Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:developed_by |
gptkb:NVIDIA
|
| gptkbp:enables |
custom model training
real-time inference |
| gptkbp:facilitates |
rapid prototyping
|
| gptkbp:features |
easy-to-use interface
|
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA TAO Toolkit
|
| gptkbp:includes |
pre-built workflows
|
| gptkbp:integrates_with |
gptkb:NVIDIA_GPU
|
| gptkbp:is_available_for |
gptkb:Linux
gptkb:Docker gptkb:Windows |
| gptkbp:is_available_on |
gptkb:NVIDIA_NGC
|
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:Py_Torch cloud platforms |
| gptkbp:is_designed_for |
edge AI applications
|
| gptkbp:is_documented_in |
NVIDIA Developer Documentation
|
| gptkbp:is_optimized_for |
NVIDIA hardware
|
| gptkbp:is_part_of |
gptkb:NVIDIA_AI_Enterprise
gptkb:NVIDIA_AI_platform |
| gptkbp:is_promoted_by |
NVIDIA conferences
NVIDIA tutorials NVIDIA webinars NVIDIA blogs |
| gptkbp:is_supported_by |
NVIDIA community
|
| gptkbp:is_used_by |
data scientists
machine learning engineers |
| gptkbp:is_used_in |
gptkb:vehicles
industrial automation smart cities retail analytics healthcare applications |
| gptkbp:offers |
model optimization
model deployment capabilities customizable training pipelines |
| gptkbp:provides |
model evaluation tools
model versioning pre-trained models model compression techniques data augmentation tools |
| gptkbp:released_in |
gptkb:2020
|
| gptkbp:supports |
image classification
object detection deep learning models semantic segmentation multi-GPU training federated learning transfer learning from various domains |
| gptkbp:used_for |
transfer learning
|
| gptkbp:utilizes |
gptkb:NVIDIA_Tensor_RT
|
| gptkbp:bfsParent |
gptkb:NVIDIA
|
| gptkbp:bfsLayer |
4
|