CUDA toolkit
E790554
CUDA Toolkit is NVIDIA’s software development platform that provides compilers, libraries, and tools for building and optimizing GPU-accelerated applications.
All labels observed (3)
| Label | Occurrences |
|---|---|
| CUDA | 1 |
| CUDA toolkit canonical | 1 |
| NVIDIA CUDA Toolkit | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9298210 — 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: CUDA toolkit Context triple: [NVIDIA OptiX, requires, CUDA toolkit]
-
A.
CUDA libraries
CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
-
B.
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.
-
C.
CUDA Runtime API
The CUDA Runtime API is a high-level programming interface that simplifies developing and managing GPU-accelerated applications on NVIDIA GPUs.
-
D.
NVIDIA HPC SDK
NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools from NVIDIA designed to optimize and accelerate high-performance computing applications on NVIDIA GPUs and CPUs.
-
E.
CUDA Driver API
The CUDA Driver API is a low-level programming interface from NVIDIA that gives developers fine-grained control over GPU resources and execution for CUDA applications.
- 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: CUDA toolkit Target entity description: CUDA Toolkit is NVIDIA’s software development platform that provides compilers, libraries, and tools for building and optimizing GPU-accelerated applications.
-
A.
CUDA libraries
CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
-
B.
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.
-
C.
CUDA Runtime API
The CUDA Runtime API is a high-level programming interface that simplifies developing and managing GPU-accelerated applications on NVIDIA GPUs.
-
D.
NVIDIA HPC SDK
NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools from NVIDIA designed to optimize and accelerate high-performance computing applications on NVIDIA GPUs and CPUs.
-
E.
CUDA Driver API
The CUDA Driver API is a low-level programming interface from NVIDIA that gives developers fine-grained control over GPU resources and execution for CUDA applications.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
GPU computing toolkit
ⓘ
software development platform ⓘ |
| computingModel | CUDA NERFINISHED ⓘ |
| developer | NVIDIA NERFINISHED ⓘ |
| distributionModel | free to download ⓘ |
| documentation | NVIDIA CUDA Toolkit documentation website NERFINISHED ⓘ |
| includesAPI |
CUDA Driver API
NERFINISHED
ⓘ
CUDA Graphs API NERFINISHED ⓘ CUDA Runtime API NERFINISHED ⓘ |
| includesComponent |
CUDA debugger
NERFINISHED
ⓘ
CUDA driver API NERFINISHED ⓘ CUDA math libraries NERFINISHED ⓘ CUDA profiler tools NERFINISHED ⓘ CUDA runtime library NERFINISHED ⓘ CUDA samples NERFINISHED ⓘ Nsight tools integration ⓘ Thrust NERFINISHED ⓘ cuBLAS NERFINISHED ⓘ cuDNN NERFINISHED ⓘ cuFFT NERFINISHED ⓘ cuRAND NERFINISHED ⓘ cuSPARSE NERFINISHED ⓘ nvcc compiler ⓘ |
| license | proprietary software license ⓘ |
| maintainer | NVIDIA CUDA team NERFINISHED ⓘ |
| operatingSystemSupport |
Linux
NERFINISHED
ⓘ
Windows NERFINISHED ⓘ macOS (legacy versions) ⓘ |
| optimizationSupport |
GPU performance profiling
ⓘ
kernel optimization ⓘ memory transfer optimization ⓘ |
| primaryUse |
GPU-accelerated application development
ⓘ
data analytics acceleration ⓘ high-performance computing ⓘ machine learning acceleration ⓘ scientific computing ⓘ |
| programmingLanguageSupport |
C
NERFINISHED
ⓘ
C++ NERFINISHED ⓘ Fortran NERFINISHED ⓘ |
| provider | NVIDIA NERFINISHED ⓘ |
| requires |
compatible NVIDIA GPU
ⓘ
supported NVIDIA driver ⓘ |
| supportsHardware |
NVIDIA GPU
NERFINISHED
ⓘ
NVIDIA data center GPU NERFINISHED ⓘ NVIDIA desktop GPU ⓘ NVIDIA laptop GPU ⓘ |
| targetDomain |
AI
NERFINISHED
ⓘ
HPC NERFINISHED ⓘ graphics and 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: CUDA toolkit Description of subject: CUDA Toolkit is NVIDIA’s software development platform that provides compilers, libraries, and tools for building and optimizing GPU-accelerated applications.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
CUDA