Deep Learning Servers

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Deep Learning Servers

Such systems can unlock the power of AI for enterprises, research groups, and academia.


DGX-1 is an appliance that integrates deep learning software, development tools and eight NVidia Tesla P100 GPUs — based on their new Pascal architecture — to pack computing power equal to 250 x86 servers into a device about the size of a stove top.


NVidia DGX-1


Component - Description

Base Server - Dual Intel Xeon CPU mother board with x2 9.6 GT/s QPI

- 8 Channel with 2 DPC DDR4, Intel C1610 Chipset

- AST2400 BMC

- GPU baseboard supporting 8 SXM2 modules and 4 PCIE x16 slots for IB NICs

- Chassis with 3+1 1600W Power supply and support for up to 12 2.5 inch drives

- x1 GbE Management Port

- x1 COM Port

- x2 USB 3.0 Ports (Rear)

CPU - x2 E5-2698 v4, 20-core, 2.2GHz, 135W

GPU - x8 Tesla P100 16GB

System Memory - 512 GB using x16 2133 32GB DDR4 LRDIMM

SAS Raid Controller - 8 port LSI SAS 3108 RAID Mezzanine

10 GbE NIC - 10 GbE dual port X540 Mezzanine

IB EDR NICs - x4Mellanox ConnectX-4 VPI MCX455A-ECAT, Single Port, x16 PCIE

SSD RAID Array - x4 1.92TB, 6 GB/s, Raid 0 Configuration, Samsung PM863 6 Gb/s SATA 3.0 SSD

SSD OS Drive - x1 480 GB, 6 GB/s, Intel S3610 6 Gb/s SATA 3.0 SSD

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Data Science & Analytic

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Defense and Intelligence

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Deep Learning and Machine Learning

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Manufacturing: CAD and CAE

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COMPUTATIONAL STRUCTURAL MECHANICS

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DESIGN AND VISUALIZATION

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ELECTRONIC DESIGN AUTOMATION

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Media and Entertainment[ANIMATION, MODELING AND RENDERING]

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COLOR CORRECTION AND GRAIN MANAGEMENT

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COMPOSITING, FINISHING AND EFFECTS

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EDITING

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ENCODING AND DIGITAL DISTRIBUTION

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ON-AIR GRAPHICS

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ON-SET, REVIEW AND STEREO TOOLS

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WEATHER GRAPHICS

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Oil and Gas

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Research: Higher Education and Supercomputing [COMPUTATIONAL CHEMISTRY AND BIOLOGY]

Bioinformatics

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Molecular Dynamics

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Quantum Chemistry

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Visualization and Docking

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NUMERICAL ANALYTICS

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PHYSICS

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SCIENTIFIC VISUALIZATION

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Safety & Security

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