NVIDIA Tesla A100 HGX-2 Edition Shows Updated Specs. 0000014795 00000 n 0000057216 00000 n 2U Dual Processor (AMD) GPU System with NVIDIA HGX A100 4-GPU 40GB/80GB, NVLink. Lenovo ThinkSystem SR670 V2 Server 2. 0000000956 00000 n NVLink also allows for a NVIDIA A100 | DATAShEET JUl20| SYSTEM SPECIFICATIONS (PEAK PERFORMANCE) NVIDIA A100 SXM4 for NVIDIA HGX™ NVIDIA A100 PCIe GPU GPU Architecture NVIDIA Ampere Double-Precision Performance FP64: 9.7 TFlOPS FP64 Tensor Core: 19.5 TFlOPS Single-Precision Performance FP32: 19.5 TFlOPS Tensor Float 32 (TF32): 156 TFlOPS | 312 TFlOPS* Half-Precision . trailer <<177907FA94704078BE58F313EC96ACBA>]/Prev 184067>> startxref 0 %%EOF 50 0 obj <>stream NVIDIA A100 | DATAShEET JAN|21 | 1. Register for a Workload Benchmarking Session. 1410 MHz. %PDF-1.4 %���� 315 0 obj <> endobj xref SC20—NVIDIA today unveiled the NVIDIA ® A100 80GB GPU — the latest innovation powering the NVIDIA HGX ™ AI supercomputing platform — with twice the memory of its predecessor, providing researchers and engineers unprecedented speed and performance to unlock the next wave of AI and scientific breakthroughs. RAID Support: SW RAID standard; Intel ® Virtual RAID on CPU (VROC), HBA or HW RAID with flash cache options.
0000011231 00000 n 0000016141 00000 n HGX-2D ATA| SHEET MAY18| GPUs 16x NVIDIA Tesla V100 GPU Memory 0.5TB total Performance 2 petaFLOPS AI 250 teraFLOPS FP32 125 teraFLOPS FP64 NVIDIA CUDA Cores 81,920 NVIDIA Tensor Cores 10,240 Il calore delle GPU NVIDIA HGX™ A100 viene rimosso attraverso un esclusivo scambiatore di calore liquido-aria a circuito chiuso che offre i vantaggi del raffreddamento a liquido, come il minore consumo energetico, un funzionamento silenzioso e prestazioni più elevate senza l'aggiunta di tubature. Colfax CX41060s-XK8 Up to 10x NVIDIA Ampere Architecture Tensor Core GPUs, Up to 2x 3rd Gen Intel® Xeon® Scalable Processors . According to the software lifecycle, the minimum recommended driver for production use with NVIDIA HGX A100 is R450. GIGABYTE, a supplier of high-performance computing (HPC) systems, today disclosed four NVIDIA HGX™ A100 platforms under development. %PDF-1.4 %���� Built for the Exascale Era, the HPE Apollo 6500 Gen10 Plus System accelerates performance with NVIDIA HGX A100 Tensor Core GPUs and AMD Instinct MI100 accelerators to take on the most complex HPC and AI workloads. 0000011988 00000 n 0000007014 00000 n 10G Dual port SFP + VGA. the NVIDIA HGX A100 8-GPU baseboard, up to six NVMe U.2 and two NVMe M.2, 10 PCI-E 4.0 x16 I/O, with Supermi-cro's unique AIOM support invigorating the 8-GPU commu-nication and data flow between systems through the latest technology stacks such as NVIDIA NVLink and NVSwitch, NVIDIA A100 GPUs bring a new precision, TF32, which works just like FP32 while providing 20X higher FLOPS for AI vs. Volta, and best of all, no code changes are required to get this speedup. AceleMax™ DGS-224AS AMD EPYC 7003 2 NVIDIA HGX A100 - 4 GPU 4 AceleMax™ DGS-428AS AMD EPYC 7003 2 NVIDIA HGX A100 - 8 GPU 8 AceleMax™ DGS-428A AMD EPYC 7003 2 NVIDIA A100 for PCIe, NVIDIA A30, NVIDIA A40 8 .
