NVIDIA L40S
E803290
The NVIDIA L40S is a high-performance data center GPU optimized for AI inference, training, and graphics workloads, built on NVIDIA’s Ada Lovelace generation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| NVIDIA L40S canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9506167 — 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 L40S Context triple: [NVIDIA Ada Lovelace architecture, usedIn, NVIDIA L40S]
-
A.
NVIDIA A40
The NVIDIA A40 is a high-performance data center GPU designed for professional visualization, AI inference, and compute workloads, built on NVIDIA’s Ampere generation.
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B.
NVIDIA A30
The NVIDIA A30 is a data center GPU designed for accelerated computing workloads such as AI inference, training, and high-performance computing, offering a balance of performance and efficiency for enterprise deployments.
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C.
NVIDIA GeForce RTX 3050 Ti Laptop GPU
The NVIDIA GeForce RTX 3050 Ti Laptop GPU is a mid-range mobile graphics processor based on NVIDIA’s Ampere architecture, designed to deliver ray tracing and DLSS-accelerated gaming and creative performance in thin-and-light laptops.
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D.
NVIDIA RTX A6000
The NVIDIA RTX A6000 is a high-end professional graphics card designed for demanding workloads like AI, data science, and advanced 3D content creation.
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E.
NVIDIA Studio
NVIDIA Studio is a platform and suite of tools, drivers, and optimizations designed to enhance performance and reliability for creative and content creation workflows on NVIDIA GPUs.
- 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 L40S Target entity description: The NVIDIA L40S is a high-performance data center GPU optimized for AI inference, training, and graphics workloads, built on NVIDIA’s Ada Lovelace generation.
-
A.
NVIDIA A40
The NVIDIA A40 is a high-performance data center GPU designed for professional visualization, AI inference, and compute workloads, built on NVIDIA’s Ampere generation.
-
B.
NVIDIA A30
The NVIDIA A30 is a data center GPU designed for accelerated computing workloads such as AI inference, training, and high-performance computing, offering a balance of performance and efficiency for enterprise deployments.
-
C.
NVIDIA GeForce RTX 3050 Ti Laptop GPU
The NVIDIA GeForce RTX 3050 Ti Laptop GPU is a mid-range mobile graphics processor based on NVIDIA’s Ampere architecture, designed to deliver ray tracing and DLSS-accelerated gaming and creative performance in thin-and-light laptops.
-
D.
NVIDIA RTX A6000
The NVIDIA RTX A6000 is a high-end professional graphics card designed for demanding workloads like AI, data science, and advanced 3D content creation.
-
E.
NVIDIA Studio
NVIDIA Studio is a platform and suite of tools, drivers, and optimizations designed to enhance performance and reliability for creative and content creation workflows on NVIDIA GPUs.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
NVIDIA Ada Lovelace GPU
ⓘ
data center GPU ⓘ graphics processing unit ⓘ |
| architecture | Ada Lovelace NERFINISHED ⓘ |
| cooling | passive cooling ⓘ |
| family | NVIDIA L-series data center GPUs NERFINISHED ⓘ |
| formFactor | PCIe card ⓘ |
| manufacturer | NVIDIA NERFINISHED ⓘ |
| memoryType | GDDR6 ⓘ |
| optimizedFor |
generative AI workloads
ⓘ
high-throughput inference ⓘ mixed AI and graphics workloads ⓘ |
| precededBy | NVIDIA L40 NERFINISHED ⓘ |
| supports |
FP16 precision
ⓘ
FP8 precision ⓘ GPU virtualization ⓘ INT4 precision ⓘ INT8 precision ⓘ NVIDIA AI Enterprise NERFINISHED ⓘ NVIDIA CUDA NERFINISHED ⓘ NVIDIA NVDEC NERFINISHED ⓘ NVIDIA NVENC NERFINISHED ⓘ NVIDIA Omniverse NERFINISHED ⓘ NVIDIA RTX graphics NERFINISHED ⓘ NVIDIA TensorRT NERFINISHED ⓘ NVIDIA vGPU software NERFINISHED ⓘ PCIe Gen4 ⓘ TF32 precision ⓘ ray tracing ⓘ tensor operations ⓘ |
| supportsAPI |
CUDA
NERFINISHED
ⓘ
DirectX NERFINISHED ⓘ OpenCL NERFINISHED ⓘ OpenGL NERFINISHED ⓘ Vulkan NERFINISHED ⓘ |
| supportsFramework |
JAX
NERFINISHED
ⓘ
PyTorch NERFINISHED ⓘ TensorFlow NERFINISHED ⓘ |
| targetMarket | data centers ⓘ |
| targetWorkload |
AI inference
ⓘ
AI training ⓘ graphics ⓘ rendering ⓘ virtualization ⓘ |
| useCase |
computer-aided design
ⓘ
digital content creation ⓘ large language model inference ⓘ virtual desktop infrastructure ⓘ |
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 L40S Description of subject: The NVIDIA L40S is a high-performance data center GPU optimized for AI inference, training, and graphics workloads, built on NVIDIA’s Ada Lovelace generation.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.