Nvidia Tegra X2
E937807
Nvidia Tegra X2 is a high-performance system-on-chip by Nvidia that combines ARM CPU cores with Pascal-based GPU architecture, designed primarily for embedded, automotive, and edge AI applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nvidia Tegra X2 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11660311 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nvidia Tegra X2 Context triple: [Nvidia Tegra X1, successor, Nvidia Tegra X2]
-
A.
Nvidia Tegra X1
The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
-
B.
Nvidia Tegra 4
Nvidia Tegra 4 is a mobile system-on-chip by Nvidia that significantly improved performance and power efficiency for smartphones and tablets over its predecessor.
-
C.
Tegra
Tegra is Nvidia’s family of ARM-based system-on-a-chip processors designed primarily for mobile devices, tablets, and embedded platforms.
-
D.
Nvidia Tegra 3
Nvidia Tegra 3 is a quad-core ARM-based mobile system-on-chip designed by Nvidia for tablets and smartphones, known for integrating CPU, GPU, and memory controller to deliver improved performance and power efficiency.
-
E.
Nvidia Tegra 2
Nvidia Tegra 2 is a dual-core ARM-based system-on-chip by Nvidia that powered many early smartphones and tablets, marking one of the first widely adopted multi-core mobile processors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nvidia Tegra X2 Target entity description: Nvidia Tegra X2 is a high-performance system-on-chip by Nvidia that combines ARM CPU cores with Pascal-based GPU architecture, designed primarily for embedded, automotive, and edge AI applications.
-
A.
Nvidia Tegra X1
The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
-
B.
Nvidia Tegra 4
Nvidia Tegra 4 is a mobile system-on-chip by Nvidia that significantly improved performance and power efficiency for smartphones and tablets over its predecessor.
-
C.
Tegra
Tegra is Nvidia’s family of ARM-based system-on-a-chip processors designed primarily for mobile devices, tablets, and embedded platforms.
-
D.
Nvidia Tegra 3
Nvidia Tegra 3 is a quad-core ARM-based mobile system-on-chip designed by Nvidia for tablets and smartphones, known for integrating CPU, GPU, and memory controller to deliver improved performance and power efficiency.
-
E.
Nvidia Tegra 2
Nvidia Tegra 2 is a dual-core ARM-based system-on-chip by Nvidia that powered many early smartphones and tablets, marking one of the first widely adopted multi-core mobile processors.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
SoC
ⓘ
system-on-chip ⓘ |
| architecture | ARM NERFINISHED ⓘ |
| bigCoreCount | 2 ⓘ |
| bigCoreType | Nvidia Denver 2 NERFINISHED ⓘ |
| codename | Parker NERFINISHED ⓘ |
| CPUCoreCount | 6 ⓘ |
| CPUCoreType |
ARM Cortex-A57
NERFINISHED
ⓘ
Nvidia Denver 2 NERFINISHED ⓘ |
| developer | Nvidia NERFINISHED ⓘ |
| feature |
hardware-accelerated vision processing
ⓘ
heterogeneous multi-core CPU ⓘ integrated high-performance GPU ⓘ low-power operation for embedded use ⓘ |
| GPUArchitecture | Nvidia Pascal NERFINISHED ⓘ |
| GPUCoreCount | 256 ⓘ |
| GPUCoreType | Pascal CUDA cores ⓘ |
| GPUFamily | Nvidia Tegra NERFINISHED ⓘ |
| littleCoreCount | 4 ⓘ |
| littleCoreType | ARM Cortex-A57 NERFINISHED ⓘ |
| manufacturer | Nvidia NERFINISHED ⓘ |
| predecessor | Nvidia Tegra X1 NERFINISHED ⓘ |
| processNode | 16 nm FinFET ⓘ |
| segment |
automotive computing
ⓘ
edge computing ⓘ embedded AI computing ⓘ |
| supports |
4K video processing
ⓘ
64-bit computing ⓘ ARMv8-A instruction set NERFINISHED ⓘ CUDA NERFINISHED ⓘ Deep learning inference ⓘ FP16 compute ⓘ Gigabit Ethernet ⓘ H.265 hardware decoding ⓘ LPDDR4 memory ⓘ PCI Express NERFINISHED ⓘ USB 3.0 ⓘ |
| targetApplication |
automotive applications
ⓘ
edge AI applications ⓘ embedded systems ⓘ |
| thermalDesignPower | 15 W ⓘ |
| useCase |
advanced driver-assistance systems
ⓘ
autonomous driving platforms ⓘ embedded vision ⓘ industrial automation ⓘ robotics ⓘ |
| usedIn |
Nvidia Drive PX 2
NERFINISHED
ⓘ
Nvidia Jetson TX2 NERFINISHED ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Nvidia Tegra X2 Description of subject: Nvidia Tegra X2 is a high-performance system-on-chip by Nvidia that combines ARM CPU cores with Pascal-based GPU architecture, designed primarily for embedded, automotive, and edge AI applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.