Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:automobile
|
| gptkbp:bfsLayer |
7
|
| gptkbp:bfsParent |
gptkb:NVIDIA_Drive_PX_2
|
| gptkbp:based_on |
NVIDIAGPU architecture
|
| gptkbp:developed_by |
gptkb:DJ
smart cities |
| gptkbp:enables |
real-time processing
advanced driver assistance systems |
| gptkbp:features |
AI computing capabilities
|
| gptkbp:focuses_on |
safety and reliability
|
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA's Drive AGX family
|
| gptkbp:includes |
Drive AGX Orin
Drive AGX Pegasus Drive AGX Xavier |
| gptkbp:integrates_with |
gptkb:NVIDIA_Jetson
|
| gptkbp:is_aimed_at |
OE Ms
|
| gptkbp:is_capable_of |
multi-modal perception
|
| gptkbp:is_compatible_with |
various operating systems
NVIDIA's AI frameworks NVIDIACUDA |
| gptkbp:is_designed_for |
gptkb:robot
high-performance applications level 4 and level 5 autonomy |
| gptkbp:is_designed_to |
reduce development time
|
| gptkbp:is_equipped_with |
high-performance GP Us
|
| gptkbp:is_integrated_with |
gptkb:Cloud_Computing_Service
machine learning algorithms |
| gptkbp:is_optimized_for |
energy efficiency
AI workloads |
| gptkbp:is_part_of |
gptkb:NVIDIA_Drive_platform
NVIDIA's AI ecosystem NVIDIA's hardware portfolio NVIDIA's autonomous driving strategy NVIDIA's innovation in AI |
| gptkbp:is_scalable |
various vehicle types
|
| gptkbp:is_supported_by |
NVIDIA software stack
NVIDIA's developer tools |
| gptkbp:is_tested_for |
real-world data
|
| gptkbp:is_used_by |
automakers
|
| gptkbp:is_used_for |
data analytics
|
| gptkbp:is_used_in |
public transportation systems
ADAS systems |
| gptkbp:is_utilized_in |
transportation solutions
fleet management solutions logistics and delivery systems |
| gptkbp:offers |
high-performance computing
|
| gptkbp:provides |
machine learning capabilities
sensor fusion high bandwidth connectivity |
| gptkbp:supports |
deep learning
multiple sensors robotic applications V2 X communication |
| gptkbp:used_in |
gptkb:engine
|