gptkbp:instance_of
|
gptkb:Graphics_Processing_Unit
|
gptkbp:ai
|
gptkb:Yes
|
gptkbp:aienhancements
|
gptkb:Yes
|
gptkbp:aiinference_performance
|
gptkb:Yes
|
gptkbp:aitraining_performance
|
gptkb:Yes
|
gptkbp:architecture
|
gptkb:Pascal
|
gptkbp:clock_speed
|
500 MHz
1328 MHz
1480 MHz
|
gptkbp:compute_architecture
|
gptkb:NVIDIA_Pascal
|
gptkbp:direct_xsupport
|
gptkb:12
|
gptkbp:form_factor
|
gptkb:PCI_Express_3.0
Full-Height, Full-Length
|
gptkbp:gpu
|
gptkb:Yes
|
gptkbp:gpuarchitecture
|
gptkb:Moto_GP
|
gptkbp:has_ability
|
6.1
|
gptkbp:has_units
|
56
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA GP100
|
gptkbp:key_feature
|
High Performance, AI, Deep Learning
|
gptkbp:launch_event
|
GTC 2016
|
gptkbp:launch_price
|
$4,999
|
gptkbp:manufacturer
|
gptkb:NVIDIA
|
gptkbp:manufacturing_process
|
16 nm
|
gptkbp:market_segment
|
High-Performance Computing
|
gptkbp:max_display_connections
|
gptkb:4
|
gptkbp:max_gpuclock
|
1480 MHz
|
gptkbp:memory_type
|
gptkb:HBM2
4096-bit
|
gptkbp:network
|
gptkb:Yes
|
gptkbp:number_of_cores
|
gptkb:Yes
3584
|
gptkbp:open_glsupport
|
4.5
|
gptkbp:opened
|
1.2
|
gptkbp:pciexpress_version
|
gptkb:3.0
|
gptkbp:performance
|
gptkb:High
10.6 TFLOPS
5.3 TFLOPS
|
gptkbp:power_connector
|
8-pin and 6-pin
|
gptkbp:powers
|
250 W
|
gptkbp:professional_applications_support
|
gptkb:Yes
|
gptkbp:ram
|
16 GB
720 GB/s
|
gptkbp:release_date
|
gptkb:2016
|
gptkbp:released
|
gptkb:Tesla
|
gptkbp:resolution
|
7680 x 4320
|
gptkbp:slisupport
|
gptkb:Yes
|
gptkbp:stall_speed
|
gptkb:Yes
|
gptkbp:successor
|
gptkb:NVIDIA_A100
|
gptkbp:target_audience
|
Researchers and Scientists
|
gptkbp:target_market
|
gptkb:research_center
|
gptkbp:tdp
|
250 W
|
gptkbp:thermal_design_power
|
250 W
|
gptkbp:video_output
|
gptkb:Display_Port_1.4
|
gptkbp:virtualization_support
|
gptkb:Yes
|
gptkbp:vrready
|
gptkb:NVIDIA_Tesla
gptkb:Yes
|
gptkbp:bfsParent
|
gptkb:NVIDIA_Quadro_P_Series
|
gptkbp:bfsLayer
|
6
|