Nvidia Maxwell GPU
E357580
The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
All labels observed (5)
| Label | Occurrences |
|---|---|
| NVIDIA GPUs | 16 |
| NVIDIA Maxwell architecture | 3 |
| GeForce 10 Series | 1 |
| GeForce GTX Titan X (Maxwell) | 1 |
| Nvidia Maxwell GPU canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3419253 — 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 Maxwell GPU Context triple: [Nvidia Shield TV, gpu, Nvidia Maxwell GPU]
-
A.
NVIDIA Ada Lovelace architecture
NVIDIA Ada Lovelace architecture is a GPU microarchitecture from NVIDIA that powers the RTX 40-series graphics cards, delivering major advances in ray tracing, AI acceleration, and power efficiency over previous generations.
-
B.
NVIDIA Ampere architecture
NVIDIA Ampere architecture is a GPU microarchitecture from NVIDIA that powers RTX 30-series graphics cards, delivering significant improvements in ray tracing, AI performance, and power efficiency over previous generations.
-
C.
NVIDIA GeForce GPU line
The NVIDIA GeForce GPU line is a flagship series of consumer graphics processors widely used for gaming, creative workloads, and GPU-accelerated computing.
-
D.
NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
-
E.
NVIDIA Studio
NVIDIA Studio is a platform and suite of tools, drivers, and optimizations designed to enhance performance and reliability for creative and content creation workflows on NVIDIA GPUs.
- 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 Maxwell GPU Target entity description: The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
-
A.
NVIDIA Ada Lovelace architecture
NVIDIA Ada Lovelace architecture is a GPU microarchitecture from NVIDIA that powers the RTX 40-series graphics cards, delivering major advances in ray tracing, AI acceleration, and power efficiency over previous generations.
-
B.
NVIDIA Ampere architecture
NVIDIA Ampere architecture is a GPU microarchitecture from NVIDIA that powers RTX 30-series graphics cards, delivering significant improvements in ray tracing, AI performance, and power efficiency over previous generations.
-
C.
NVIDIA GeForce GPU line
The NVIDIA GeForce GPU line is a flagship series of consumer graphics processors widely used for gaming, creative workloads, and GPU-accelerated computing.
-
D.
NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
-
E.
NVIDIA Studio
NVIDIA Studio is a platform and suite of tools, drivers, and optimizations designed to enhance performance and reliability for creative and content creation workflows on NVIDIA GPUs.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
GPU microarchitecture
ⓘ
Nvidia GPU architecture ⓘ |
| announcementDate | 2014 ⓘ |
| architectureGeneration |
first generation Maxwell
ⓘ
second generation Maxwell ⓘ |
| codename |
GM10x
ⓘ
GM20x ⓘ |
| designGoal |
better performance in gaming workloads
ⓘ
higher performance per watt than Kepler ⓘ |
| developer |
Nvidia
ⓘ
linked to:
NVIDIA Corporation
|
| firstProductsLaunchYear | 2014 ⓘ |
| followedBy |
Nvidia Pascal
ⓘ
linked to:
NVIDIA Pascal architecture
|
| graphicsCardSeries |
GeForce 900 series
ⓘ
linked to:
GeForce 900 Series
|
| manufacturer |
Nvidia
ⓘ
linked to:
NVIDIA Corporation
|
| marketedAs | Maxwell ⓘ |
| notableFeature |
enhanced power efficiency
ⓘ
improved performance per watt compared to Kepler ⓘ refined SM (Streaming Multiprocessor) design ⓘ |
| precededBy |
Nvidia Kepler
ⓘ
linked to:
NVIDIA Kepler architecture
|
| processNode | 28 nm ⓘ |
| supports |
CUDA
ⓘ
linked to:
NVIDIA CUDA
DirectX 11 ⓘ
linked to:
Direct3D 11
DirectX 12 feature level 12_1 (second generation) ⓘ
linked to:
DirectX 12 Ultimate
DisplayPort 1.2 ⓘ HDMI 2.0 (second generation chips) ⓘ Nvidia DSR (Dynamic Super Resolution) ⓘ Nvidia GPU Boost 2.0 ⓘ Nvidia GameWorks technologies ⓘ
linked to:
NVIDIA GameWorks
Nvidia MFAA (Multi-Frame Sampled AA) ⓘ Nvidia Optimus (on mobile platforms) ⓘ
linked to:
NVIDIA Optimus (depending on laptop design)
OpenGL ⓘ |
| targetMarket |
desktop GPUs
ⓘ
embedded GPUs ⓘ mobile GPUs ⓘ |
| timePeriod | mid-2010s ⓘ |
| usedIn |
GeForce GTX 750
ⓘ
GeForce GTX 750 Ti ⓘ
linked to:
GeForce GTX 750
GeForce GTX 950 ⓘ
linked to:
GeForce 900 Series
GeForce GTX 960 ⓘ
linked to:
GeForce 900 Series
GeForce GTX 970 ⓘ
linked to:
GeForce 900 Series
GeForce GTX 980 ⓘ
linked to:
GeForce 900 Series
GeForce GTX 980 Ti ⓘ
linked to:
GeForce GTX 750
GeForce GTX Titan X (Maxwell) ⓘ
linked to:
Nvidia Maxwell GPU
Nvidia Shield devices of that era ⓘ consumer graphics cards ⓘ some GeForce 800M series mobile GPUs ⓘ some GeForce 900M series mobile GPUs ⓘ some embedded and automotive platforms ⓘ workstation graphics cards ⓘ |
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 Maxwell GPU Description of subject: The Nvidia Maxwell GPU is a graphics processing architecture from Nvidia known for significantly improved power efficiency and performance, widely used in mid-2010s desktop, mobile, and embedded devices.
Referenced by (22)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
subject linked to:
Compute Unified Device Architecture
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
subject linked to:
Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU
linked to: Nvidia Maxwell GPU