ServeTheHome (STH) is regarded as the IT professional's guide to servers, storage, networking, and high-end workstation hardware. Recently STH rigorously tested and reviewed NVIDIA’s most powerful Quadro professional graphics board the Quadro RTX 8000 and awarded it an impressive score of 9.3/10
Opening in Denver on November 17, Supercomputing 2019 lets you interact with the world’s leading experts in HPC and learn how the latest cutting-edge technology provides computational solutions for the world’s greatest challenges ranging from precision medicine and agricultural technologies to autonomous vehicles in smart cities and renewable energy. At SC19, PNY invites you to visit our Partner’s booths, meet with product experts, and see how NVIDIA® Quadro® RTX™ GPU powered solutions, including RTX Servers and NVIDIA Powered Data Science Workstations, are accelerating deep learning, machine learning, machine vision, and big data analytics.
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
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
The world is driven by innovation, and NVIDIA remains one of the largest contributors to the evolution of modern technology. With the advent of Industry 4.0, a world of possibilities never before considered becomes reality. Autonomous drones equipped with Deep Learning-enabled GPUs working alongside humans, “aware” of their surroundings. Vast amounts of data interpreted and quickly dissected to reach novel conclusions never before realized or inferred by human analysts that used to take days, months, or even years, saving time and resources, while delivering information vital to information age enterprises. Among these many advancements, the possibilities NVIDIA and Industry 4.0 bring to Product Design will revolutionize the future.
Topics: PNY, Virtual Reality, NVIDIA Quadro, Digital Engineering, NVIDIA GPU, NVIDIA GPUs, PNYPRO, NVIDIA RTX Technology, Engineering, Turing, ray tracing, Tensor Cores, Quadro RTX, NVIDIA Turing Architecture, nvidia quadro rtx, Artificial Intelligence, Industry 4.0
As Adobe MAX draws near, the excitement is mounting. Over 12,000 of the top graphic and interactive designers, creative and art directors, interactive directors, photographers, and videographers will come together to learn about the latest technologies that can enable their creativity.
No where will this be as prevalent than on the NVIDIA booth (717), where NVIDIA will show how NVIDIA and Adobe have collaborated closely to optimize leading-edge Adobe CC solutions for powerful NVIDIA Quadro RTX GPU-powered systems to provide a better experience for creators everywhere. The NVIDIA Quadro RTX™ family based on Turing architecture., brings the most significant advancement in computer graphics in over a decade to professional workflows. Designers and artists can now wield the power of hardware-accelerated ray tracing, deep learning, and advanced shading to dramatically boost productivity and create amazing content faster than ever before.
“Turing is NVIDIA’s most important innovation in computer graphics in more than a decade."
— Jensen Huang, founder and CEO of NVIDIA
Launched at SIGGRAPH 2018, NVIDIA’s Turing GPU Architecture features new RT Cores to accelerate ray tracing and Tensor Cores for AI functionality which, together for the first time, make realtime ray tracing possible.
These two additions to the Turing architecture GPU — along with more powerful compute for simulation and enhanced rasterization — usher in a new generation of hybrid rendering to address the $250 billion visual effects industry. Hybrid rendering enables cinematic-quality interactive experiences, amazing new effects powered by RT Cores and AI (Deep Neural Networks) and fluid interactivity on highly complex models or scenes.