NVIDIA Pascal architecture
E762898
NVIDIA Pascal architecture is a GPU microarchitecture from NVIDIA designed to deliver high-performance computing and deep learning acceleration through improved efficiency, memory bandwidth, and parallel processing capabilities.
All labels observed (5)
| Label | Occurrences |
|---|---|
| NVIDIA Tesla V100 | 2 |
| NVIDIA Pascal architecture canonical | 1 |
| NVIDIA Tesla P4 | 1 |
| NVIDIA Tesla P40 | 1 |
| Nvidia Pascal | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8822685 — 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 Pascal architecture Context triple: [NVIDIA Tesla data center GPUs, architectureBasedOn, NVIDIA Pascal architecture]
-
A.
NVIDIA Kepler architecture
NVIDIA Kepler architecture is a GPU microarchitecture designed to deliver high parallel computing performance and improved energy efficiency for graphics and high-performance computing workloads.
-
B.
NVIDIA Ampere architecture
NVIDIA Ampere architecture is a GPU microarchitecture from NVIDIA that powers RTX 30-series graphics cards, delivering significant improvements in ray tracing, AI performance, and power efficiency over previous generations.
-
C.
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.
-
D.
NVIDIA Ada Lovelace architecture
NVIDIA Ada Lovelace architecture is a GPU microarchitecture from NVIDIA that powers the RTX 40-series graphics cards, delivering major advances in ray tracing, AI acceleration, and power efficiency over previous generations.
-
E.
NVIDIA Volta architecture
NVIDIA Volta architecture is a GPU microarchitecture designed for high-performance computing and AI workloads, introducing Tensor Cores to accelerate deep learning operations.
- 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 Pascal architecture Target entity description: NVIDIA Pascal architecture is a GPU microarchitecture from NVIDIA designed to deliver high-performance computing and deep learning acceleration through improved efficiency, memory bandwidth, and parallel processing capabilities.
-
A.
NVIDIA Kepler architecture
NVIDIA Kepler architecture is a GPU microarchitecture designed to deliver high parallel computing performance and improved energy efficiency for graphics and high-performance computing workloads.
-
B.
NVIDIA Ampere architecture
NVIDIA Ampere architecture is a GPU microarchitecture from NVIDIA that powers RTX 30-series graphics cards, delivering significant improvements in ray tracing, AI performance, and power efficiency over previous generations.
-
C.
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.
-
D.
NVIDIA Ada Lovelace architecture
NVIDIA Ada Lovelace architecture is a GPU microarchitecture from NVIDIA that powers the RTX 40-series graphics cards, delivering major advances in ray tracing, AI acceleration, and power efficiency over previous generations.
-
E.
NVIDIA Volta architecture
NVIDIA Volta architecture is a GPU microarchitecture designed for high-performance computing and AI workloads, introducing Tensor Cores to accelerate deep learning operations.
- F. None of above. chosen
Statements (58)
| Predicate | Object |
|---|---|
| instanceOf | GPU microarchitecture ⓘ |
| announcementDate | 2015-03-17 ⓘ |
| architectureGeneration |
predecessor to NVIDIA Volta
ⓘ
successor to NVIDIA Maxwell ⓘ |
| codename | Pascal NERFINISHED ⓘ |
| developer | NVIDIA NERFINISHED ⓘ |
| firstProductsLaunchYear | 2016 ⓘ |
| flagshipComputeGPU | NVIDIA Tesla P100 NERFINISHED ⓘ |
| flagshipConsumerGPU |
NVIDIA GeForce GTX 1080
NERFINISHED
ⓘ
NVIDIA GeForce GTX 1080 Ti NERFINISHED ⓘ |
| flagshipDatacenterGPU |
NVIDIA Tesla P100
NERFINISHED
ⓘ
NVIDIA Tesla P4 NERFINISHED ⓘ NVIDIA Tesla P40 NERFINISHED ⓘ |
| manufacturingProcess |
14 nm FinFET
ⓘ
16 nm FinFET ⓘ |
| marketSegment |
datacenter accelerators
ⓘ
desktop GPUs ⓘ mobile GPUs ⓘ workstation GPUs ⓘ |
| notableUseCase |
real-time graphics rendering
ⓘ
scientific simulations ⓘ training deep neural networks ⓘ |
| predecessor | NVIDIA Maxwell architecture NERFINISHED ⓘ |
| successor | NVIDIA Volta architecture NERFINISHED ⓘ |
| supportedMemoryType |
GDDR5
ⓘ
GDDR5X ⓘ HBM2 ⓘ |
| supportsAPI |
CUDA 8
NERFINISHED
ⓘ
CUDA 9 (on some GPUs) NERFINISHED ⓘ DirectX 12 feature level 12_1 ⓘ OpenCL 1.2 NERFINISHED ⓘ OpenGL 4.5 NERFINISHED ⓘ Vulkan NERFINISHED ⓘ |
| supportsFeature |
Ansel
NERFINISHED
ⓘ
FP64 double-precision compute (higher ratio on Tesla P100) ⓘ Fast Sync ⓘ GPU Boost 3.0 NERFINISHED ⓘ NVIDIA GPU Direct RDMA (on Tesla products) NERFINISHED ⓘ NVIDIA NVLink NERFINISHED ⓘ Simultaneous Multi-Projection NERFINISHED ⓘ enhanced asynchronous compute ⓘ enhanced power efficiency ⓘ error-correcting code memory (ECC) on Tesla products ⓘ improved instruction scheduling ⓘ improved memory compression ⓘ mixed-precision compute (FP16 on some GPUs) ⓘ multi-GPU via SLI HB bridge (on some GeForce cards) ⓘ preemption at instruction level (on some GPUs) ⓘ unified memory with page migration ⓘ |
| targetDomain |
consumer graphics
ⓘ
deep learning ⓘ high-performance computing ⓘ professional visualization ⓘ |
| usedInProductLine |
NVIDIA GeForce 10 series
NERFINISHED
ⓘ
NVIDIA Quadro P series NERFINISHED ⓘ NVIDIA Tesla P series NERFINISHED ⓘ NVIDIA Titan X (Pascal) NERFINISHED ⓘ NVIDIA Titan Xp NERFINISHED ⓘ |
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 Pascal architecture Description of subject: NVIDIA Pascal architecture is a GPU microarchitecture from NVIDIA designed to deliver high-performance computing and deep learning acceleration through improved efficiency, memory bandwidth, and parallel processing capabilities.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
NVIDIA Tesla P4
this entity surface form:
NVIDIA Tesla P40
this entity surface form:
NVIDIA Tesla V100
this entity surface form:
NVIDIA Tesla V100
subject surface form:
Nvidia Maxwell
this entity surface form:
Nvidia Pascal