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 (2)
| Label | Occurrences |
|---|---|
| NVIDIA Ampere architecture canonical | 2 |
| NVIDIA H100 | 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.
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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.
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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 Corporation
ⓘ
surface form:
NVIDIA
|
| fabricationProcess |
7 nm
ⓘ
8 nm ⓘ |
| firstGamingGPUsAnnounced |
GeForce 30 Series
ⓘ
surface form:
GeForce RTX 3070
RTX ⓘ
surface form:
GeForce RTX 3080
GeForce 30 Series ⓘ
surface form:
GeForce RTX 3090
|
| 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 Tesla data center GPUs
ⓘ
surface form:
NVIDIA A-series for data center
NVIDIA RTX A-series for professional visualization ⓘ RTX 30 Series for gaming ⓘ |
| namedAfter | André-Marie Ampère ⓘ |
| notableGPU |
GeForce 30 Series
ⓘ
surface form:
GeForce RTX 3060
GeForce 30 Series ⓘ
surface form:
GeForce RTX 3060 Ti
GeForce 30 Series ⓘ
surface form:
GeForce RTX 3070 Ti
RTX ⓘ
surface form:
GeForce RTX 3080 Ti
RTX ⓘ
surface form:
GeForce RTX 3090 Ti
NVIDIA A100 ⓘ NVIDIA A30 ⓘ NVIDIA A40 ⓘ NVIDIA RTX A6000 ⓘ |
| predecessor | NVIDIA Turing architecture ⓘ |
| primaryFoundry |
Samsung
ⓘ
surface form:
Samsung Electronics
TSMC ⓘ |
| successor | NVIDIA Ada Lovelace architecture ⓘ |
| supports |
NVIDIA CUDA
ⓘ
surface form:
CUDA
DirectX ⓘ
surface form:
DirectX 12 Ultimate
DisplayPort ⓘ
surface form:
DisplayPort 1.4a
GDDR6 memory ⓘ GDDR6X memory ⓘ HDMI 2.1 ⓘ DLSS (Deep Learning Super Sampling) ⓘ
surface form:
NVIDIA DLSS
RTX ⓘ
surface form:
NVIDIA RTX platform
PCI Express ⓘ
surface form:
PCI Express 4.0
Vulkan ⓘ
surface form:
Vulkan ray tracing
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 (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
NVIDIA H100