Introduction
The world's data centers are becoming more complex. Organizations need to address increasing demands for scale, cost and flexibility in their infrastructure. This is especially true for hyperscale cloud providers who must support a wide variety of workloads on a single platform.

GPUs are highly flexible compute engines that are rapidly gaining adoption for accelerating a wide variety of applications.
They are designed to perform large numbers of computations in parallel, using the CUDA^® programming model, which focuses on explicit parallelism and locality. As such, GPUs offer very high performance per watt when used for compute-intensive applications.

GPUs also provide significant benefits over CPUs in terms of memory bandwidth and throughput. This means that they can be used effectively even when there is not enough RAM available on the host machine (e.g., due to security concerns). In this way GPUs can help move data closer to your application where it needs it most: within the memory hierarchy of your server stack!

Topics: PNY, PNY PRO, NVIDIA GPUs, NVIDIA RTX, NVIDIA Data Center GPUs, NVIDIA Ampere, nvidia gtc 2022, NVIDIA GTC

NVIDIA^® has expanded the NVIDIA RTX™ family of professional graphics boards with the launch of the NVIDIA RTX A4500 and NVIDIA RTX A5500. The expanded product line meets an ever-widening range of use cases for creative, design, medical, scientific and technical professionals, NVIDIA RTX technology increases the productivity, creativity, and time to insight for today’s increasingly complex workflows and modern production pipelines.

Topics: PNY, Ampere, NVIDIA Data Center GPUs, NVIDIA Ampere, NVIDIA RTX A5500, NVIDIA RTX™ Professional GPUs, About NVIDIA Professional GPUs, NVIDIA RTX GPUs in Data Centers, PNY Blogs, NVIDIA RTX A4500

The NVIDIA RTX and Data Center GPU Benchmarks for Deep Learning whitepaper reviewed by PNY and NVIDIA, but developed and published by EXXACT, takes a careful and nuanced look at ResNet-50, a popular means of measuring the performance of machine learning (ML/AI) accelerators. NVIDIA's Data Center GPUs were tested with the Amber 22 GPU benchmark. Since Amber is a popular molecular dynamics application it gives real-world context to the outstanding benefits GPU acceleration offers for the scientific and technical computing community.

Topics: PNY, Ampere, NVIDIA Data Center GPUs, NVIDIA Ampere, NVIDIA RTX™ Professional GPUs, About NVIDIA Professional GPUs, NVIDIA RTX GPUs in Data Centers, PNY Blogs

"Is the GPU the New CPU?" is the latest e-guide written by Kurt Cagle from Data Science Central which looks at how GPUs are starting to overshadow their older CPUs siblings as the powerhouse of the modern computer, handling complex neural networks and visualization tasks. Other topics covered include "Are DPUs the Next Iteration of GPUs? and "GPU Networks and the Future".  Download the E-Guide below.

3D workflows are now an essential component of every engineering and manufacturing discipline. The rise of remote work, globally spread teams, an explosion in the number of often incompatible software tools, and the demand for compute-heavy technologies makes design collaboration exponentially harder – especially now. NVIDIA Omniverse™ Enterprise depends on NVIDIA RTX technology (RTX A6000, RTX A5500, RTX A5000, RTX A4500 and RTX A4000) – to let geographically disparate groups or hybrid office and work from home teams transparently exchange 3D data between popular 3D design tools they already know, maintain a single source of truth through sophisticated publish and subscribe capabilities, protect sensitive IP, and realize real-time multi-participant design collaboration and reviews, simulation, even digital twins of entire physical facilities.

Topics: PNY, NVIDIA GPU, PNY PRO, NVIDIA GPUs, Professional Visualization Solutions, NVIDIA RTX, NVIDIA Data Center GPUs, NVIDIA Ampere, Pro Configurator, NVIDIA GPU Configurator

PNY provides designers, engineers, scientists and architects with cutting-edge NVIDIA^® professional visualization and data center GPUs that boost their productivity, creativity, or reduce the time to insight and discovery.

From stunning industrial design, advanced special effects, complex scientific visualization, AI and big data analytics, or solving formerly intractable problems with HPC, NVIDIA Professional GPUs are the world’s preeminent visual and accelerated computing platform - from the desktop to data center and the cloud.

Topics: PNY, NVIDIA GPU, PNY PRO, NVIDIA GPUs, Professional Visualization Solutions, NVIDIA RTX, NVIDIA Data Center GPUs, NVIDIA Ampere, Pro Configurator, NVIDIA GPU Configurator

Overview

NVIDIA Metropolis is an end-to-end application framework that includes pre-trained models, training and optimization tools, deployment SDKs, CUDA-X libraries and the NVIDIA EGX Platform.

