NVIDIA A100
E790764
The NVIDIA A100 is a high-performance data center GPU designed for AI, high-performance computing, and data analytics workloads, featuring advanced Tensor Core acceleration.
All labels observed (1)
| Label | Occurrences |
|---|---|
| NVIDIA A100 canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T9298139 — 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 A100 Context triple: [Tensor Cores, usedInProductLine, NVIDIA A100]
-
A.
NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
-
B.
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.
-
C.
Nvidia Maxwell GPU
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.
-
D.
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.
-
E.
NVIDIA Quadro
NVIDIA Quadro is a line of professional-grade graphics cards designed for demanding visualization, CAD, and content creation workloads in workstations and enterprise environments.
- 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 A100 Target entity description: The NVIDIA A100 is a high-performance data center GPU designed for AI, high-performance computing, and data analytics workloads, featuring advanced Tensor Core acceleration.
-
A.
NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
-
B.
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.
-
C.
Nvidia Maxwell GPU
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.
-
D.
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.
-
E.
NVIDIA Quadro
NVIDIA Quadro is a line of professional-grade graphics cards designed for demanding visualization, CAD, and content creation workloads in workstations and enterprise environments.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
data center GPU
ⓘ
graphics processing unit ⓘ |
| architecture | Ampere NERFINISHED ⓘ |
| codename | GA100 NERFINISHED ⓘ |
| family | NVIDIA data center GPUs NERFINISHED ⓘ |
| hasFeature |
HBM2e memory
ⓘ
Multi-Instance GPU NERFINISHED ⓘ NVLink support ⓘ PCI Express 4.0 support ⓘ second-generation RT Cores ⓘ third-generation Tensor Cores ⓘ |
| launchDate | May 2020 ⓘ |
| manufacturer | NVIDIA NERFINISHED ⓘ |
| memoryBusWidth | 5120-bit ⓘ |
| memoryCapacityVariant |
40 GB
ⓘ
80 GB ⓘ |
| memoryType | HBM2e ⓘ |
| processNode | TSMC 7 nm NERFINISHED ⓘ |
| successorOf | NVIDIA V100 NERFINISHED ⓘ |
| supports |
Tensor Cores
NERFINISHED
ⓘ
deep learning inference ⓘ deep learning training ⓘ mixed-precision computing ⓘ |
| supportsInterface |
HGX A100 platform
NERFINISHED
ⓘ
PCIe 4.0 ⓘ SXMe form factor NERFINISHED ⓘ |
| supportsPrecision |
FP16
ⓘ
FP32 ⓘ FP64 ⓘ INT4 ⓘ INT8 ⓘ TF32 ⓘ |
| supportsTechnology |
CUDA
NERFINISHED
ⓘ
NVLink NERFINISHED ⓘ NVSwitch NERFINISHED ⓘ TensorRT NERFINISHED ⓘ cuDNN NERFINISHED ⓘ |
| targetMarket | data centers ⓘ |
| targetWorkloads |
artificial intelligence
ⓘ
data analytics ⓘ high-performance computing ⓘ |
| transistorCount | 54000000000 ⓘ |
| useCase |
cloud AI services
ⓘ
enterprise AI training ⓘ large-scale recommendation systems ⓘ natural language processing ⓘ scientific simulations ⓘ supercomputing clusters ⓘ |
| usedIn |
NVIDIA DGX A100 system
NERFINISHED
ⓘ
NVIDIA HGX A100 platform NERFINISHED ⓘ |
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 A100 Description of subject: The NVIDIA A100 is a high-performance data center GPU designed for AI, high-performance computing, and data analytics workloads, featuring advanced Tensor Core acceleration.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.