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The annual Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), the world’s largest modeling, simulation and training event, opens today in Orlando, Florida. If you are attending I/ITSEC 2019, we invite you to meet with PNY’s Partners to discuss your NVIDIA Quadro GPU needs, including NVIDIA Quadro MXM Embedded, GPU Down and the latest NVIDIA Quadro RTX Solutions. NVIDIA Quadro GPUs provide the extreme graphics and compute performance demanded by mission-critical aerospace and defense applications. 

Topics: VR, Simulation, NVIDIA Quadro, Deep Learning, AI, CAE, CAD, Technology, Embedded MXM, RT Cores, NVIDIA Turing Architecture, I/ITSEC, Modeling, nvidia quadro rtx, hpc, I/ITSEC 2019, GPU Down, AR, Interservice/Industry, NVIDIA Quadro MXM, Education, Scientific Visualization, Signal Processing, Mission Simulators

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.

Topics: PNY, NVIDIA, GPU, NVIDIA Quadro, AI, PNY PRO, NVIDIA Quadro GPUs, Quadro RTX, Artificial Intelligence, Virtualization

AI and big data analytics are changing the way enterprises and institutions are making decisions and delivering products and services worldwide.  Data scientists (and others) need sophisticated hardware, development, and software platforms to separate actionable intelligence, patterns and trends from daily data tsunamis.

It is imperative to separate the digital wheat from the chaff, and new Quadro^® RTX™ GPUs with Tensor Cores, mixed precision compute, and unprecedented GPU memory capacity provide the hardware foundation to meet today’s AI and analytics challenges.  Turnkey solutions like the NVIDIA-Powered Data Science Workstation provide data scientists and others with the productivity enhancing tools they need.  OmniSci’s GPU accelerated analytics platform overcomes the scalability and performance limitations of legacy analytics tools faced with the scale, velocity and location attributes of today’s big data analytics.

Topics: PNY, NVIDIA, Webinar, NVIDIA Quadro, AI, PNY PRO, NVIDIA Quadro GPUs, Quadro RTX, Data Science Workstation, nvidia quadro rtx 4000, data science, Big Data Analytics, omnisci, turnkey solutions

Data is fundamentally changing the way companies do business, driving demand for data scientists and increasing the complexity in their workflows.  To meet these challenges Data scientists (and others) need sophisticated hardware, development, and software platforms which traditionally entailed IT or high-cost Data Science professionals spending many man hours configuring an engineering workstation that would meet their daily demands.  With the launch of Quadro RTX, a new class of system was introduced– the NVIDIA-Powered Data Science Workstation – that delivers a fully integrated hardware and software solution for data science. This is just one of the reasons why Digital Engineering (DE) magazine selected the NVIDIA-Powered Data Science Workstation as its Editor’s Pick of the Week.

Topics: PNY, NVIDIA, GPU, VR, NVIDIA Quadro, AI, PNYPRO, nvidia quadro rtx, Data Science Workstation, Tensorflow, Digitial Engineering, Big Data Analytics, Editor's Pick of the Week

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:

Topics: PNY, NVIDIA, Video, VR, AI, AEC, SIGGRAPH, nvidia quadro rtx, Silverdraft, videographer, Virtual Production, GauGAN, Advanced Graphics, AEC Workflows, SIGGRAPH 2019

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

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

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