The NVIDIA Metropolis application framework makes it easier for developers to combine common video cameras and sensors with AI-enabled video analytics to provide operational efficiency and safety applications across a broad range of industries - including retail analytics, city traffic management, airport operations and automated factory inspections.

Applications are optimized to run on a wide range NVIDIA EGX platform hardware, allowing developers to deploy anywhere securely, from the edge to the cloud.

Topics: PNY, NVIDIA, NVIDIA GPU, PNYPRO, NVIDIA RTX, NVIDIA Data Center GPUs, NVIDIA EGX Platform, NVIDIA Metropolis, Metropolis, AI-enabled video analytics

Happy New Year!

Thank you for your continued partnership in 2021. This year, we introduced new sales tools and materials that helped make this an exciting and profitable year for us all. From all of us at PNY, we thank you and wish you and your families a healthy and Happy New Year!

Topics: PNY, XLR8 Gaming, NVIDIA, PC Memory, NVIDIA GPUs, PNYPRO, Professional Visualization Solutions, PNY SSD, PNY Memory, NVIDIA Data Center GPUs, NVIDIA Virtual GPU (vGPU), NVIDIA Ampere, NVIDIA Networking solutions

In his recent blog, PNY’s Professional Graphics and Data Center Product Marketing Manager for NVIDIA GPUs, Carl Flygare, took a deep dive into the technical capabilities of the NVIDIA A100 Tensor Core GPU for PCIe. Utilizing the latest Ampere architecture and HBM2e memory technology, NVIDIA A100 delivers unprecedented acceleration at every scale to power the highest performing data centers for AI, data analytics, and HPC across the world.

Topics: PNY, NVIDIA, NVIDIA GPUs, PNYPRO, Professional Visualization Solutions, RT Cores, NVIDIA RTX, NVIDIA Data Center GPUs, NVIDIA A40, NVIDIA A10, NVIDIA A30, NVIDIA Ampere, NVIDIA A100 80GB, NVIDIA A100 40GB, neural networks, Virtual Desktop Infrastructure

The NVIDIA^® A100 Tensor Core GPU for PCIe (40GB or 80GB version) delivers unprecedented acceleration at every scale to power the world’s highest performing elastic data centers for AI, data analytics, and HPC. Powered by the NVIDIA Ampere architecture, NVIDIA A100 is the engine of the NVIDIA data center platform, providing up to 20x higher performance over the prior generation, and can be uniquely partitioned into seven GPU instances to dynamically adjust to shifting demands. The NVIDIA A100 (40GB or 80GB) delivers the world’s fastest memory bandwidth at over 2 terabytes per second (TB/s) to run the largest models and datasets.

Topics: PNY, NVIDIA, Deep Learning, AI, NVIDIA GPU, PNYPRO, hpc, data center, high performance computing, Multi-Instance GPU, NVIDIA A100, NVIDIA Data Center GPUs, NVIDIA Ampere, NVIDIA A100 80GB, NVIDIA A100 40GB, Quantum Expresso

Today, we live in a data-centric world where information is constantly generated and transported from devices to data centers for storage and analysis. Technologies such as 5G networking and AI at the Edge further accelerate data generation and big data analytic needs. The sheer volume of data needing to be processed makes NVIDIA GPUs like the NVIDIA A100 the de-facto choice for processing enormous and exponentiating datasets. Modern data centers are composed of hundreds, if not thousands of NVIDIA^® GPUs, just to meet demand for generating actionable insights quickly from massive amounts of raw data.

To maximize the GPU utilization, data center operators must ensure data flows rapidly from storage to individual GPUs across the entire data center, which prevents GPUs from idly waiting for data to arrive. As GPU performance improves and GPU memory size (frame buffer) also expands, the demand for faster network throughput becomes mandatory as well. Today, up to 400 gigabits per second (400 Gb/s) transfer rates in both Ethernet and InfiniBand are available. At this speed, traditional methods of CPU-based data packet processing simply consume too much system resources and start to impact overall system performance. NVIDIA SmartNIC and Data Processing Unit, (DPU) solutions have dedicated data processors to offload data processing from CPUs, improving data availability and supporting advanced new technologies like GPUDirect that measurably boost overall data center processing capabilities.

PNY is excited to be an NVIDIA Networking product partner carrying and supporting both NVIDIA Ethernet and InfiniBand product categories, including NVIDIA ConnectX SmartNICs, NVIDIA BlueField DPUs, associated accessories, and NVIDIA Spectrum Network Switches, and LinkX transceivers and cables.

Topics: Deep Learning, NVIDIA GPU, data center, server, Networking, Compute, NVIDIA Data Center GPUs, Mellanox, ethernet, 400 Gb/s, 200 Gb/s, 100 Gb/s, InfiniBand