gptkbp:instance_of
|
gptkb:Software_Development
|
gptkbp:developed_by
|
gptkb:NVIDIA_Corporation
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA Deep Learning SDK
|
gptkbp:includes
|
gptkb:NVIDIA_DLA
gptkb:NVIDIA_Deep_Stream
gptkb:NVIDIA_Nsight
gptkb:Tensor_RT
gptkb:cu_DNN
gptkb:NVIDIA_RAPIDS
gptkb:NVIDIA_Tensor_Core_Technology
gptkb:NVIDIA_Clara
Sample Applications
|
gptkbp:is_compatible_with
|
gptkb:NVIDIA_GPUs
|
gptkbp:offers
|
Model Optimization Tools
|
gptkbp:provides
|
gptkb:Documentation
gptkb:Technical_Support
gptkb:Community_Support
Webinars
API Access
Benchmarking Tools
Sample Code
User Guides
GPU Acceleration
Pre-trained Models
Profiling Tools
Training Tools
Performance Libraries
Training Datasets
Inference Optimization
|
gptkbp:released_in
|
gptkb:2016
|
gptkbp:supports
|
gptkb:Tensor_Flow
gptkb:Computer_Vision
gptkb:Edge_Computing
gptkb:Natural_Language_Processing
gptkb:Federated_Learning
gptkb:stage_adaptation
gptkb:MXNet
gptkb:machine_learning
gptkb:Py_Torch
gptkb:NVIDIA_Jetson
gptkb:cloud_services
Data Augmentation
Open Source Projects
Data Parallelism
Model Deployment
Real-time Inference
Deep Learning Frameworks
Multi-GPU Training
Data Science Workflows
Mixed Precision Training
|
gptkbp:used_by
|
gptkb:researchers
Data Scientists
|
gptkbp:used_in
|
gptkb:Autonomous_Vehicles
gptkb:Artificial_Intelligence
gptkb:Telecommunications
gptkb:financial_services
gptkb:robotics
Manufacturing
Gaming Industry
Healthcare Applications
Smart Cities
|
gptkbp:bfsParent
|
gptkb:NVIDIA
|
gptkbp:bfsLayer
|
4
|