDIA GPU, CAD, DE, PNYPRO, NVIDIA Quadro RTX 6000, nvidia quadro rtx, NVIDIA Quadro RTX 5000, nvidia quadro rtx 4000, SuperWorkstations, solidworks 2019, solidworks visualize, articles, Product Design
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
As Brian Albright points out in his article for Digital Engineering on Superworkstations, the introduction of new multi-core CPUs, ultra-fast GPUs and terabytes of memory has made it possible for designers to now handle real-time simulation, rendering, virtual reality applications and complex data science on a desktop engineering workstation. The only draw back is the budget. In his article Albright interviews PNY, NVIDIA and other workstation experts to determine where it makes sense to invest your IT budget based on your workflow.