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NVIDIA V100 Tensor Core GPU
URI:
https://gptkb.org/entity/NVIDIA_V100_Tensor_Core_GPU
GPTKB entity
Statements (55)
Predicate
Object
gptkbp:instance_of
gptkb:Graphics_Processing_Unit
gptkbp:api
gptkb:Open_GL
gptkb:Vulkan
gptkb:Direct_Compute
gptkb:Open_ACC
gptkb:Open_CL
gptkbp:architecture
Volta
gptkbp:die_size
815 mm²
gptkbp:ecc
gptkb:Yes
gptkbp:form_factor
gptkb:PCIe
SXM2
gptkbp:gpu
gptkb:NVIDIA_Tesla
gptkb:Yes
gptkbp:gpu_code_name
Volta
gptkbp:has_ability
7.0
https://www.w3.org/2000/01/rdf-schema#label
NVIDIA V100 Tensor Core GPU
gptkbp:is_a_framework_for
gptkb:Tensor_Flow
gptkb:Keras
gptkb:Caffe
gptkb:DL4_J
gptkb:CNTK
gptkb:Chainer
gptkb:MXNet
gptkb:Paddle_Paddle
gptkb:Py_Torch
gptkb:Theano
gptkbp:manufacturer
gptkb:NVIDIA
gptkbp:manufacturing_process
12 nm
gptkbp:memory_type
4096-bit
gptkbp:network
gptkb:Yes
gptkbp:number_of_cores
640
5120
gptkbp:performance
125 TFLOPS
15.7 TFLOPS
gptkbp:powers
300 W
gptkbp:ram
16 GB HBM2
900 GB/s
gptkbp:release_date
gptkb:2017
gptkbp:release_year
gptkb:2017
gptkbp:successor
gptkb:NVIDIA_A100_Tensor_Core_GPU
gptkbp:support
gptkb:NVIDIA_CUDA
gptkb:NVIDIA_Tensor_RT
gptkb:NVIDIA_cu_DNN
gptkb:NVIDIA_NCCL
gptkbp:target_market
Data Centers
gptkbp:tdp
300 W
gptkbp:transistor_count
21 billion
gptkbp:use_case
gptkb:AI_Research
gptkb:Deep_Learning
High-Performance Computing
Scientific Computing
gptkbp:virtualization_support
gptkb:NVIDIA_v_GPU
gptkbp:vram_type
gptkb:HBM2
gptkbp:bfsParent
gptkb:NVIDIA
gptkbp:bfsLayer
4