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Guru3D.com » News » Nvidia Announces PCIe version Tesla P100

Nvidia Announces PCIe version Tesla P100

by Hilbert Hagedoorn on: 06/20/2016 01:01 PM | source: | 22 comment(s)
Nvidia Announces PCIe version Tesla P100

Nvidia released the PCI-Express version of the P100 in the form of the Tesla P100. The hpc-card was revealed back in April already however was based on a Mezzanine-connector.

Nvidia is to release two versions of the PCI-Express models with 16GB HBM2 memory, and one with 12 GB HBMs (one stack disabled). The cards can communicate over the NVLINk interconnect with each other. The cards will get a slightly lower boost frequency compared to the Mezzanine NVLINK version, the TDP is lower as well at 250 Watt.
 

Nvidia Tesla
  Tesla P100
(Mezzanine)
Tesla P100
(16GB)
Tesla P100
(12GB)
Tesla M40
Gpu GP100
(610mm2)
GP100
(610mm2)
GP100
(610mm2)
GM200
Architecture Pascal Pascal Pascal Maxwell 2
Core 1328MHz - - 948MHz
Streamp processors 3584 3584 3584 3072
Boost 1480MHz 1300MHz 1300MHz 1114MHz
Mem. 1,4Gbit/s HBM2 1,4Gbit/s HBM2 1,4Gbit/s HBM2 6Gbit/s gddr5
Mem bus 4096-bit 4096-bit 3072-bit 384-bit
Mem bandwidth 720GB/sec 720GB/sec 540GB/sec 288GB/sec
Mem MGB 16GB 16GB 12GB 12GB
Half Precision 21,2 tflops 18,7 tflops 18,7 tflops 6,8 tflops
Single Precision 10,6 tflops 9,3 tflops 9,3 tflops 6,8 tflops
Double Precision 5,3 tflops
(1/2 rate)
4,7 tflops
(1/2 rate)
4,7 tflops
(1/2 rate)
213 gflops
(1/32 rate)
Transistors 15,3 Billion 15,3 Billion 15,3 Billion 8 Billion
Tdp 300W 250W 250W 250W
Formfactor Mezzanine pci-e pci-e pci-e
Cooler N/A passive passive passive
Fab tsmc 16nm finfet tsmc 16nm finfet tsmc 16nm finfet tsmc 28nm

The 12GB version thus will have a 3072 bits wide memory bus, the 16GB version has the full 4096 bit wide memory bus. These cards are intended for high performance computing of course. 



Nvidia Announces PCIe version Tesla P100 Nvidia Announces PCIe version Tesla P100 Nvidia Announces PCIe version Tesla P100 Nvidia Announces PCIe version Tesla P100




« XFX Radeon RX 480 Production Line Photos · Nvidia Announces PCIe version Tesla P100 · Samsung 1TB NVMe M.2 SSD: SM961 Ships Next week »

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harkinsteven
Senior Member



Posts: 2927
Joined: 2008-11-29

#5292644 Posted on: 06/20/2016 01:11 PM
Check spelling^

Denial
Senior Member



Posts: 13235
Joined: 2004-05-16

#5292647 Posted on: 06/20/2016 01:23 PM
I wish they had a vendor list of companies that are buying this, for my own curiosity. I know Google has their own Tensor Processing Unit which they claim is the best in the industry for deep learning. I wonder how these stack up.

Cave Waverider
Senior Member



Posts: 1057
Joined: 2010-07-25

#5292661 Posted on: 06/20/2016 02:14 PM
I assume we could see something similar as the PCIe versions for the Geforce Ti and Titan Pascal variants, respectively.

BD2015
Member



Posts: 48
Joined: 2015-08-08

#5292662 Posted on: 06/20/2016 02:21 PM
I assume we could see something similar for the Geforce Ti and Titan Pascal variants, respectively.


Exactly what I hope for and can't wait to.

schmidtbag
Senior Member



Posts: 5640
Joined: 2012-11-10

#5292671 Posted on: 06/20/2016 02:45 PM
I wish they had a vendor list of companies that are buying this, for my own curiosity. I know Google has their own Tensor Processing Unit which they claim is the best in the industry for deep learning. I wonder how these stack up.

I'm not sure I understand. Teslas are as similar to TPUs as they are to CPUs. Teslas are meant for high-precision highly-parallel number crunching. The TPUs, to my knowledge, are meant for rapid approximations.

In the server world, you buy what does your workload fastest, and that's why architectures like PPC, SPARC, and AMD's Bulldozer are still relevant. Intel is really the only company that has any interest in general-purpose servers.

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