NVIDIA A30
E793682
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| NVIDIA A30 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9323339 — 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 A30 Context triple: [NVIDIA Ampere architecture, notableGPU, NVIDIA A30]
-
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 A100
The NVIDIA A100 is a high-performance data center GPU designed for AI, high-performance computing, and data analytics workloads, featuring advanced Tensor Core acceleration.
-
C.
GeForce 30 Series
The GeForce 30 Series is NVIDIA’s generation of consumer graphics cards based on the Ampere architecture, known for significant performance gains and advanced ray tracing and AI features for gaming and creative workloads.
-
D.
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.
-
E.
GeForce 300 Series
The GeForce 300 Series is a family of entry-level and OEM-focused graphics cards by NVIDIA, largely based on rebranded GPUs from the previous GeForce 200 Series generation.
- 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 A30 Target entity description: 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.
-
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 A100
The NVIDIA A100 is a high-performance data center GPU designed for AI, high-performance computing, and data analytics workloads, featuring advanced Tensor Core acceleration.
-
C.
GeForce 30 Series
The GeForce 30 Series is NVIDIA’s generation of consumer graphics cards based on the Ampere architecture, known for significant performance gains and advanced ray tracing and AI features for gaming and creative workloads.
-
D.
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.
-
E.
GeForce 300 Series
The GeForce 300 Series is a family of entry-level and OEM-focused graphics cards by NVIDIA, largely based on rebranded GPUs from the previous GeForce 200 Series generation.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
NVIDIA GPU
ⓘ
data center GPU ⓘ |
| architecture | Ampere NERFINISHED ⓘ |
| compatibleWith |
NVIDIA CUDA Toolkit
NERFINISHED
ⓘ
NVIDIA NCCL NERFINISHED ⓘ NVIDIA cuDNN NERFINISHED ⓘ ONNX Runtime NERFINISHED ⓘ PyTorch NERFINISHED ⓘ TensorFlow NERFINISHED ⓘ major deep learning frameworks ⓘ |
| deploymentModel |
cloud data centers
ⓘ
on-premises data centers ⓘ |
| designedFor |
AI inference
ⓘ
AI training ⓘ high-performance computing ⓘ |
| formFactor | PCIe card ⓘ |
| manufacturer | NVIDIA NERFINISHED ⓘ |
| optimizedFor |
TCO efficiency
ⓘ
performance per watt ⓘ |
| segment |
AI infrastructure
ⓘ
HPC infrastructure ⓘ accelerated computing ⓘ |
| supports |
CUDA
NERFINISHED
ⓘ
NVIDIA AI Enterprise NERFINISHED ⓘ NVIDIA MIG NERFINISHED ⓘ NVIDIA NVLink (via compatible systems, if applicable) NERFINISHED ⓘ PCIe 4.0 ⓘ Tensor operations ⓘ TensorRT NERFINISHED ⓘ data center management tools from NVIDIA ⓘ enterprise-grade reliability features ⓘ mixed-precision computing ⓘ multi-instance GPU ⓘ secure and isolated GPU partitions via MIG ⓘ virtualization ⓘ |
| targetMarket |
data centers
ⓘ
enterprise computing ⓘ |
| useCase |
HPC simulations
ⓘ
cloud AI services ⓘ computer vision inference ⓘ data analytics acceleration ⓘ enterprise AI workloads ⓘ recommendation systems ⓘ |
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 A30 Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.