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.
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.
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.
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.
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.