Nvidia Tegra X1
E277101
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.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Nvidia Tegra X1 canonical | 3 |
| NVIDIA Tegra X1 integrated GPU | 1 |
| NVIDIA Tegra X1 system-on-chip | 1 |
| Nvidia Tegra X1+ (2019 models) | 1 |
| Tegra X1 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2557185 — 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 X1 Context triple: [Nintendo Switch, cpu, Nvidia Tegra X1]
-
A.
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.
-
B.
Snapdragon system-on-chip
The Snapdragon system-on-chip is a family of mobile processors widely used in smartphones and other devices, integrating CPU, GPU, modem, and other components to deliver high performance and power efficiency.
-
C.
Pixelworks
Pixelworks is a semiconductor company known for designing and marketing video and display processing solutions for consumer electronics and digital projection devices.
-
D.
NVIDIA Jetson embedded modules
NVIDIA Jetson embedded modules are compact, power-efficient computing platforms designed for edge AI and robotics applications, integrating GPU-accelerated processing for tasks like computer vision and deep learning.
-
E.
NVIDIA DRIVE
NVIDIA DRIVE is NVIDIA’s automotive computing platform designed to power advanced driver-assistance systems and autonomous driving capabilities in vehicles.
- 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 X1 Target entity description: 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.
-
A.
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.
-
B.
Snapdragon system-on-chip
The Snapdragon system-on-chip is a family of mobile processors widely used in smartphones and other devices, integrating CPU, GPU, modem, and other components to deliver high performance and power efficiency.
-
C.
Pixelworks
Pixelworks is a semiconductor company known for designing and marketing video and display processing solutions for consumer electronics and digital projection devices.
-
D.
NVIDIA Jetson embedded modules
NVIDIA Jetson embedded modules are compact, power-efficient computing platforms designed for edge AI and robotics applications, integrating GPU-accelerated processing for tasks like computer vision and deep learning.
-
E.
NVIDIA DRIVE
NVIDIA DRIVE is NVIDIA’s automotive computing platform designed to power advanced driver-assistance systems and autonomous driving capabilities in vehicles.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
mobile system-on-chip
ⓘ
system-on-chip ⓘ |
| announcedAt |
Consumer Electronics Show
ⓘ
surface form:
CES 2015
|
| announcementDate | January 2015 ⓘ |
| bigCoreCount | 4 ⓘ |
| codename | Erista ⓘ |
| CPUArchitecture | ARM ⓘ |
| CPUBigLittleConfiguration | big.LITTLE ⓘ |
| CPUCoreCount | 8 ⓘ |
| CPUCoreType |
ARM Cortex-A
ⓘ
surface form:
ARM Cortex-A53
ARM Cortex-A ⓘ
surface form:
ARM Cortex-A57
|
| developer |
NVIDIA Corporation
ⓘ
surface form:
Nvidia
|
| fabricationProcess | TSMC 20 nm ⓘ |
| GPUArchitecture | Maxwell ⓘ |
| GPUCoreCount | 256 CUDA cores ⓘ |
| littleCoreCount | 4 ⓘ |
| manufacturer |
NVIDIA Corporation
ⓘ
surface form:
Nvidia
|
| marketedAs |
Nvidia Tegra X1
self-linksurface differs
ⓘ
surface form:
Tegra X1
|
| maxMemoryBandwidth | 25.6 GB/s ⓘ |
| memoryTypeSupport | LPDDR4 ⓘ |
| notableUse |
Nintendo Switch
ⓘ
NVIDIA DRIVE ⓘ
surface form:
Nvidia Drive CX
NVIDIA DRIVE ⓘ
surface form:
Nvidia Drive PX
Nvidia Shield TV ⓘ
surface form:
Nvidia Shield TV (2015)
Nvidia Shield TV ⓘ
surface form:
Nvidia Shield TV (2017)
|
| packageType | BGA ⓘ |
| predecessor | Nvidia Tegra K1 ⓘ |
| processNode | 20 nm ⓘ |
| successor | Nvidia Tegra X2 ⓘ |
| supportsAPI |
NVIDIA CUDA
ⓘ
surface form:
CUDA
Direct3D 12 ⓘ
surface form:
DirectX 12
OpenCL ⓘ OpenGL ⓘ
surface form:
OpenGL 4.5
OpenGL ES ⓘ
surface form:
OpenGL ES 3.1
Vulkan ⓘ |
| supportsDisplayOutput | HDMI 2.0 ⓘ |
| supportsFeature |
hardware-accelerated 4K video decoding
ⓘ
hardware-accelerated 4K video encoding ⓘ hardware-accelerated encryption ⓘ |
| supportsVideoCodec |
H.264 hardware decode
ⓘ
H.265 hardware decode ⓘ |
| supportsVideoResolution | 4K @ 60 Hz ⓘ |
| targetDeviceClass |
automotive systems
ⓘ
embedded systems ⓘ tablets ⓘ |
| useCase |
automotive infotainment
ⓘ
gaming ⓘ multimedia ⓘ |
| wordSize | 64-bit ⓘ |
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 X1 Description of subject: 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.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Nvidia Tegra X1+ (2019 models)
this entity surface form:
Tegra X1
this entity surface form:
NVIDIA Tegra X1 system-on-chip
this entity surface form:
NVIDIA Tegra X1 integrated GPU