RMM
E890461
RMM is the RAPIDS Memory Manager, a GPU-accelerated memory management library used within NVIDIA RAPIDS to efficiently allocate and manage device memory for data science and analytics workloads.
All labels observed (1)
| Label | Occurrences |
|---|---|
| RMM canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10882141 — 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: RMM Context triple: [NVIDIA RAPIDS, component, RMM]
-
A.
RMM1
RMM1 is one of the primary Real-time Multivariate MJO index components used to quantify and track the phase and amplitude of the Madden–Julian Oscillation in atmospheric observations and forecasts.
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B.
RMO
RMO is the commonly used abbreviation for the Rijksmuseum van Oudheden, the Dutch national museum of antiquities in Leiden.
-
C.
RMF
RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
-
D.
AMM
AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
-
E.
AMM
AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
- 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: RMM Target entity description: RMM is the RAPIDS Memory Manager, a GPU-accelerated memory management library used within NVIDIA RAPIDS to efficiently allocate and manage device memory for data science and analytics workloads.
-
A.
RMM1
RMM1 is one of the primary Real-time Multivariate MJO index components used to quantify and track the phase and amplitude of the Madden–Julian Oscillation in atmospheric observations and forecasts.
-
B.
RMO
RMO is the commonly used abbreviation for the Rijksmuseum van Oudheden, the Dutch national museum of antiquities in Leiden.
-
C.
RMF
RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
-
D.
AMM
AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
-
E.
AMM
AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
GPU memory management library
ⓘ
RAPIDS component ⓘ open-source software library ⓘ |
| aimsTo |
improve GPU memory utilization
ⓘ
minimize GPU memory fragmentation ⓘ provide consistent memory behavior across RAPIDS libraries ⓘ reduce GPU memory allocation overhead ⓘ |
| designedFor |
ETL workloads
ⓘ
GPU-accelerated data science workloads ⓘ analytics workloads ⓘ machine learning workloads ⓘ |
| developedBy | NVIDIA NERFINISHED ⓘ |
| feature |
arena allocator
ⓘ
asynchronous memory allocation support ⓘ configurable memory resource hierarchy ⓘ device memory resource interface ⓘ host memory resource interface ⓘ managed memory resource interface ⓘ out-of-memory error handling ⓘ pool allocator ⓘ statistics collection for allocations ⓘ stream-ordered memory allocation ⓘ |
| fullName | RAPIDS Memory Manager NERFINISHED ⓘ |
| integratesWith |
CUDA
NERFINISHED
ⓘ
RAPIDS cuDF NERFINISHED ⓘ RAPIDS cuGraph NERFINISHED ⓘ RAPIDS cuML NERFINISHED ⓘ |
| license | Apache License 2.0 ⓘ |
| maintainedBy | RAPIDS AI team NERFINISHED ⓘ |
| partOf |
RAPIDS
NERFINISHED
ⓘ
RAPIDS AI ecosystem NERFINISHED ⓘ |
| programmingLanguage |
C++
ⓘ
CUDA C++ NERFINISHED ⓘ Python (bindings) ⓘ |
| provides |
GPU device memory allocation
ⓘ
GPU device memory deallocation ⓘ logging of memory allocations ⓘ memory pooling ⓘ memory resource abstractions ⓘ memory tracking ⓘ |
| repository | https://github.com/rapidsai/rmm ⓘ |
| supportsLanguageBinding |
C++
ⓘ
Python ⓘ |
| targetHardware | NVIDIA GPU NERFINISHED ⓘ |
| targetPlatform | GPU ⓘ |
| usedBy |
cuDF
NERFINISHED
ⓘ
cuGraph NERFINISHED ⓘ cuML NERFINISHED ⓘ 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: RMM Description of subject: RMM is the RAPIDS Memory Manager, a GPU-accelerated memory management library used within NVIDIA RAPIDS to efficiently allocate and manage device memory for data science and analytics workloads.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.