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gptkbp:instance_of
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:architecture
|
gptkb:Pascal
|
|
gptkbp:die_size
|
610 mm²
|
|
gptkbp:form_factor
|
gptkb:PCIe
Half-Height, Half-Length
|
|
gptkbp:has_ability
|
6.0
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA P100
|
|
gptkbp:is_compatible_with
|
gptkb:NVIDIA_DGX-1
gptkb:NVIDIA_Tesla
gptkb:NVIDIA_Quadro
|
|
gptkbp:launch_event
|
GTC 2016
|
|
gptkbp:manufacturer
|
gptkb:NVIDIA
|
|
gptkbp:market_segment
|
Professional Visualization
|
|
gptkbp:number_of_cores
|
3584
|
|
gptkbp:performance
|
gptkb:DNA
gptkb:virtual_reality
gptkb:Natural_Language_Processing
gptkb:Graphics_Processing_Unit
gptkb:cloud_computing
gptkb:machine_learning
gptkb:Data_Analytics
gptkb:robotics
Bioinformatics
Computational Fluid Dynamics
Image Processing
Scientific Simulations
Signal Processing
Weather Forecasting
Rendering
Financial Modeling
Big Data Processing
High-Throughput Computing
Machine Vision
AI Inference
10.6 TFLOPS
5.3 TFLOPS
Deep Learning Training
|
|
gptkbp:power_connector
|
8-pin and 6-pin
|
|
gptkbp:ram
|
16 GB HBM2
732 GB/s
|
|
gptkbp:release_date
|
April 2016
|
|
gptkbp:resolution
|
7680 x 4320
|
|
gptkbp:successor
|
gptkb:NVIDIA_V100
|
|
gptkbp:supports
|
gptkb:Open_GL
gptkb:NVIDIA_NVLink
gptkb:Tensor_Cores
gptkb:Direct_X
gptkb:CUDA
gptkb:Open_CL
|
|
gptkbp:target_market
|
gptkb:research_center
|
|
gptkbp:tdp
|
300 W
|
|
gptkbp:transistor_count
|
15.3 billion
|
|
gptkbp:used_in
|
gptkb:Deep_Learning
High-Performance Computing
|
|
gptkbp:uses
|
HBM2 Memory
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_Corporation
gptkb:CUDA
gptkb:NVIDIA
|
|
gptkbp:bfsLayer
|
4
|