Statements (83)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:computer
|
| gptkbp:acceleration |
AI inference
|
| gptkbp:are_key_for |
data analytics
predictive analytics machine learning tasks AI-driven applications |
| gptkbp:are_part_of |
gptkb:NVIDIA_RTX_A6000
gptkb:NVIDIA_Titan_GPUs gptkb:NVIDIA_DGX_systems gptkb:NVIDIA_Ampere_architecture gptkb:NVIDIA_H100_GPU gptkb:NVIDIA_RTX_3090 gptkb:NVIDIA |
| gptkbp:available_in |
gptkb:NVIDIA_RTX_series
|
| gptkbp:benefits |
software optimizations
|
| gptkbp:can_be_used_for |
inference tasks
|
| gptkbp:designed_by |
gptkb:NVIDIA
|
| gptkbp:enables |
high-performance computing
real-time analytics real-time rendering faster data processing large-scale AI models faster training of neural networks faster data analysis faster model inference faster simulations |
| gptkbp:enhances |
natural language processing
video processing computational efficiency graphics rendering AI workloads augmented reality applications data science workflows computer vision tasks |
| https://www.w3.org/2000/01/rdf-schema#label |
Tensor Cores
|
| gptkbp:improves |
energy efficiency
matrix multiplication performance |
| gptkbp:introduced_in |
gptkb:Volta_architecture
|
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:Keras gptkb:Py_Torch gptkb:Oni |
| gptkbp:is_critical_for |
gptkb:cloud_computing
big data processing AI model training real-time AI applications |
| gptkbp:is_designed_to |
parallel processing
high-throughput workloads |
| gptkbp:is_found_in |
gptkb:NVIDIA_A100_GPU
|
| gptkbp:is_integrated_with |
gptkb:Turing_architecture
gptkb:NVIDIA_Quadro_series gptkb:NVIDIA_A40_GPU gptkb:NVIDIA_Ge_Force_RTX_30_series gptkb:NVIDIA_Ge_Force_GTX_series gptkb:NVIDIA_Ge_Force_RTX_20_series |
| gptkbp:is_optimized_for |
deep learning
AI training |
| gptkbp:is_used_for |
image processing
signal processing virtual reality applications 3 D rendering |
| gptkbp:is_used_in |
gptkb:vehicles
gptkb:robotics data centers healthcare applications |
| gptkbp:is_utilized_in |
financial modeling
scientific computing smart cities |
| gptkbp:provides |
higher throughput
|
| gptkbp:support |
gptkb:AI_technology
edge computing AI model deployment neural network training deep reinforcement learning FP16 precision AI model optimization high-performance AI applications mixed precision calculations |
| gptkbp:used_in |
GPUs
|
| gptkbp:works_with |
CUDA programming model
|
| gptkbp:bfsParent |
gptkb:CUDA
gptkb:NVIDIA |
| gptkbp:bfsLayer |
4
|