|
gptkbp:instance_of
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:ai
|
gptkb:Tensor_Flow
gptkb:Caffe
gptkb:Py_Torch
gptkb:Yes
|
|
gptkbp:aiinference
|
Optimized
|
|
gptkbp:aitraining
|
Optimized
|
|
gptkbp:application
|
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
gptkb:machine_learning
gptkb:Data_Analytics
Scientific Computing
High Performance Computing
|
|
gptkbp:architecture
|
Volta
|
|
gptkbp:ecc
|
gptkb:Yes
|
|
gptkbp:form_factor
|
gptkb:PCIe
SXM2
|
|
gptkbp:gpuarchitecture
|
Volta
|
|
gptkbp:has_ability
|
7.0
|
|
gptkbp:has_units
|
80
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
V100 Tensor Core GPU
|
|
gptkbp:manufacturer
|
gptkb:NVIDIA
|
|
gptkbp:manufacturing_process
|
12 nm
|
|
gptkbp:memory_type
|
gptkb:HBM2
|
|
gptkbp:network
|
gptkb:Yes
|
|
gptkbp:number_of_cores
|
gptkb:Yes
640
5120
|
|
gptkbp:nvswitch
|
Supported
|
|
gptkbp:performance
|
125 TFLOPS
15.7 TFLOPS
7.8 TFLOPS
|
|
gptkbp:powers
|
300 W
|
|
gptkbp:predecessor
|
P100 Tensor Core GPU
|
|
gptkbp:price
|
$8,999
|
|
gptkbp:ram
|
16 GB HBM2
32 GB HBM2
900 GB/s
|
|
gptkbp:release_date
|
gptkb:2017
|
|
gptkbp:release_year
|
gptkb:2017
|
|
gptkbp:successor
|
gptkb:A100_Tensor_Core_GPU
|
|
gptkbp:support_for_direct_x
|
gptkb:Yes
|
|
gptkbp:support_for_open_cl
|
gptkb:Yes
|
|
gptkbp:support_for_vulkan
|
gptkb:Yes
|
|
gptkbp:target_market
|
Data Centers
|
|
gptkbp:tdp
|
300 W
|
|
gptkbp:thermal_design_power
|
300 W
|
|
gptkbp:transistor_count
|
21.1 billion
|
|
gptkbp:virtualization_support
|
gptkb:Yes
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA
|
|
gptkbp:bfsLayer
|
4
|