Since 8x A100 systems are usually $100K+ systems, and they are usually purchased as a cluster, not as single units, pricing is generally negotiated. 0000014365 00000 n 0000043456 00000 n The NVIDIA DGX™ A100 System is the the universal system purpose-built for all AI infrastructure and workloads, from analytics to training to inference. Supports NVIDIA HGX™ A100 with 8 x SXM4 GPU. 0000004767 00000 n With A100 80GB GPUs, a single HGX A100 has up to 1.3 terabytes (TB) of GPU memory and over 2 terabytes per second (TB/s) of memory bandwidth, delivering unprecedented acceleration. The system is built on eight NVIDIA A100 Tensor Core GPUs. 0000010899 00000 n 0000003477 00000 n 0000002406 00000 n NVIDIA DGX A100 System Architecture WP-10083-001_v01 | 3 3 NVIDIA A100 GPU - 8th Generation Data Center GPU for the Age of Elastic Computing At the core, the NVIDIA DGX A100 system leverages the NVIDIA A100 GPU (Figure 2), designed to efficiently accelerate large complex AI workloads as well as several small workloads, including 0000012355 00000 n 0000008782 00000 n 0000018235 00000 n Supports HGX A100 4-GPU 40GB (HBM2) or 80GB (HBM2e) 3. datasheet SuperMinute : 2U System with HGX A100 4-GPU The new AS -2124GQ-NART server features the power of NVIDIA A100 Tensor Core GPUs and the HGX A100 4-GPU baseboard. This post gives you a look inside the new A100 GPU, and describes important new features of NVIDIA Ampere architecture GPUs. 0000027710 00000 n The AMD EPYC 7763 measured estimated score of 798 is higher than the current . 0000070267 00000 n Image used courtesy of NVIDIA. 0000009062 00000 n H�0�:ViF �0 .|F) endstream endobj 478 0 obj <>/Filter/FlateDecode/Index[125 322]/Length 34/Size 447/Type/XRef/W[1 1 1]>>stream The company's CEO, Jensen Huang has . These platforms will be available with NVIDIA A100 Tensor Core GPUs. The documentation portal includes release notes, software lifecycle (including active drivers branches), installation and user guides..
0000021434 00000 n NVIDIA HGX A100 Pricing. More than a server, DGX A100 is the foundational building block of AI infrastructure and part of the NVIDIA end-to-end data center solution created from over a . 0000004221 00000 n I/O Expansion: Up to 4x PCIe Gen4 x16 adapters (2 front or 2-4 rear) and 1x PCIe Gen4 x16 OCP 3.0 mezz adapter (rear) depending on .
Vantageo 22DF2-E Key Feature Contact Us Download DataSheet 1. 现代云数据中心中运行的计算密集型应用程序的多样性 . 0000030403 00000 n Up to 8x 2.5" Hot Swap NVMe SSDs. When combined with NVIDIA NVSwitch™, up to 16 A100 GPUs can be interconnected at up to 600 gigabytes per second (GB/sec) to unleash the highest application performance possible on a single server. Supports 4* PCIe Gen4 x16 25W low-profile PCIe card: Display . Choice of local high speed 2.5, 3.5 and; NVMe storage. If the new Ampere architecture based A100 Tensor Core data center GPU is the component responsible re-architecting the data center, NVIDIA's new DGX A100 AI supercomputer is the ideal enabler to revitalize data centers. 0000002519 00000 n 0000009177 00000 n Still, at the end of the day, given the data we have, it seems like the Graphcore IPU-POD16 solution is close enough in power consumption to a NVIDIA HGX A100 system that they are roughly equivalent to the point where power is not the deciding factor. 