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Live Webinar: NVIDIA RTX - Accelerate Your Creativity and Deliver Your Project On Time

Posted by PNY Pro on Fri, Jul 09, 2021 @ 05:25 PM

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.

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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

Podcast: How NVIDIA Data Science Solutions are Transforming Data Science and Big Data Analytics

Posted by PNY Pro on Fri, Jun 11, 2021 @ 12:00 PM

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.

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Topics: PNY, NVIDIA, AI, NVIDIA GPU, PNY PRO, Healthcare, Artificial Intelligence, data science, Big Data Analytics, AI and Big Data Analytics, NVIDIA RTX, podcast

High-Performance Visual Computing in the Data Center Extended to Professionals Everywhere

Posted by PNY Pro on Fri, Apr 30, 2021 @ 01:30 PM

Join Carl Flygare from PNY and Tina Gholami from NVIDIA for a live webinar, including a Q&A session, on the NVIDIA EGX Platform for Professional Visualization.  As the world continues to shift and enterprises across the globe rethink post-pandemic infrastructure, enhancing the ability of professionals to work remotely remains top of mind. By joining the webinar on May 6, you will learn how NVIDIA EGX Platform for professional visualization enables artists, architects, product designers, and more to do their best work – from anywhere – at a fraction of the cost, space, and power requirements of CPU-based solutions. 

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Topics: PNY, NVIDIA, Webinar, Rendering, NVIDIA GPU, PNY PRO, data science, Virtualization, data center, NVIDIA Omniverse, Omniverse, GPU Virtualization, NVIDIA RTX, NVIDIA EGX Platform, NVIDIA Virtual GPU (vGPU)

NVIDIA RTX Solves the Most Complex Problems in AI, Data Science, Big Data Analytics and HPC

Posted by PNY Pro on Fri, Mar 19, 2021 @ 02:00 PM

PNY realizes and appreciates that scientists, researchers, and engineers are solving the world’s most important data science and big data analytics challenges with AI and high-performance computing (HPC). Businesses, even entire industries, harness the power of AI to extract new insights from massive data sets, both on-premises and in the cloud. New NVIDIA® Ampere architecture-based GPUs, designed for the age of elastic computing, deliver the next giant leap by providing unmatched acceleration at every scale, enabling innovators to push the boundaries of human knowledge forward.

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Topics: PNY, NVLink, AI, NVIDIA GPU, PNYPRO, RT Cores, Tensor Cores, GTC, hpc, data science, AI and Big Data Analytics, AI Denoising, Ampere, NVIDIA RTX, NVIDIA Automatic Mixed Precision, TF32, Multi-Instance GPU, A100

NVIDIA Announces GTC 2020 Keynote with CEO Jensen Huang Set for May 14

Posted by PNY Pro on Wed, May 13, 2020 @ 02:30 PM

Get Amped for Latest Platform Breakthroughs in AI, Deep Learning, Autonomous Vehicles, Robotics and Professional Graphics

NVIDIA will release its GTC 2020 keynote address, featuring founder and CEO Jensen Huang, on YouTube on May 14, at 6 a.m. Pacific time.

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Topics: NVIDIA, AI, Healthcare, data science, GTC 2020, Keynote Address, autonomous machines, Jensen Huang, high performance computing, YouTube

LIVE WEBINAR: NVIDIA Quadro Powered Data Science Workstations and OmniSci – Leading the Transition to AI and Big Data Analytics

Posted by PNY Pro on Sat, Oct 05, 2019 @ 12:00 PM

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.

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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

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

DE Article: SuperWorkstations! (Where does it makes sense to invest your IT budget)

Posted by PNY Pro on Mon, Jun 17, 2019 @ 01:30 PM

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.

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Topics: PNY, Virtual Reality, Rendering, VR, Digital Engineering, NVIDIA GPU, PNY PRO, Quadro RTX, nvidia quadro rtx, data science, NVIDIA CUDA, SuperWorkstations

PNY Pro Tip #12: Benchmark for Deep Learning using NVIDIA GPU Cloud and Tensorflow (Part 1)

Posted by PNY Pro on Fri, May 03, 2019 @ 10:31 AM

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.

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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

NVIDIA Powered Data Science Workstation

Posted by PNY Pro on Wed, Apr 24, 2019 @ 01:35 PM

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).

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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

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