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
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.
Topics: PNY, Virtual Reality, Rendering, VR, Digital Engineering, NVIDIA GPU, PNY PRO, Quadro RTX, nvidia quadro rtx, data science, NVIDIA CUDA, SuperWorkstations
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.
Topics: PNY, NVIDIA, Rendering, NVIDIA Quadro, NVIDIA GPU, PNY PRO, Workflows, Autodesk, 30-day trial, Quadro RTX, nvidia quadro rtx, Autodesk Arnold, Arnold 5.3
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.
Topics: PNY, NVIDIA, NVIDIA GPU, NVIDIA Quadro P2000, PNYPRO, Giveaway, Contest, Quadro RTX, nvidia quadro rtx, rtx for creators
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.
Topics: PNY, NVIDIA, VR Ready, NVIDIA GPU, Quadro for VR, VR Solution, PNYPRO, Quadro RTX, nvidia quadro rtx, RAPIDS, case study, Toyota, Silverdraft
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