0000043247 00000 n Complete System Only: To maintain quality and integrity, this product is sold only as a completely-assembled system (with minimum 2 CPUs, Min of 512GB Memory for 80G HGX-4 A100 OR Min of 256GB Memory for 40G HGX-4 A100, 1 Storage device, and 1 NIC included in IO . The new 4U GPU system features the NVIDIA HGX A100 8-GPU baseboard, up to six NVMe U.2 and two NVMe M.2, 10 PCI-E 4.0 x16 I/O, with Supermicro's unique AIOM support invigorating the 8-GPU communication and data flow between systems through the latest technology stacks . Supports 8* NVIDIA Tesla Ampere SXM4 A100 40GB or 80GB GPU, up to 400W; Supports NVSwitch fully-connected topology. Among the dozens of partner companies using the Nvidia HGX platform for next-generation systems are Atos, Dell Technologies, Hewlett Packard Enterprise (HPE . Click collapse menu. Up to 8x NVIDIA HGX™ A100 GPUs, Up to 2x AMD EPYC™ 7002/7003 Processors Learn More. Accordion closed, click open. 0000000016 00000 n 0000012559 00000 n NVIDIA DGX™ Foundry is a world-class, hosted solution for end-to-end AI development that includes NVIDIA Base Command™ software, NetApp storage, and access to fully managed NVIDIA infrastructure based on the NVIDIA DGX SuperPOD™ architecture. 0000000936 00000 n INSPUR NF5488A5 by PNY. ?B��4��Č�ZN*Sz��!I����B�e�9,>����o9��W���@3���������?������ZH�%umqhN�r�c^�wB�����@��(�K�3>Á�t�TW�ΰ�����qR�m#zG������DŪCa&u���t�RYH�JcB��)���3ˆ��b_"�O�Ӄ��/ �5�Z㳻��?d��~H��X&[��\qcd���3�n��av���}�����S�֕5��1�埀v',�J�kڗ�ͅ�G����mRϪP��x'�M�y���3�A���m-��izrq6�jMX���j����-|���t�*,|*?����?��A]u�(&a. SuperMinute: 4U System with HGX A100 8-GPU. MULTI-INSTANCE GPU (MIG) Storage: 6x hot-swap U.2 NVMe 2.5" drive bays (4 via PCI-E switch, 2 via CPU, SATA/NVMe Hybrid or SAS with optional HBA) (up to 10x hot-swap U.2 NVMe 2.5" available) > NVIDIA HGX A100 4 GPU . 0000005909 00000 n
0000002123 00000 n Up to 600GB/s GPU to GPU interconnection. 0000036178 00000 n 0000006515 00000 n 0000005924 00000 n Supporting eight of the latest A100 NVIDIA GPUs, 0000004879 00000 n • 32 DDR4 up to 8TB 8-Channel 3200MHz ECC Memory. 0000014132 00000 n
Shop for GPU Accelerators & explore NVIDIA Accelerators prices, features & specifications. NVIDIA HGX A100 combines NVIDIA A100 Tensor Core GPUs with high-speed interconnects to form the world's most powerful servers. 0000036004 00000 n 0000021163 00000 n . 0000005275 00000 n NVIDIA Ampere Architecture In-Depth. With support for eight NVIDIA A100 GPUs in NVIDIA® HGX™ baseboard, this AMD-based system benefits from OCPs infrastructure benefits, including 48V power, along with direct-to-chip liquid cooling to provide more compute and acceleration capabilities in a smaller footprint. Today, during the 2020 NVIDIA GTC keynote address, NVIDIA founder and CEO Jensen Huang introduced the new NVIDIA A100 GPU based on the new NVIDIA Ampere GPU architecture. 0000022725 00000 n � t4 uA���..���ai`1ю�5@������b���×� �L��r'�d���R�8�7h_�;¼����� �oYXv}�.r�4�4�!�A�A)�c�CC[������3�1(0M`b�=�����p(Ű�� C��e�R'�4��K ���v? NVIDIA HGX A100 8-GPU provides 5 petaFLoPS of FP16 deep learning compute. 0000004069 00000 n NVIDIA HGX ™ A100 PCIe Max TDP Power 400 W 400 W 250 W * With sparsity ** SXM GPUs via HGX A100 server boards; PCIe GPUs via NVLink Bridge for up to 2 GPUs . 0000015482 00000 n
