NVIDIA Ampere architecture
E224322
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.
All labels observed (4)
| Label | Occurrences |
|---|---|
| NVIDIA Ampere architecture canonical | 4 |
| Ampere architecture | 2 |
| NVIDIA H100 | 1 |
| NVIDIA RTX GPU with Tensor Cores | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1994864 — 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 Ampere architecture Context triple: [RTX, basedOn, NVIDIA Ampere architecture]
-
A.
NVIDIA AI Enterprise software suite
NVIDIA AI Enterprise software suite is a comprehensive, enterprise-grade collection of AI tools, frameworks, and optimized software designed to accelerate the development and deployment of AI and data analytics workloads across modern data centers and clouds.
-
B.
NVIDIA Tesla data center GPUs
NVIDIA Tesla data center GPUs are high-performance graphics processing units designed for accelerated computing workloads such as AI, machine learning, and high-performance computing in server and data center environments.
-
C.
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.
-
D.
Tensor Cores
Tensor Cores are specialized processing units in NVIDIA GPUs designed to accelerate matrix operations for deep learning and AI workloads.
-
E.
RTX
RTX is NVIDIA's line of graphics technologies and products centered on real-time ray tracing and advanced GPU performance for gaming and professional visualization.
- 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 Ampere architecture Target entity description: 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.
-
A.
NVIDIA AI Enterprise software suite
NVIDIA AI Enterprise software suite is a comprehensive, enterprise-grade collection of AI tools, frameworks, and optimized software designed to accelerate the development and deployment of AI and data analytics workloads across modern data centers and clouds.
-
B.
NVIDIA Tesla data center GPUs
NVIDIA Tesla data center GPUs are high-performance graphics processing units designed for accelerated computing workloads such as AI, machine learning, and high-performance computing in server and data center environments.
-
C.
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.
-
D.
Tensor Cores
Tensor Cores are specialized processing units in NVIDIA GPUs designed to accelerate matrix operations for deep learning and AI workloads.
-
E.
RTX
RTX is a major American aerospace and defense company formed from the merger of Raytheon Company and United Technologies Corporation, known for its advanced military, aviation, and cybersecurity technologies.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf | GPU microarchitecture ⓘ |
| announcementDate | 2020-05-14 ⓘ |
| codename | Ampere ⓘ |
| developer |
NVIDIA
ⓘ
linked to:
NVIDIA Corporation
|
| fabricationProcess |
7 nm
ⓘ
8 nm ⓘ |
| firstGamingGPUsAnnounced |
GeForce RTX 3070
ⓘ
linked to:
GeForce 30 Series
GeForce RTX 3080 ⓘ
linked to:
RTX
GeForce RTX 3090 ⓘ
linked to:
GeForce 30 Series
|
| firstProductAnnounced | NVIDIA A100 ⓘ |
| improvementOver |
NVIDIA Turing architecture AI performance
ⓘ
NVIDIA Turing architecture power efficiency ⓘ NVIDIA Turing architecture ray tracing performance ⓘ |
| includes |
CUDA Cores
ⓘ
second-generation RT Cores ⓘ third-generation Tensor Cores ⓘ |
| marketedAs |
NVIDIA A-series for data center
ⓘ
linked to:
NVIDIA Tesla data center GPUs
NVIDIA RTX A-series for professional visualization ⓘ RTX 30 Series for gaming ⓘ |
| namedAfter | André-Marie Ampère ⓘ |
| notableGPU |
GeForce RTX 3060
ⓘ
linked to:
GeForce 30 Series
GeForce RTX 3060 Ti ⓘ
linked to:
GeForce 30 Series
GeForce RTX 3070 Ti ⓘ
linked to:
GeForce 30 Series
GeForce RTX 3080 Ti ⓘ
linked to:
RTX
GeForce RTX 3090 Ti ⓘ
linked to:
RTX
NVIDIA A100 ⓘ NVIDIA A30 ⓘ NVIDIA A40 ⓘ NVIDIA RTX A6000 ⓘ |
| predecessor | NVIDIA Turing architecture ⓘ |
| primaryFoundry |
Samsung Electronics
ⓘ
linked to:
Samsung
TSMC ⓘ |
| successor | NVIDIA Ada Lovelace architecture ⓘ |
| supports |
CUDA
ⓘ
linked to:
NVIDIA CUDA
DirectX 12 Ultimate ⓘ
linked to:
DirectX
DisplayPort 1.4a ⓘ
linked to:
DisplayPort
GDDR6 memory ⓘ GDDR6X memory ⓘ HDMI 2.1 ⓘ NVIDIA DLSS ⓘ
linked to:
DLSS (Deep Learning Super Sampling)
NVIDIA RTX platform ⓘ
linked to:
RTX
PCI Express 4.0 ⓘ
linked to:
PCI Express
Vulkan ray tracing ⓘ
linked to:
Vulkan
hardware-accelerated ray tracing ⓘ |
| targetMarket |
consumer gaming
ⓘ
enterprise data centers ⓘ professional visualization ⓘ |
| useCase |
AI and machine learning workloads
ⓘ
data center accelerators ⓘ gaming GPUs ⓘ high-performance computing ⓘ |
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 Ampere architecture Description of subject: 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.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: NVIDIA Ampere architecture
linked to: NVIDIA Ampere architecture
linked to: NVIDIA Ampere architecture
linked to: NVIDIA Ampere architecture