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Pro Tip #14 Benchmark for Deep Learning using NVIDIA GPU Cloud and Tensorflow (Part 3): Software Setup

Posted by PNY Pro on Tue, Jul 23, 2019 @ 01:46 PM

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!

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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

Pro Tip #13: Benchmark for Deep Learning using NVIDIA GPU Cloud and Tensorflow (Part 2): Hardware Considerations

Posted by PNY Pro on Fri, Jun 21, 2019 @ 12:00 PM

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. 

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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

Quadro RTX – Revolutionizing Media and Entertainment Workflows

Posted by PNY Pro on Mon, Jan 21, 2019 @ 04:40 PM

Join us for a live webinar to learn how the new NVIDIA Turing™ architecture and powerful NVIDIA Quadro RTX™ GPUs fundamentally alters the technological and economic landscape for professional media and entertainment (M&E) workflows. Learn how Turing fuses real-time ray tracing, AI, simulation, and rasterization to open up amazing creative possibilities.

In this webinar you will:

  • Learn how Quadro RTX opens up new creative vistas and storytelling possibilities for M&E professionals.
  • Explore the dramatic impact NVIDIA’s RTX technology will have on production workflows and economics.
  • Explore how NVIDIA’s RTX platform brings cinematic real-time ray tracing to Turing GPUs.
  • See how NVIDIA’s NGX AI technology will transition graphics boards from tools to active assistants for a variety of labor intensive M&E tasks.
  • Learn the key specifications, benefits and features Quadro RTX offers for M&E workflows and use cases.

All live webinar attendees will be entered into a drawing for a chance to win an NVIDIA Quadro P4000! 



 Date

January 24, 2019

 Time

1:00PM EST
10:00AM PST

Hosts

Carl Flygare
Quadro and NVS Product Marketing Manager, PNY

Rick Champagne
Global Media & Entertainment Industry Management, NVIDIA

 


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Topics: PNY, NVIDIA, Webinar, Professional workflows, Simulation, NVIDIA Quadro, AI, PNY PRO, realtime ray tracing, NVIDIA GPU Cloud, Media + Entertainment, Quadro RTX, NVIDIA Turing Architecture, NVIDIA Quadro RTX 6000, rasterization, NVIDIA NGX Technology, NVIDIA Quadro RTX 5000

NVIDIA Transforms the Workstation for the Age of Deep Learning

Posted by PNY Pro on Wed, Apr 18, 2018 @ 02:23 PM

Image courtesy of KPF.

Written by BOB PETTE, Vice President of NVIDIA’s Professional Visualization Product Group.

Quadro GV100 with Volta architecture brings unprecedented capabilities in deep learning and simulation to designers, engineers and scientists.

As demand for deep learning continues to gain momentum, it’s already changing the way people work. Driving the next wave of advancement in deep learning-infused workflows is the NVIDIA Volta GPU architecture.

In his keynote address at the GPU Technology Conference 2018 in San Jose, NVIDIA founder and CEO Jensen Huang unveiled the new Volta-based Quadro GV100, and described how it transforms the workstation with real-time ray tracing and deep learning.

The Quadro GV100 addresses the growing demands of the world’s largest businesses — in such fields as automotive, architecture, engineering, entertainment and healthcare — to rapidly deploy deep learning-based research and development, accelerate deep learning-enhanced applications, enable photoreal VR and provide secure, anytime, anywhere access.

Bringing unprecedented capabilities in deep learning, rendering and simulation to designers, engineers and scientists, the new products allow professionals to design better products in a completely new way. GPU-accelerated techniques, like generative design, and the ability to conduct complex simulations faster mean businesses can explore more design choices, optimize their designs for performance and cost, and consequently bring ground breaking products to market faster.

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Topics: NVIDIA, Virtual Reality, GPUs, GPU, Rendering, Simulation Solution, GPU Technology Conference, Render, Professional workflows, VR, Simulation, NVIDIA Quadro, Deep Learning, AI, Design, Visualize, VR Ready, NVIDIA GPU, PNY PRO, Graphics Solutions, NVIDIA VR Technologies, Quadro for VR, VR capability, VR Ready GPUs, GPU Architecture, Technology, NVIDIA Quadro GPUs, PNYPRO, NVIDIA Holodeck, GV100, NVIDIA Volta, designers, engineers, scientists, NVIDIA GPU Cloud

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