NVIDIA A40
E791718
The NVIDIA A40 is a high-performance data center GPU designed for professional visualization, AI inference, and compute workloads, built on NVIDIA’s Ampere generation.
All labels observed (2)
| Label | Occurrences |
|---|---|
| NVIDIA A40 canonical | 2 |
| NVIDIA RTX A5000 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9323338 — 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 A40 Context triple: [NVIDIA Ampere architecture, notableGPU, NVIDIA A40]
-
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 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.
-
C.
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.
-
D.
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.
-
E.
GeForce 30 Series
The GeForce 30 Series is NVIDIA’s generation of consumer graphics cards based on the Ampere architecture, known for significant performance gains and advanced ray tracing and AI features for gaming and creative 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 A40 Target entity description: The NVIDIA A40 is a high-performance data center GPU designed for professional visualization, AI inference, and compute workloads, built on NVIDIA’s Ampere generation.
-
A.
NVIDIA A100
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
NVIDIA Ampere architecture GPU
ⓘ
data center GPU ⓘ graphics processing unit ⓘ |
| architecture | Ampere ⓘ |
| compatibleWith |
NVIDIA AI Enterprise software
ⓘ
linked to:
NVIDIA AI Enterprise software suite
NVIDIA CUDA Toolkit ⓘ
linked to:
CUDA toolkit
major deep learning frameworks ⓘ |
| cooling | passive cooling ⓘ |
| designedFor | server chassis with active airflow ⓘ |
| formFactor | PCIe add-in card ⓘ |
| hasFeature |
RT Cores
ⓘ
Tensor Cores ⓘ hardware video decoding ⓘ hardware video encoding ⓘ |
| manufacturer |
NVIDIA
ⓘ
linked to:
NVIDIA Corporation
|
| memoryType | GDDR6 ⓘ |
| releaseContext |
NVIDIA Ampere data center GPU family
ⓘ
linked to:
NVIDIA Hopper architecture
|
| supports |
AI acceleration
ⓘ
AI inference in production ⓘ ECC memory ⓘ FP16 compute ⓘ FP32 compute ⓘ INT4 compute ⓘ INT8 compute ⓘ NVIDIA CUDA ⓘ NVIDIA GPU Direct ⓘ
linked to:
GPUDirect
NVIDIA NVDEC ⓘ
linked to:
5th-generation NVIDIA Decoder (NVDEC)
NVIDIA NVENC ⓘ
linked to:
Nvidia NVENC
NVIDIA RTX Virtual Workstation ⓘ NVIDIA RTX technology ⓘ
linked to:
RTX
NVIDIA TensorRT ⓘ NVIDIA Virtual Compute Server ⓘ NVIDIA vGPU software ⓘ PCI Express 4.0 ⓘ
linked to:
PCI Express
containerized workloads ⓘ digital twin applications ⓘ graphics workloads ⓘ mixed-precision compute ⓘ multi-GPU configurations ⓘ ray tracing ⓘ remote visualization ⓘ rendering workloads ⓘ simulation workloads ⓘ virtualization ⓘ |
| targetMarket |
AI inference workloads
ⓘ
compute workloads ⓘ data centers ⓘ professional visualization ⓘ |
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 A40 Description of subject: The NVIDIA A40 is a high-performance data center GPU designed for professional visualization, AI inference, and compute workloads, built on NVIDIA’s Ampere generation.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.