PNY TCSV100M-32GB-PB User Manual

NVIDIA TESLA V100
1.5X HPC
Perf
orman
c
e in One
Y
ear
CPU System
:
2X Xeon E5-2690v4 @ 2.6GHz
on pre-production hardware
cuFFT
Seismic(RTM)Physics(QUDA)STREAM
0
1.0
X
2.0
X
r
f
rce
omz
t
o P0
0
| GPU System: NVIDIA®Tesla®P100 or V10
0 | V100 measured
8X V10
0
8X P10
0
8X K80
44 Hours
18 Hours
7.4 Hour
s
Deep Learning
Training
in One Workday
Time to Soluti
on in Hour
s
- Lower i
s Bette
r
40502030100
Server Cong: Dual Xeon E5-2699 v4, 2.6GHz |
8x Tesla K80, Tesla P100 or Tesla V100 | V100
performance measured on pre-production
hardware. | ResNet-50 Training on Microsoft
Cognitive Toolkit for 90 Epoc
hs with 1.28M
ImageNet dataset
Workload: ResNet-5
0 | CPU: 2X Xeon E5-2690v
4 @ 2.6GHz | GPU: add 1
X
NVIDI
A®Tesla
®
P100 or V100 at 150
W | V100 measured on pre-production hardware
.
Tesla V100
Tesla P1002X CP
U
0
20X40X10X30
X
Performanc
e Normalized to CPU
30x Higher Th
r
oughput than CPU
Server on Deep Learning In
ferenc
e
GPU ACCELERATOR
The Most Advanced Data Center GPU Ever Built.
NVIDIA® Tesla® V100 is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta™, the latest GPU architecture, Tesla V100 offers the performance of up to 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once thought impossible.
SPECIFICATIONS
Part Number TCSV100MPCIE-PB
EAN 16GB: 3536403359041
GPU Architecture NVIDIA Volta
GPU Memory 16GB / 32GB HMB2
NVIDIA Tensor Cores 640
NVIDIA CUDA® Cores 5,120
Double-Precision Performance
Single-Precision Performance
Tensor Performance 112 TFLOPS
GPU Memory 16 GB HBM2
Memory Bandwidth 900 GB/sec
ECC Yes
System Interface PCIe Gen3
Form Factor PCIe Full Height
Max Power Comsumption
Thermal Solution Passive
Compute APIs CUDA, DirectCompute,
TCSV100M-32GB-PB
32GB: 3536403363710
7 TFLOPS
14 TFLOPS
250 W
OpenCL™, OpenACC
GROUNDBREAKING INNOVATIONS
VOLTA ARCHITECTURE
By pairing CUDA Cores and Tensor Cores within a unified architecture, a single server with Tesla V100 GPUs can replace hundreds of commodity CPU servers for traditional HPC and Deep Learning.
MAXIMUM EFFICIENCY MODE
The new maximum efficiency mode allows data centers to achieve up to 40% higher compute capacity per rack within the existing power budget. In this mode, Tesla V100 runs at peak processing efficiency, providing up to 80% of the performance at half the power consumption.
TENSOR CORE
Equipped with 640 Tensor Cores, Tesla V100 delivers 120 TeraFLOPS of deep learning performance. That’s 12X Tensor FLOPS for DL Training, and 6X Tensor FLOPS for DL Inference when compared to NVIDIA Pascal™ GPUs.
HBM2
With a combination of improved raw bandwidth of 900 GB/s and higher DRAM utilization efficiency at 95%, Tesla V100 delivers 1.5X higher memory bandwidth over Pascal GPUs as measured on STREAM.
NEXT GENERATION NVLINK
NVIDIA NVLink in Tesla V100 delivers 2X higher throughput compared to the previous generation. Up to eight Tesla V100 accelerators can be interconnected at up to 300 GB/s to unleash the highest application performance possible on a single server.
PROGRAMMABILITY
Tesla V100 is architected from the ground up to
C
simplify programmability. Its new independent thread scheduling enables finer-grain synchronization and improves GPU utilization by sharing resources among small jobs.
Tesla V100 is the flagship product of Tesla data center computing platform for deep learning, HPC, and graphics. The Tesla platform accelerates over 450 HPC applications and every major deep learning framework. It is available everywhere from desktops to servers to cloud services, delivering both dramatic performance gains and cost savings opportunities.
© 2017 NVIDIA Corporation and PNY. All rights reserved. NVIDIA, the NVIDIA logo, Quadro, nView, CUDA, NVIDIA Pascal, and 3D Vision are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. e PNY logotype is a registered trademark of PNY Technologies. OpenCL is a trademark of Apple Inc. used under license to the Khronos Group Inc. All other trademarks and copyrights are the property of their respective owners.
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