0000005407 00000 n Altus XO3218GTS Server - Penguin Computing 0000070306 00000 n 0000043569 00000 n 0000000016 00000 n The new A100 with HBM2e technology doubles the A100 40GB GPU's high-bandwidth . Note: This article was first published on 15 May 2020. PDF NVIDIA A100 Tensor Core GPU Architecture PDF Nvidia V100 Tensor Core Gpu PDF NVIDIA-Certified Systems Datasheet NVIDIA DGX Systems - Exxact Corp 0000007297 00000 n Complete System Only: To maintain quality and integrity, this product is sold only as a completely-assembled system (with minimum 2 CPUs, minimum of 1.0TB Memory (2TB highly recommended) for 80G HGX-8 A100 OR . 93.561,00 €*. 0000025433 00000 n 0000009770 00000 n 0000004691 00000 n 0000038893 00000 n NVIDIA® HGX™ A100 - 8x A100 GPUs - 320GB Memory 2TB 3200MHz ECC Memory 4x 3.84TB U.2 NVMe PCIe 4.0 SSDs 8x Mellanox ConnectX-6 VPI 200GB InfiniBand. Reduce Upfront Costs. 0000039453 00000 n 0000003610 00000 n 1* front RJ45 IPMI port, and 1* rear RJ45 Switch BMC port. WekaIO Announces Support of NVIDIA's Turbocharged HGX™ AI Supercomputing Platform. 0000001378 00000 n • 4 x 2.5" NVMe U.2 4.0 / SATA Hot Swap Drives. NVIDIA A100. Click. trailer <]/Prev 648952/XRefStm 1942>> startxref 0 %%EOF 377 0 obj <>stream NVIDIA HGX combines NVIDIA A100 Tensor Core GPUs with high-speed interconnects to form the world's most powerful servers. 447 0 obj <> endobj xref 0000086476 00000 n 0000005812 00000 n Click collapse menu. �Zx}>����p�����P"&�*����HN5����'��A 5S������ ����0|��,�*e��ӭ>��w��1�K�o���L�S`"@j4�6.�������6���(�� �R�2���X7L��%�gI�$Q���I��$� �$a�ݒ���$�I����L3`E� The NVIDIA DGX™ A100 System is the the universal system purpose-built for all AI infrastructure and workloads, from analytics to training to inference. 这篇文章让您了解新的A100 GPU，并介绍了NVIDIA Ampere架构GPU的重要新功能。. 0000005011 00000 n With powerful compute and dense storage in a 4U form factor, the Altus XE4218GTS is an optimal platform for large scale enterprise and hyperscale deployments. Choice of front or rear high-speed networking. Since A100 SXM4 40 GB does not support DirectX 11 or DirectX 12, it might not be able to run all the latest games. NVIDIA HGX A100 8-GPU provides 5 petaFLOPS of FP16 deep learning compute. NVIDIA A100 | DATAShEET JUN|20 SYSTEM SPECIFICATIONS (PEAK PERFORMANCE) NVIDIA A100 for NVIDIA HGX™ NVIDIA A100 for PCIe GPU Architecture NVIDIA Ampere Double-Precision Performance FP64: 9.7 TFLOPS FP64 Tensor Core: 19.5 TFLOPS Single-Precision Performance FP32: 19.5 TFLOPS Tensor Float 32 (TF32): 156 TFLOPS | 312 TFLOPS* Half-Precision . 0000002843 00000 n 0000018908 00000 n Supports NVIDIA® HGX™ A100 8-GPU; Highest GPU communication using NVIDIA® NVLINK™ v3.0 + NVIDIA® NVSwitch™; NICs for GPUDirect RDMA (1:1 GPU Ratio) 2. DGX/HGX Systems is a line of purpose-built server systems based on Nvidia's GPU platform for AI and high-performance computing. These solutions attempt to adequately power the industry boom in AI and high-power computing. One will notice that the Supermicro SYS-420GP-TNAR+ result 1.0-1085 is slightly faster than the NVIDIA DGX result that . 2.4 GB/s. 315 63
The NVIDIA A100 GPU has a class-leading 1.6 terabytes per second (TB/s) of memory bandwidth, a greater than 70% increase over the last generation. NVIDIA DGX A100 leasing can help you bridge the gap between deploying the infrastructure you need and saving your IT budget. 0000012788 00000 n Supports NVIDIA ® NVLink ® and NVSwitch™ technology. The three new technologies added to Nvidia's HGX platform include: the Nvidia A100 80GB PCIe GPU, Nvidia NDR 400G InfiniBand networking and Nvidia Magnum IO GPUDirect Storage software. 1410 MHz. NVIDIA V100S Datasheet Author: NVIDIA Corporation Subject: The NVIDIA® V100 Tensor Core GPU is the world s most powerful accelerator for deep learning, machine learning, high-performance computing (HPC), and graphics. 0000006579 00000 n
0000008199 00000 n }��`�����ͩs肺���Z��. 2560 GB HB2 5120b.
