|
gptkbp:instance_of
|
gptkb:architecture
|
|
gptkbp:architectural_style
|
modular
|
|
gptkbp:designed_by
|
gptkb:NVIDIA
|
|
gptkbp:developed_by
|
gptkb:NVIDIA_Deep_Learning
high-performance computing
AI inference
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVDLA
|
|
gptkbp:is_a_framework_for
|
gptkb:Tensor_Flow
gptkb:Caffe
gptkb:Py_Torch
|
|
gptkbp:is_available_on
|
gptkb:Git_Hub
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_RT
gptkb:NVIDIA_GPUs
NVIDIA software tools
NVIDIA AI software stack
|
|
gptkbp:is_designed_for
|
machine learning applications
real-time processing
edge devices
|
|
gptkbp:is_documented_in
|
NVDLA Git Hub repository
NVDLA documentation
NVDLA white papers
|
|
gptkbp:is_integrated_with
|
gptkb:CUDA
So Cs
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_optimized_for
|
gptkb:cloud_computing
energy efficiency
low latency
low power consumption
|
|
gptkbp:is_part_of
|
gptkb:NVIDIA_Jetson_platform
NVIDIA's AI ecosystem
NVIDIA's AI strategy
NVIDIA's hardware portfolio
NVIDIA's AI research projects
NVIDIA's product offerings
NVIDIA's AI hardware solutions
NVIDIA's open-source initiatives
|
|
gptkbp:is_scalable
|
multiple cores
|
|
gptkbp:is_supported_by
|
NVIDIA SDKs
NVIDIA's technical support
NVIDIA developer community
|
|
gptkbp:is_targeted_at
|
automotive applications
data centers
AI researchers
|
|
gptkbp:is_used_by
|
gptkb:robotics
|
|
gptkbp:is_used_in
|
gptkb:Io_T_devices
gptkb:drones
gptkb:smart_home_devices
smart cities
surveillance systems
retail analytics
healthcare applications
smart cameras
automated driving systems
|
|
gptkbp:is_utilized_in
|
gptkb:virtual_reality
gptkb:Telecommunications
gptkb:financial_services
augmented reality
computer vision
energy management systems
|
|
gptkbp:performance
|
high throughput
|
|
gptkbp:provides
|
inference acceleration
|
|
gptkbp:released_in
|
gptkb:2017
|
|
gptkbp:supports
|
gptkb:neural_networks
|
|
gptkbp:used_in
|
deep learning
|
|
gptkbp:bfsParent
|
gptkb:Tegra_Xavier
|
|
gptkbp:bfsLayer
|
6
|