NVIDIA Turing architecture
E791717
NVIDIA Turing architecture is a GPU microarchitecture that introduced real-time ray tracing and dedicated AI acceleration cores, powering the GeForce RTX 20-series and related professional graphics cards.
All labels observed (4)
| Label | Occurrences |
|---|---|
| NVIDIA Turing architecture canonical | 2 |
| NVIDIA Turing | 1 |
| NVIDIA Turing architecture GPUs | 1 |
| NVIDIA Turing shader architecture | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9323300 — 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 Turing architecture Context triple: [NVIDIA Ampere architecture, predecessor, NVIDIA Turing architecture]
-
A.
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.
-
B.
NVIDIA Volta architecture
NVIDIA Volta architecture is a GPU microarchitecture designed for high-performance computing and AI workloads, introducing Tensor Cores to accelerate deep learning operations.
-
C.
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.
-
D.
NVIDIA Pascal architecture
NVIDIA Pascal architecture is a GPU microarchitecture from NVIDIA designed to deliver high-performance computing and deep learning acceleration through improved efficiency, memory bandwidth, and parallel processing capabilities.
-
E.
NVIDIA Kepler architecture
NVIDIA Kepler architecture is a GPU microarchitecture designed to deliver high parallel computing performance and improved energy efficiency for graphics and high-performance computing workloads.
- 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 Turing architecture Target entity description: NVIDIA Turing architecture is a GPU microarchitecture that introduced real-time ray tracing and dedicated AI acceleration cores, powering the GeForce RTX 20-series and related professional graphics cards.
-
A.
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.
-
B.
NVIDIA Volta architecture
NVIDIA Volta architecture is a GPU microarchitecture designed for high-performance computing and AI workloads, introducing Tensor Cores to accelerate deep learning operations.
-
C.
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.
-
D.
NVIDIA Pascal architecture
NVIDIA Pascal architecture is a GPU microarchitecture from NVIDIA designed to deliver high-performance computing and deep learning acceleration through improved efficiency, memory bandwidth, and parallel processing capabilities.
-
E.
NVIDIA Kepler architecture
NVIDIA Kepler architecture is a GPU microarchitecture designed to deliver high parallel computing performance and improved energy efficiency for graphics and high-performance computing workloads.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf | GPU microarchitecture ⓘ |
| announcementDate | 2018-08-20 ⓘ |
| codename |
Turing
ⓘ
linked to:
Turing (for selected generations)
|
| developer |
NVIDIA
ⓘ
linked to:
NVIDIA Corporation
|
| firstConsumerLaunch | 2018-09 ⓘ |
| introducedFeature |
GDDR6 memory support
ⓘ
NVIDIA DLSS support ⓘ RT Cores ⓘ Tensor Cores for consumer GPUs ⓘ concurrent FP32 and INT32 execution ⓘ hardware-accelerated AI inference ⓘ hardware-accelerated ray-triangle intersection ⓘ mesh shaders ⓘ real-time ray tracing support ⓘ variable rate shading ⓘ |
| manufacturer | TSMC ⓘ |
| marketedAs | RTX ⓘ |
| notableGPU |
GeForce GTX 1660 Ti
ⓘ
GeForce RTX 2060 ⓘ GeForce RTX 2070 ⓘ GeForce RTX 2080 ⓘ GeForce RTX 2080 Ti ⓘ Quadro RTX 6000 ⓘ Quadro RTX 8000 ⓘ TITAN RTX ⓘ
linked to:
NVIDIA TITAN RTX
|
| predecessor | NVIDIA Volta architecture ⓘ |
| processNode | 12 nm FinFET ⓘ |
| successor | NVIDIA Ampere architecture ⓘ |
| supportsAPI |
DirectX 12 Ultimate (partial feature set depending on GPU)
ⓘ
NVIDIA RTX platform ⓘ
linked to:
RTX
Vulkan ray tracing extensions ⓘ
linked to:
Vulkan
|
| supportsFeature |
DisplayPort 1.4a
ⓘ
HDMI 2.0b (on reference boards) ⓘ NVIDIA NVLink (on selected models) ⓘ
linked to:
NVLink interconnect
PCI Express 3.0 ⓘ deep learning super sampling (DLSS) ⓘ
linked to:
DLSS (Deep Learning Super Sampling)
hardware-accelerated ray tracing ⓘ |
| supportsTechnology |
NVIDIA CUDA
ⓘ
NVIDIA NGX AI framework ⓘ NVIDIA OptiX ray tracing engine ⓘ
linked to:
NVIDIA OptiX
NVIDIA RTX ray tracing platform ⓘ
linked to:
RTX
|
| targetMarket |
AI inference acceleration
ⓘ
gaming GPUs ⓘ professional visualization GPUs ⓘ |
| usedInProductLine |
NVIDIA GeForce GTX 16 Series
ⓘ
linked to:
GeForce 16 Series
NVIDIA GeForce RTX 20 Series ⓘ
linked to:
GeForce 20 Series
NVIDIA Quadro RTX Series ⓘ
linked to:
Quadro RTX series
NVIDIA TITAN RTX ⓘ NVIDIA Turing-based Tesla / data center GPUs ⓘ |
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 Turing architecture Description of subject: NVIDIA Turing architecture is a GPU microarchitecture that introduced real-time ray tracing and dedicated AI acceleration cores, powering the GeForce RTX 20-series and related professional graphics cards.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: NVIDIA Turing architecture
linked to: NVIDIA Turing architecture
linked to: NVIDIA Turing architecture