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End-to-End AI, Cloud, and HPC NVIDIA Networking Solutions now Available from PNY

Posted by PNY Pro on Fri, Jul 23, 2021 @ 03:15 PM

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.

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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

NVIDIA GTC 2021 Strategic Announcements

Posted by PNY Pro on Fri, May 14, 2021 @ 03:30 PM

At GTC 2021, NVIDIA went beyond its traditional GPU offerings by unveiling a new data center CPU, a next generation data processing unit, new DGX systems for AI computing, and new Ampere-architecture based GPU boards for professional workstations and the data center along with the upcoming general availability of NVIDIA Omniverse Enterprise.

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Topics: PNY, NVIDIA, AI, AEC, PNYPRO, Manufacturing, Media + Entertainment, Professional Visualization Solutions, GTC, hpc, NVIDIA Omniverse, NVIDIA RTX A6000, NVIDIA RTX, NVIDIA Data Center GPUs, GTC 2021, NVIDIA RTX A5000, NVIDIA RTX A4000, NVIDIA A10, NVIDIA A30, NVIDIA A16, DGX SuperPOD, NVIDIA DGX, DPU

NVIDIA Announced A30, A16, and A10 at GTC21

Posted by PNY Pro on Fri, Apr 23, 2021 @ 06:00 PM

Modern data centers are the backbones of rapid innovations. From scientific research, artificial intelligence to render the latest blockbuster TV series that exists in a universe far-far away, data centers around the world powered by NVIDIA® Data Center GPUs are helping researchers solve our most difficult scientific problems and helping professionals reimagine products at a record pace.

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Topics: PNY, GPU, AI, NVIDIA GPU, RT Cores, Tensor Cores, Real-time ray tracing, data center, Ampere, Multi-Instance GPU, NVIDIA Data Center GPUs, GTC 2021, NVIDIA A10, NVIDIA A30, NVIDIA GTC21, NVIDIA A16, Third-Generation Tensor Cores, Second-Generation RT Cores

NVIDIA A100 PCIe Tensor Core GPU is Now Available from PNY Technologies

Posted by PNY Pro on Mon, Mar 29, 2021 @ 07:00 PM

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

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