|
gptkbp:instance_of
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:application
|
gptkb:Autonomous_Vehicles
gptkb:virtual_reality
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
gptkb:cloud_computing
gptkb:machine_learning
gptkb:simulation
gptkb:Data_Analytics
gptkb:robotics
Weather Forecasting
Medical Imaging
Rendering
Scientific Computing
Financial Modeling
Big Data Processing
|
|
gptkbp:architecture
|
gptkb:Pascal
|
|
gptkbp:clock_speed
|
700 MHz
|
|
gptkbp:die_size
|
610 mm²
|
|
gptkbp:form_factor
|
gptkb:PCI_Express_3.0
gptkb:PCIe
Full-height, Full-length
|
|
gptkbp:has_ability
|
6.0
|
|
gptkbp:has_units
|
56
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA Tesla P100
|
|
gptkbp:is_compatible_with
|
gptkb:Open_GL
gptkb:NVIDIA_CUDA
gptkb:Direct_X
gptkb:Open_CL
|
|
gptkbp:launch_event
|
GTC 2016
|
|
gptkbp:manufacturer
|
gptkb:NVIDIA
|
|
gptkbp:market_segment
|
AI and Machine Learning
|
|
gptkbp:memory_type
|
gptkb:HBM2
|
|
gptkbp:number_of_cores
|
3584
|
|
gptkbp:performance
|
10.6 TFLOPS
5.3 TFLOPS
|
|
gptkbp:power_connector
|
8-pin and 6-pin
|
|
gptkbp:powers
|
300 W
|
|
gptkbp:ram
|
16 GB HBM2
732 GB/s
|
|
gptkbp:release_date
|
April 2016
|
|
gptkbp:release_notes
|
GTC 2016 Keynote
|
|
gptkbp:slisupport
|
gptkb:Yes
|
|
gptkbp:stall_speed
|
1328 MHz
|
|
gptkbp:successor
|
gptkb:NVIDIA_Tesla_V100
|
|
gptkbp:supports
|
gptkb:NVIDIA_NVLink
|
|
gptkbp:target_market
|
Data Centers
|
|
gptkbp:tdp
|
300 W
|
|
gptkbp:transistor_count
|
15.3 billion
|
|
gptkbp:used_in
|
gptkb:Deep_Learning
High-Performance Computing
|
|
gptkbp:virtualization_support
|
gptkb:Yes
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_Tesla
|
|
gptkbp:bfsLayer
|
5
|