NVIDIA CUDA
E41922
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
All labels observed (24)
How this entity was disambiguated
This entity first appeared as the object of triple T328455 — 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 CUDA Context triple: [NVIDIA Corporation, brand, NVIDIA CUDA]
-
A.
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.
-
B.
NVIDIA Corporation
NVIDIA Corporation is a leading American technology company best known for designing powerful graphics processing units (GPUs) and AI computing platforms used in gaming, data centers, and high-performance computing.
-
C.
Intel Arc
Intel Arc is a line of discrete graphics processing units (GPUs) developed by Intel for gaming, content creation, and high-performance graphics workloads.
-
D.
InfiniBand
InfiniBand is a high-speed, low-latency communications standard commonly used as the interconnect fabric in supercomputers and large-scale data centers.
-
E.
Pleiades supercomputer
The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
- 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 CUDA Target entity description: NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
-
A.
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.
-
B.
NVIDIA Corporation
NVIDIA Corporation is a leading American technology company best known for designing powerful graphics processing units (GPUs) and AI computing platforms used in gaming, data centers, and high-performance computing.
-
C.
Intel Arc
Intel Arc is a line of discrete graphics processing units (GPUs) developed by Intel for gaming, content creation, and high-performance graphics workloads.
-
D.
InfiniBand
InfiniBand is a high-speed, low-latency communications standard commonly used as the interconnect fabric in supercomputers and large-scale data centers.
-
E.
Pleiades supercomputer
The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
- F. None of above. chosen
Statements (65)
| Predicate | Object |
|---|---|
| instanceOf |
parallel computing platform
ⓘ
programming model ⓘ |
| abbreviationOf | Compute Unified Device Architecture ⓘ |
| compatibleWith |
Linux
ⓘ
Windows ⓘ macOS (historical support) ⓘ |
| developer |
NVIDIA
ⓘ
linked to:
NVIDIA Corporation
|
| documentationURL | https://docs.nvidia.com/cuda/ ⓘ |
| ecosystem |
NVIDIA GPU Computing Ecosystem
ⓘ
linked to:
NVIDIA CUDA
|
| enables |
general-purpose computing on GPUs
ⓘ
high-performance computing ⓘ |
| hasComponent |
CUDA Events
ⓘ
linked to:
NVIDIA CUDA
CUDA Graphs ⓘ
linked to:
NVIDIA CUDA
CUDA Occupancy Calculator ⓘ
linked to:
NVIDIA CUDA
CUDA Streams ⓘ
linked to:
NVIDIA CUDA
|
| includes |
CUDA Driver API
ⓘ
CUDA Math Library ⓘ
linked to:
NVIDIA CUDA
CUDA Profiler tools ⓘ CUDA Runtime API ⓘ
linked to:
NVIDIA CUDA
CUDA Toolkit ⓘ
linked to:
NVIDIA CUDA
NCCL ⓘ Thrust ⓘ cuBLAS ⓘ cuDNN ⓘ cuFFT ⓘ
linked to:
NVIDIA CUDA
cuRAND ⓘ cuSPARSE ⓘ nvcc compiler ⓘ |
| introducedBy | NVIDIA in 2006 ⓘ |
| license | proprietary ⓘ |
| marketedAs | Compute Unified Device Architecture ⓘ |
| programmingModel | SIMT ⓘ |
| requires | NVIDIA GPU with CUDA capability ⓘ |
| supports |
GPU-accelerated computing
ⓘ
GPUDirect ⓘ asynchronous execution ⓘ constant memory on GPU ⓘ dynamic parallelism ⓘ events ⓘ heterogeneous computing ⓘ massively parallel kernels ⓘ multi-GPU programming ⓘ pinned host memory ⓘ shared memory on GPU ⓘ streams ⓘ texture memory on GPU ⓘ unified memory ⓘ |
| supportsLanguage |
CUDA C
ⓘ
linked to:
NVIDIA CUDA
CUDA C++ ⓘ
linked to:
NVIDIA CUDA
CUDA Fortran ⓘ Fortran via PGI/NVHPC compilers ⓘ Java via CUDA bindings ⓘ MATLAB via CUDA integration ⓘ Python via CUDA bindings ⓘ |
| targetHardware |
NVIDIA GPU
ⓘ
linked to:
NVIDIA GeForce GPU line
|
| toolkitDownloadURL | https://developer.nvidia.com/cuda-downloads ⓘ |
| usedFor |
computational finance
ⓘ
computer vision ⓘ data analytics ⓘ deep learning ⓘ image processing ⓘ machine learning ⓘ numerical simulation ⓘ scientific computing ⓘ signal processing ⓘ |
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 CUDA Description of subject: NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
Referenced by (64)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
subject linked to:
NVDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
subject linked to:
NVIDIA AI Enterprise software suite
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
subject linked to:
supercomputer Jean Zay (IDRIS, CNRS)
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA
subject linked to:
Compute Unified Device Architecture
linked to: NVIDIA CUDA
subject linked to:
Compute Unified Device Architecture
linked to: NVIDIA CUDA
subject linked to:
Compute Unified Device Architecture
linked to: NVIDIA CUDA
linked to: NVIDIA CUDA