HPC Solutions for Data Centers, Workstations, and Network Infrastructure Featured
SC21, the international conference for High Performance Computing (HPC), networking, storage, and analysis, is being held from November 14–19 in St. Louis, MO. At this year's event, PNY’s partner One Stop Systems (OSS) will spotlight the latest NVIDIA Data Center and Workstation GPUs for HPC, AI, Data Science, Big Data Analytics, and real-time photorealistic ray traced graphics – since visualizing a problem is often an essential precursor to solving it.
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Topics:
PNY,
NVIDIA,
AI,
NVIDIA GPUs,
PNYPRO,
hpc,
Big Data Analytics,
Supercomputing,
Accelerated Data Science,
NVIDIA RTX,
Mellanox,
SC21,
One Stop Systems,
NVIDIA Networking solutions
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
The NVIDIA® A100 Tensor Core GPU offers unprecedented acceleration at every scale and is accelerating the most important work of our time, powering the world’s highest-performing elastic data centers for AI, data analytics, and HPC. Powered by the NVIDIA Ampere architecture, A100 is the engine of the NVIDIA data center platform. A100 provides up to 20x higher performance over the prior generation and can be partitioned into seven GPU instances to dynamically adjust to shifting demands.
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Topics:
PNY,
NVIDIA,
Deep Learning,
AI,
PNY PRO,
GPU rendering,
NVIDIA GPU Cloud,
genomics,
hpc,
Big Data Analytics,
data center,
5G Networks,
HTC VIVE Pro Eye,
high performance computing,
Ampere,
NVIDIA RTX GPU,
NVIDIA RTX,
A100,
NVIDIA A100,
Tensor Core GPU,
NVIDIA Data Center GPUs,
Cloud Gaming
Higher Education Institutions are continually pushing the frontiers of technology and endeavoring to provide their researchers, faculty and students with the most advanced research and learning tools. For a limited time, PNY is pleased to support these efforts by providing NVIDIA® Quadro® Education Kits at significant discounts.
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Topics:
PNY,
NVIDIA,
NVIDIA Quadro,
AI,
Photorealistic Rendering,
NVIDIA GPU,
PNYPRO,
Higher Educational Kits,
NVIDIA Turing Architecture,
NVIDIA Quadro RTX 6000,
NVIDIA Quadro RTX 5000,
NVIDIA Quadro RTX 8000,
Big Data Analytics,
Education,
NVIDIA Quadro RTX 8000 Passive,
NVIDIA Quadro RTX 6000 Passive,
Scalable Visualization Systems,
Research,
Learning
NVIDIA® has certified and supports deployment of select Quadro® RTX™ products in the data center for use cases ranging from production rendering to vGPU (virtual GPU) or AI and big data analytics. Suitable NVIDIA products include the Quadro RTX 8000 and the Quadro RTX 6000 (active or passively cooled). Server enclosures for actively cooled boards are readily available, but the new passive products are compatible with a wider array of systems. The availability of NVIDIA Quadro RTX products for server deployment opens up new possibilities for the data center.
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Topics:
PNY,
VR,
NVIDIA Quadro,
AI,
NVIDIA GPUs,
NVIDIA RTX Technology,
ray tracing,
NVIDIA Quadro RTX 6000,
NVIDIA Quadro RTX 8000,
RTX Server,
Big Data Analytics,
AI and Big Data Analytics,
vGPU,
Scalable Visualization Systems,
Offline Rendering,
Accelerated Desktop Rendering,
Powerful Virtual Workstations,
NVIDIA Quadro RTX Servers
The introduction of passively cooled Quadro RTX 8000 and RTX 6000 GPUs enable the integration of RTX-powered solutions into existing (or future) server enclosures suitable for NVIDIA Tesla full-height and dual-slot width passively cooled boards – a change that significantly widens systems compatibility – and a first for any ultra-high-end Quadro product.
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Topics:
PNY,
NVIDIA,
VR,
NVIDIA Quadro,
AI,
PNY PRO,
NVIDIA GPUs,
Tensor Cores,
Real-time ray tracing,
Quadro RTX,
RTX Server,
Big Data Analytics,
AR,
NVIDIA Quadro Solutions,
eXtended Reality,
data center,
NVIDIA Quadro RTX 8000 Passive,
NVIDIA Quadro RTX 6000 Passive,
vGPU,
XR
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
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.
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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