• DGX A100 Datasheet • HGX A100 System Reference Design Collateral • Available under NDA . 19 0 obj <> endobj xref 0000013639 00000 n NVIDIA HGX A100 8-GPU and 4-GPU accelerators powered by NVIDIA A100 Tensor Core GPUs with NVLink, AMD Instinct MI100 accelerators, broad choice of PCIe GPU for HPC or AI. Ideal for large-scale deep learning training and neural network model applications. Built on the 7 nm process, and based on the GA100 graphics processor, the card does not support DirectX. NVIDIA DGX A100 640GB NVIDIA DGX A100 320GB GPUs 8x NVIDIA A100 80 GB GPUs 8x NVIDIA A100 40 GB GPUs GPU Memory 640 GB total 320 GB total Performance 5 petaFLOPS AI 10 petaOPS INT8 NVIDIA NVSwitches 6 System Power Usage 6.5 kW max CPU Dual AMD Rome 7742, 128 cores total, 2.25 GHz (base), 3.4 GHz (max boost) System Memory 2 TB 1 TB Networking 8x . 0000012692 00000 n 0000005296 00000 n PCIe. 0000002282 00000 n 0000008112 00000 n 0000028568 00000 n 0000002728 00000 n 0000007254 00000 n 0000011342 00000 n BIOS ANNA A100 .
CAMPBELL, Calif., June 29, 2021 - WekaIO ™ (Weka), the fastest-growing data platform for . 0000028486 00000 n 0000043827 00000 n 0000001942 00000 n NVIDIA HGX A100 (8-GPU) 55296. Close icon Accordion closed, click open. Supports the NVIDIA HGX A100 4-GPU complex with NVLink and Lenovo Neptune hybrid liquid cooling. 0000005903 00000 n 0000000016 00000 n Lenovo Neptune™ accelerated. 8x NVIDIA A100 40GB 400W Nvidia Smi Output. 0000002957 00000 n 0000011466 00000 n 1* front VGA port: Mgmt. The Tesla A100 was benchmarked using NGC's PyTorch 20.10 docker image with Ubuntu 18.04, PyTorch 1.7.0a0+7036e91, CUDA 11.1.0, cuDNN 8.0.4, NVIDIA driver 460.27.04, and NVIDIA's optimized model implementations.
H�\��n�@��~�9&��?��$��D�?Z�`쁵�ؖ1�~�\(� (����f����lҟ����l�]�N�2\�&�C8u}�����k�l�������v��y���,M�+^�������Ԇ��O���f�h��u��s�g���2m8F�o���>�.Ǟvm��ͷ�x����L��� �m��u��?����2�[|UI������ñ�SOI��ƛ��XUQ�Q?G]d���v��_�Y}�-��k� ����
Dual AMD EPYC™ 7002 series processor family. NVIDIA HGX combines NVIDIA A100 Tensor Core GPUs with high-speed interconnects to form the world's most powerful servers. 0000032963 00000 n 8 x SXM4 sockets for NVIDIA HGX A100 8-GPU 40GB/80GB 10 x Low-profile PCIe Gen4 x16 expansion slots 2 x M.2 slots: M-key; PCIe Gen4 x4; supports NGFF-2242/2260/2280 2 x USB 3.0 , 1 x VGA 2 x RJ45 1 x MLAN-6 x 2.5" NVMe/ SATA hybrid ports Speed and bandwidth: PCIe Gen4 or SATA 6Gb/s Dimensions Motherboard CPU Chipset Memory LAN Video Storage . 447 33 Computing Power/Speed A single GPU can offer the performance of hundreds of CPUs for certain workloads. 0000039258 00000 n NVIDIA releases drivers that are qualified for enterprise and datacenter GPUs. Buy NVIDIA Accelerators specifically designed for power-efficient, high-performance supercomputing, NVIDIA GPU Accelerators that delivers dramatically higher application acceleration than a CPU-only approach for a range of deep learning, scientific, and commercial applications.