NVIDIA GeForce RTX 4090
E807201
The NVIDIA GeForce RTX 4090 is a flagship high-end gaming and content-creation graphics card known for its exceptional performance, advanced ray tracing, and AI-accelerated features.
All labels observed (1)
| Label | Occurrences |
|---|---|
| NVIDIA GeForce RTX 4090 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9506160 — 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 GeForce RTX 4090 Context triple: [NVIDIA Ada Lovelace architecture, usedIn, NVIDIA GeForce RTX 4090]
-
A.
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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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.
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.
-
D.
RTX
RTX is a rock band formed by Jennifer Herrema after the breakup of the experimental rock duo Royal Trux.
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E.
RTX
RTX is a major American aerospace and defense company formed from the merger of Raytheon Company and United Technologies Corporation, known for its advanced military, aviation, and cybersecurity technologies.
- 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 GeForce RTX 4090 Target entity description: The NVIDIA GeForce RTX 4090 is a flagship high-end gaming and content-creation graphics card known for its exceptional performance, advanced ray tracing, and AI-accelerated features.
-
A.
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.
-
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.
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.
-
D.
RTX
RTX is a rock band formed by Jennifer Herrema after the breakup of the experimental rock duo Royal Trux.
-
E.
RTX
RTX is a major American aerospace and defense company formed from the merger of Raytheon Company and United Technologies Corporation, known for its advanced military, aviation, and cybersecurity technologies.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | graphics processing unit ⓘ |
| announcementDate | 2022-09-20 ⓘ |
| architecture | Ada Lovelace NERFINISHED ⓘ |
| baseClockMHz | 2235 ⓘ |
| boostClockMHz | 2520 ⓘ |
| brand | GeForce NERFINISHED ⓘ |
| codename | AD102 NERFINISHED ⓘ |
| cudaCores | 16384 ⓘ |
| directXSupport | DirectX 12 Ultimate NERFINISHED ⓘ |
| launchDate | 2022-10-12 ⓘ |
| manufacturer | NVIDIA NERFINISHED ⓘ |
| maxDigitalResolution | 7680x4320 ⓘ |
| maxDisplayCount | 4 ⓘ |
| memoryBandwidthGBps | 1008 ⓘ |
| memoryBusWidthBits | 384 ⓘ |
| memorySizeGB | 24 ⓘ |
| memoryType | GDDR6X ⓘ |
| openclSupport | OpenCL 3.0 NERFINISHED ⓘ |
| openglSupport | OpenGL 4.6 NERFINISHED ⓘ |
| pcieInterface | PCIe 4.0 x16 ⓘ |
| positionInLineup | flagship model of GeForce RTX 40 Series ⓘ |
| powerConnector | 16-pin 12VHPWR ⓘ |
| processNode | TSMC 4N NERFINISHED ⓘ |
| recommendedPsuWatts | 850 ⓘ |
| rtCores | 3rd generation ⓘ |
| series | GeForce RTX 40 Series NERFINISHED ⓘ |
| supportsAiAcceleration | true GENERATED ⓘ |
| supportsAnsel | true GENERATED ⓘ |
| supportsAv1Encode | true GENERATED ⓘ |
| supportsBroadcastFeatures | NVIDIA Broadcast GENERATED ⓘ |
| supportsDisplayPort | DisplayPort 1.4a GENERATED ⓘ |
| supportsDlss | DLSS 3 GENERATED ⓘ |
| supportsHardwareAcceleratedRayTracing | true ⓘ |
| supportsHdmi | HDMI 2.1 GENERATED ⓘ |
| supportsMultiMonitor | true GENERATED ⓘ |
| supportsNvenc | 8th generation NVENC encoder GENERATED ⓘ |
| supportsNvlink | false GENERATED ⓘ |
| supportsRayTracing | true ⓘ |
| supportsReflex | true GENERATED ⓘ |
| supportsResizableBar | true GENERATED ⓘ |
| supportsStudioDrivers | NVIDIA Studio GENERATED ⓘ |
| supportsVirtualLink | false GENERATED ⓘ |
| targetMarket |
content creators
ⓘ
enthusiast gamers ⓘ |
| tensorCores | 4th generation ⓘ |
| tgpWatts | 450 ⓘ |
| transistorCount | 76300000000 ⓘ |
| vulkanSupport | Vulkan 1.3 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 GeForce RTX 4090 Description of subject: The NVIDIA GeForce RTX 4090 is a flagship high-end gaming and content-creation graphics card known for its exceptional performance, advanced ray tracing, and AI-accelerated features.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.