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gptkbp:instance_of
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gptkb:architecture
|
|
gptkbp:architecture
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gptkb:NVIDIA
|
|
gptkbp:designed_for
|
AI and deep learning
|
|
gptkbp:developed_by
|
gptkb:NVIDIA
|
|
gptkbp:enables
|
real-time ray tracing
|
|
gptkbp:features
|
gptkb:NVLink
gptkb:Tensor_Cores
HBM2 memory
|
|
https://www.w3.org/2000/01/rdf-schema#label
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NVIDIA Volta architecture
|
|
gptkbp:includes
|
gptkb:Volta_GPU
|
|
gptkbp:introduced_in
|
GTC 2017
|
|
gptkbp:is_based_on
|
NVIDIA's unified memory architecture
|
|
gptkbp:is_compatible_with
|
gptkb:NVIDIA_DGX_systems
|
|
gptkbp:is_optimized_for
|
machine learning workloads
|
|
gptkbp:is_part_of
|
gptkb:NVIDIA_GPU_family
|
|
gptkbp:is_used_in
|
data centers
|
|
gptkbp:is_utilized_in
|
gptkb:virtual_reality
gptkb:vehicles
gptkb:cloud_computing
gptkb:simulation
gptkb:robotics
image processing
data analysis
computer vision
financial modeling
gaming
image recognition
natural language processing
predictive analytics
scientific computing
smart cities
energy management
speech recognition
big data analytics
facial recognition
healthcare analytics
deep reinforcement learning
3 D rendering
|
|
gptkbp:manufacturer
|
12nm process technology
|
|
gptkbp:performance
|
gptkb:NVIDIA_Pascal_architecture
|
|
gptkbp:predecessor
|
gptkb:NVIDIA_Pascal_architecture
|
|
gptkbp:provides
|
high performance computing
graphics rendering
deep learning capabilities
|
|
gptkbp:released_in
|
gptkb:2017
|
|
gptkbp:successor
|
gptkb:NVIDIA_Turing_architecture
|
|
gptkbp:supports
|
gptkb:CUDA
gptkb:Open_CL
multi-GPU configurations
AI inference
|
|
gptkbp:used_in
|
gptkb:NVIDIA_Tesla_V100
gptkb:NVIDIA_Titan_V
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_cu_DNN
gptkb:NVLink
gptkb:cu_DNN
gptkb:NVIDIA_cu_BLAS
|
|
gptkbp:bfsLayer
|
5
|