Announced at GTC 21 in mid-April, NVIDIA's latest additions to their professional graphics product line will be the subject of an upcoming Webinar with speakers John Della Bona from NVIDIA, and PNY's own Carl Flygare. With new GPUs based on the latest Ampere architecture, and enhanced small-form factor NVIDIA Turing architecture series, NVIDIA’s products continue to advance the boundaries of the possible compared to previous generations and current competitors. Dive into this session with John and Carl to explore how NVIDIA's latest category redefining solutions are enabling professionals to deliver their best work, and how they’re able to unleash new vistas of creativity and productivity.
Topics: PNY, NVIDIA, Webinar, AI, Photorealistic Rendering, NVIDIA GPU, PNY PRO, Workflows, NVIDIA Turing Architecture, Artificial Intelligence, data science, GPU Virtualization, NVIDIA RTX, Computational Fluid Dynamics, GTC 2021, small form factor, NVIDIA Ampere, bioinformatics
In this podcast, hosted by Data Science Central’s Sean Welch, speaker Carl Flygare from PNY sheds light on how NVIDIA’s recent revolutionary innovation in AI is transforming Data Science along with Big Data Analytics.
Throughout its 47-year history, SIGGRAPH has consistently defined the latest capabilities in graphics by showcasing innovative, cutting edge and emerging technologies across the many sub-fields of computer graphics. This year was no different even as the conference shifted to a virtual event and where NVIDIA once again cast a bright light on exciting new capabilities in advanced graphics, real-time ray tracing, and AI.
Ground-breaking demos powered by NVIDIA® Quadro® RTX™ products and featuring NVIDIA Research’s latest work, plus technical sessions exploring tools and solutions for graphics will inspire designers, artists, developers and researchers to do their best work with NVIDIA solutions from where ever they work.
Topics: PNY, NVIDIA, Deep Learning, NVIDIA GPU, PNYPRO, Tensor Cores, Quadro RTX, nvidia quadro rtx, Artificial Intelligence, NVIDIA NGX Technology, Blender, Quadro Experience, NGX API, AI In-Painting, AI Slow-Mo, AI Up-Res, SIGGRAPH 2020
The NVIDIA® NGX neural graphics framework is a new deep learning-based SDK that will bring powerful new previously unrealizable AI-based features that accelerate and enhance graphics, image, and video processing to innovative applications from ISVs ranging from industry heavyweights to disruptive startups. NVIDIA NGX utilizes the Tensor Cores found in NVIDIA Quadro® RTX™ series products to implement previously unheard-of features while making it easier for developers to integrate AI features into their application(s) with pre-trained neural networks.
Topics: PNY, NVIDIA, Deep Learning, NVIDIA GPU, PNYPRO, Tensor Cores, Quadro RTX, nvidia quadro rtx, Artificial Intelligence, NVIDIA NGX Technology, Quadro Experience, NGX API, AI In-Painting, AI Slow-Mo, AI Up-Res
Modern GPUs have the ability to connect multiple displays to a single graphics card. Multi-screen environments increase the impact of visual imaging across commercial environments, and enhance enthusiast home gaming environments.
Technologies such as NVIDIA Surround and AMD Eyefinity offer the ability to bind multiple displays together in software to create a massive virtual display. However, Surround and Eyefinity are both consumer-level technologies, which come with a multitude of limitations and compromises, such as support for only 3 to 6 monitors, which are not suitable for creative professional, interactive digital signage, live events, security, or industrial applications.
Topics: NVIDIA, NVIDIA Quadro, Immersive Displays, Pro Tip, Quadro RTX, NVIDIA Turing Architecture, Artificial Intelligence, Multi-display, NVIDIA Mosaic, GPU acceleration, Quadro RTX GPUs, Education, NVIDIA Quadro Solutions
Architectural companies, whether rendering high-resolution interior or exterior design images in V-Ray, generating real-time walkthroughs in Enscape, or collaborating through room-scale VR experiences in Unreal Engine, are relying on NVIDIA Quadro RTX GPUs to power their production pipeline. Read how architectural companies are using NVIDIA Quadro RTX technology to explore larger CAD and BIM data sets, iterate and validate designs more quickly, deliver better projects and content to their clients in less time, and manage construction sites to reduce rebuilds and costs.
Topics: NVIDIA, Rendering, VR, NVIDIA Quadro, AI, Design, NVIDIA GPU, PNY PRO, CAD, NVIDIA GPUs, NVIDIA Quadro GPUs, NVIDIA RTX Technology, Architecture, RT Cores, Tensor Cores, NVIDIA Turing Architecture, nvidia quadro rtx, Artificial Intelligence, real-time rendering, CGarchitect, Chaos V-Ray, Enscape, unreal engine, data, advanced shading
With 3DEXPERIENCE® World 2020 (formerly known as SOLIDWORKS World) just around the corner we thought it was a good time to look at the benefits NVIDIA Quadro professional graphics boards can bring to your SOLIDWORKS workflow.
Topics: PNY, Virtual Reality, VR, 4K, Solidworks, NVIDIA Quadro, AI, Photorealistic Rendering, 3D Design, SOLIDWORKS WORLD, nvidia quadro rtx, Artificial Intelligence, solidworks visualize, RealView, 3D Experience World 2020
NVIDIA’s GPU Technology Conference in Washington, D.C., the premier artificial intelligence (AI) event on the east coast, is less than two weeks away. As a proud sponsor of GTC DC, PNY is excited to demonstrate how NVIDIA-powered RTX servers featuring multiple Quadro RTX 8000 or RTX 6000 graphics boards, and solutions built with NVIDIA embedded Quadro GPUs, are answering tomorrow’s visual computing, AI, and big data analytics questions today with unprecedented functionality and performance.
Topics: NVIDIA, GPU Technology Conference, NVIDIA Quadro, AI, PNY PRO, MXM, GTC DC, Embedded MXM, NVIDIA Quadro RTX 6000, NVIDIA Embedded GPU Solutions, Artificial Intelligence, NVIDIA Quadro RTX 8000, RTX Server, gtcdc2019
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.
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