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Nvidia DGX information


A rack containing five DGX-1 supercomputers

The Nvidia DGX represents a series of servers and workstations designed by Nvidia, primarily geared towards enhancing deep learning applications through the use of general-purpose computing on graphics processing units (GPGPU). These systems typically come in a rackmount format featuring high-performance x86 server CPUs on the motherboard.

The core feature of a DGX system is its inclusion of 4 to 8 Nvidia Tesla GPU modules, which are housed on an independent system board. These GPUs can be connected either via a version of the SXM socket or a PCIe x16 slot, facilitating flexible integration within the system architecture. To manage the substantial thermal output, DGX units are equipped with heatsinks and fans designed to maintain optimal operating temperatures.

This framework makes DGX units suitable for computational tasks associated with artificial intelligence and machine learning models.

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deep-learning systems by about 100 times. DGX is a line of supercomputers by Nvidia. In April 2016, Nvidia produced the DGX-1 based on an 8 GPU cluster, to improve...

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November 2020. Retrieved 17 November 2020. "NVIDIA DGX SuperPOD - NVIDIA DGX A100, AMD EPYC 7742 64C 2.25GHz, NVIDIA A100, Mellanox HDR Infiniband". TOP500...

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Computer performance by orders of magnitude

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BlueGene/L 2007 Supercomputer 960×1012 Nvidia DGX-1 The Volta-based upgrade increased calculation power of Nvidia DGX-1 to 960 teraflops. 1.026×1015: IBM...

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NVLink

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(NCCL)". NVIDIA Developer. May 10, 2017. "Inside Pascal: NVIDIA's Newest Computing Platform". 2016-04-05. Anandtech.com NVIDIA Unveils the DGX-1 HPC Server:...

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GPUs — 16X NVIDIA Tesla V100 GPU Memory — 512 GB total NVIDIA CUDA Cores — 81920 NVIDIA Tensor cores — 10240 System Memory — 1.5 TB The DGX servers are...

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Supercomputing in India

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S2CID 47348115. Retrieved 19 July 2020. "AIRAWAT - PSAI - NVIDIA DGX A100, AMD EPYC 7742 64C 2.25GHz, NVIDIA A100, Infiniband HDR | TOP500". www.top500.org. TOP500...

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2019 1PB storage 0.85 PFLOPS 1.7 PFLOPS IISER Pune PARAM Siddhi-AI 2020 Nvidia DGX SuperPOD based networking architecture, HPC-AI engine software frame works...

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As of June 2019[update], DGX SaturnV Volta, using "NVIDIA DGX-1 Volta36, Xeon E5-2698v4 20C 2.2GHz, Infiniband EDR, NVIDIA Tesla V100", tops Green500...

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higher absolute performance. AMD GPUs have taken the top 1 and displaced Nvidia in top 10 part of the list. The recent exceptions include the aforementioned...

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simulations and more". ZDNet. "Nvidia dips its toes into IaaS with subscriptions for DGX SuperPOD AI supercomputers". "Nvidia unveils BlueField 3 DPU. It's...

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NetApp

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switches with 100 Gbit/s ports, NetApp AFF storage systems, Nvidia DGX supercomputer servers. DGX servers interconnected with each other over RDMA over RoCE...

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Personal supercomputer

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computational power. TyanPSC Cray CX1 SGI Octane III Nvidia Tesla Personal Supercomputer Nvidia DGX Station Intel iPSC "Google Trends". Google Trends. Retrieved...

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NVS

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NVSwitch is a successor of the Nvidia DGX-1 servers and workstations A line of business graphics cards from Nvidia, see Nvidia Quadro#For business NVS Institutionen...

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Graphics processing unit

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simulations, and in AI to expedite training, as is the case with Nvidia's lineup of DGX workstations and servers, Tesla GPUs, and Intel's Ponte Vecchio...

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x iDataPlex system JADE, an Atos Bull system using 63 Nvidia DGX-1 JADE2 Atos Bull Nvidia DGX-1 Max-Q Atos Quantum Learning Machine Visual Computing...

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Platinum Partner. NVIDIA Corporation:Verne Global is an NVIDIA Preferred Partner and its data center campus is certified as NVIDIA DGX-Ready. [Cushman &...

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Transistor count

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August 22, 2022. "Nvidia Launches Hopper H100 GPU, New DGXs and Grace Superchips". HPCWire. March 22, 2022. Retrieved March 23, 2022. "NVIDIA details AD102...

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"OpenAI Gym", its platform for reinforcement learning research. Nvidia gifted its first DGX-1 supercomputer to OpenAI in August 2016 to help it train larger...

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