NVIDIA quietly outs Tesla V100s with higher clocks

Published: 26th Nov 2019, 08:40 GMT | Comments

A new Tesla graphics card has been quietly added to the lineup.

NVIDIA Tesla V100s

NVIDIA Tesla are computing oriented devices equipped with graphics processors. What you won’t find on Tesla series are display connectors, as these cards cannot be used as daily desktop video cards – they are meant to be installed in clusters and supercomputers. Recently NVIDIA started to add more variants and call these cards ‘Tensor Core Processors’, as they not only offer CUDA cores but also Tensor cores.

The new Tesla V100s is a faster version of V100. It has a higher clock core frequency and also faster HBM2 memory. By default, the V100s has 32GB memory, which was only an option for the original V100 16GB. NVIDIA Tesla V100s still relies on Volta architecture with GV100 GPU and 5120 CUDA cores. That’s a 12nm GPU.

This is, in fact, a sixth variant of the V100, as the original series was offered in two memory configurations: 16GB and 32GB. The series is also divided into PCIe and SMX2 versions. The series also has a FHHL variant (full height & half-length) with a TDP of 150W, but information on this SKU is limited.

There is no word on pricing, but it is expected to cost thousands of dollars (the V100 non-S currently retails at around 5850 USD).

Tesla V100 Series
VideoCardz.comTesla V100
SMX2
Tesla V100
FHHL PCIe
Tesla V100
PCIe
Tesla V100s
PCIe
12nm FF GV10012nm FF GV10012nm FF GV10012nm FF GV100
CUDA Cores
 
5120
 
5120
 
5120
 
5120
Max FP32 Compute
 
15.7 TFLOPS
 
14.0 TFLOPS
 
14.0 TFLOPS
 
16.4 TFLOPS
Boost Clock
 
~1533 MHz
 
~1367 MHz
 
~1367 MHz
 
~1601 MHz
Max. Memory Bandwidth
 
900 GB/s
 
900 GB/s
 
900 GB/s
 
1134 GB/s
Memory Clock
 
1760 MHz
 
1760 MHz
 
1760 MHz
 
2214 MHz
Memory16GB / 32GB HBM216GB HBM216GB / 32GB HBM232GB HBM2
Memory Bus4096-bit4096-bit4096-bit4096-bit
TDP300W150W250W250W

Tesla V100 (PCIe – left and SMX2 – right)

 

Tesla V100 specs and FHHL variant

Source: NVIDIA, AnandTech, TechPowerUP


by WhyCry

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