RAFT
E890465
RAFT is a core NVIDIA RAPIDS library that provides reusable, GPU-accelerated primitives and algorithms for building high-performance data science and machine learning workflows.
All labels observed (1)
| Label | Occurrences |
|---|---|
| RAFT canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T10882146 — 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: RAFT Context triple: [NVIDIA RAPIDS, component, RAFT]
-
A.
RAP
RAP is the standard abbreviation used for Raptors 905, the NBA G League affiliate of the Toronto Raptors.
-
B.
RAFO
RAFO is the air warfare branch of Oman’s armed forces, responsible for defending the nation’s airspace and providing aerial support to its military operations.
-
C.
RAL
RAL is the IATA airport code for Riverside Municipal Airport, a public airport serving Riverside, California.
-
D.
RAR
RAR is the IATA airport code for Rarotonga International Airport, the main air gateway to the Cook Islands in the South Pacific.
-
E.
RAR
RAR is the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
- 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: RAFT Target entity description: RAFT is a core NVIDIA RAPIDS library that provides reusable, GPU-accelerated primitives and algorithms for building high-performance data science and machine learning workflows.
-
A.
RAP
RAP is the standard abbreviation used for Raptors 905, the NBA G League affiliate of the Toronto Raptors.
-
B.
RAFO
RAFO is the air warfare branch of Oman’s armed forces, responsible for defending the nation’s airspace and providing aerial support to its military operations.
-
C.
RAL
RAL is the IATA airport code for Riverside Municipal Airport, a public airport serving Riverside, California.
-
D.
RAR
RAR is the IATA airport code for Rarotonga International Airport, the main air gateway to the Cook Islands in the South Pacific.
-
E.
RAR
RAR is the Royal Australian Regiment, the principal regular infantry regiment of the Australian Army known for its service in major conflicts since World War II.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
GPU-accelerated library
ⓘ
NVIDIA RAPIDS library ⓘ open-source software library ⓘ |
| developer |
NVIDIA
ⓘ
linked to:
NVIDIA Corporation
|
| domain |
data science
ⓘ
high-performance computing ⓘ machine learning ⓘ |
| ecosystem |
RAPIDS AI
ⓘ
linked to:
NVIDIA RAPIDS
|
| feature |
distributed computing support
ⓘ
high-level algorithmic building blocks ⓘ low-level GPU primitives ⓘ multi-GPU support ⓘ performance-optimized implementations ⓘ |
| focusesOn |
composability of algorithms
ⓘ
reusability of GPU components ⓘ |
| goal |
enable reusable GPU-accelerated components
ⓘ
simplify development of GPU-accelerated ML algorithms ⓘ |
| integration |
C++ APIs
ⓘ
Python bindings via RAPIDS ⓘ |
| license | Apache License 2.0 ⓘ |
| optimizedFor |
high throughput
ⓘ
low latency ⓘ |
| partOf |
RAPIDS
ⓘ
linked to:
NVIDIA RAPIDS
|
| programmingLanguage |
C++
ⓘ
CUDA ⓘ
linked to:
NVIDIA CUDA
Python ⓘ |
| provides |
GPU-accelerated algorithms
ⓘ
GPU-accelerated primitives ⓘ building blocks for data science workflows ⓘ building blocks for machine learning workflows ⓘ |
| repository | https://github.com/rapidsai/raft ⓘ |
| supports |
clustering primitives
ⓘ
dense linear algebra operations ⓘ distance and similarity computations ⓘ graph analytics primitives ⓘ multi-node workloads ⓘ random number generation ⓘ single-GPU workloads ⓘ sparse linear algebra operations ⓘ statistics primitives ⓘ |
| supportsHardware |
NVIDIA GPUs
ⓘ
linked to:
NVIDIA GPU hardware
|
| supportsPlatform | CUDA-enabled systems ⓘ |
| targetUser |
HPC developers
ⓘ
data scientists ⓘ machine learning engineers ⓘ |
| usedBy |
cuGraph
ⓘ
cuML ⓘ other RAPIDS libraries ⓘ |
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: RAFT Description of subject: RAFT is a core NVIDIA RAPIDS library that provides reusable, GPU-accelerated primitives and algorithms for building high-performance data science and machine learning workflows.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.