Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:architecture
|
| gptkbp:aims_to |
real-time AI training
|
| gptkbp:aims_to_improve |
autonomous driving capabilities
|
| gptkbp:built |
advanced hardware architecture
|
| gptkbp:can_transform_into |
AI development processes
|
| gptkbp:competes_with |
gptkb:NVIDIA_DGX_systems
|
| gptkbp:designed_by |
gptkb:Tesla,_Inc.
|
| gptkbp:developed_by |
gptkb:vehicles
Tesla AI team |
| gptkbp:enables |
new AI features
faster deployment of AI models |
| gptkbp:enhances |
data security measures
user experience machine learning capabilities data analysis speed AI model accuracy predictive analytics capabilities |
| gptkbp:facilitates |
collaborative AI research
faster model iterations |
| gptkbp:features |
high-performance computing
|
| https://www.w3.org/2000/01/rdf-schema#label |
Tesla's Dojo architecture
|
| gptkbp:include |
real-time feedback
robust AI solutions |
| gptkbp:includes |
Dojo training supercomputer
|
| gptkbp:increased |
computational power
|
| gptkbp:integrates_with |
gptkb:Tesla_vehicles
|
| gptkbp:is_based_on |
tensor processing units
|
| gptkbp:is_compatible_with |
existing Tesla software
|
| gptkbp:is_designed_for |
high throughput
|
| gptkbp:is_designed_to |
handle complex computations
|
| gptkbp:is_expected_to |
innovation in AI technology
reduce training time |
| gptkbp:is_focused_on |
AI training efficiency
|
| gptkbp:is_integrated_with |
Tesla's software stack
|
| gptkbp:is_located_in |
gptkb:Texas
|
| gptkbp:is_optimized_for |
video data processing
|
| gptkbp:is_part_of |
Tesla's AI strategy
Tesla's long-term vision Tesla's innovation ecosystem Tesla's AI research initiatives |
| gptkbp:is_scalable |
large datasets
|
| gptkbp:is_targeted_at |
AI researchers
|
| gptkbp:is_utilized_for |
data processing tasks
|
| gptkbp:provides |
massive parallel processing
|
| gptkbp:purpose |
training AI models
|
| gptkbp:reduces |
energy consumption
operational costs |
| gptkbp:released_in |
gptkb:2021
|
| gptkbp:support |
future AI applications
AI-driven decision making edge computing applications cloud-based AI services AI model deployment. multi-modal AI training |
| gptkbp:supports |
deep learning
|
| gptkbp:uses |
gptkb:neural_networks
|
| gptkbp:utilizes |
custom silicon
|
| gptkbp:bfsParent |
gptkb:Dojo_supercomputer
|
| gptkbp:bfsLayer |
5
|