|
gptkbp:instanceOf
|
hardware component
processing unit
|
|
gptkbp:architecture
|
gptkb:Volta
gptkb:Hopper
gptkb:Ampere
gptkb:Turing
|
|
gptkbp:developedBy
|
gptkb:NVIDIA
|
|
gptkbp:enables
|
energy efficiency in AI workloads
faster inference of neural networks
faster training of neural networks
high throughput computing
|
|
gptkbp:features
|
gptkb:NVIDIA_GPU_architectures
|
|
gptkbp:foundIn
|
gptkb:NVIDIA_A100
gptkb:NVIDIA_Tesla_V100
gptkb:NVIDIA_GPUs
gptkb:NVIDIA_H100
gptkb:NVIDIA_RTX_series
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Tensor cores
|
|
gptkbp:introducedIn
|
gptkb:NVIDIA_Volta_architecture
2017
|
|
gptkbp:marketedAs
|
AI acceleration
|
|
gptkbp:optimizedFor
|
matrix multiplication
convolution operations
|
|
gptkbp:purpose
|
accelerate matrix operations
|
|
gptkbp:relatedTo
|
RT cores
CUDA cores
|
|
gptkbp:supports
|
BF16
FP16
INT8
FP32 accumulation
mixed-precision computation
|
|
gptkbp:usedBy
|
gptkb:TensorFlow
gptkb:cuDNN
gptkb:PyTorch
data scientists
AI researchers
cloud computing providers
|
|
gptkbp:usedIn
|
gptkb:artificial_intelligence
deep learning
scientific computing
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_RTX
gptkb:NVIDIA_GPUs
gptkb:NVIDIA_RTX_30_series
gptkb:NVIDIA_GeForce_RTX_30_series
gptkb:RTX_series
|
|
gptkbp:bfsLayer
|
6
|