Gaudi
E170432
Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Gaudi canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1499780 — 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: Gaudi Context triple: [Habana Labs, product, Gaudi]
-
A.
Antoni Gaudí
Antoni Gaudí was a pioneering Spanish architect whose highly imaginative, organic, and symbolically rich buildings—especially in Barcelona—made him one of the most iconic figures of modernist architecture.
-
B.
Santiago Calatrava
Santiago Calatrava is a renowned Spanish architect, structural engineer, and sculptor known for his futuristic, sculptural buildings and bridges that often feature sweeping white forms and innovative engineering.
-
C.
Josep Lluís Sert
Josep Lluís Sert was a prominent 20th-century Spanish architect and urban planner known for his modernist designs and influential role in international architectural discourse.
-
D.
Rafael Moneo
Rafael Moneo is a renowned Spanish architect celebrated for his influential modern designs and thoughtful integration of contemporary architecture within historic urban contexts.
-
E.
Bernat Vilaplana
Bernat Vilaplana is a Spanish film editor known for his frequent collaborations with director Guillermo del Toro on acclaimed films such as Pan’s Labyrinth.
- 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: Gaudi Target entity description: Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
-
A.
Antoni Gaudí
Antoni Gaudí was a pioneering Spanish architect whose highly imaginative, organic, and symbolically rich buildings—especially in Barcelona—made him one of the most iconic figures of modernist architecture.
-
B.
Santiago Calatrava
Santiago Calatrava is a renowned Spanish architect, structural engineer, and sculptor known for his futuristic, sculptural buildings and bridges that often feature sweeping white forms and innovative engineering.
-
C.
Josep Lluís Sert
Josep Lluís Sert was a prominent 20th-century Spanish architect and urban planner known for his modernist designs and influential role in international architectural discourse.
-
D.
Rafael Moneo
Rafael Moneo is a renowned Spanish architect celebrated for his influential modern designs and thoughtful integration of contemporary architecture within historic urban contexts.
-
E.
Bernat Vilaplana
Bernat Vilaplana is a Spanish film editor known for his frequent collaborations with director Guillermo del Toro on acclaimed films such as Pan’s Labyrinth.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
AI training processor
ⓘ
deep learning accelerator ⓘ |
| announcedAfter | Habana Goya ⓘ |
| announcedBy | Habana Labs ⓘ |
| architectureType | custom AI accelerator architecture ⓘ |
| belongsToProductFamily | Habana Gaudi family ⓘ |
| compatibleWith |
PyTorch
ⓘ
TensorFlow ⓘ |
| contrastedWith | Goya inference processor ⓘ |
| countryOfOrigin | Israel ⓘ |
| deploymentFormFactor |
PCIe card
ⓘ
mezzanine card ⓘ |
| designedFor |
AI training
ⓘ
data center deployment ⓘ deep learning workloads ⓘ |
| developer | Habana Labs ⓘ |
| feature |
integrated high-speed networking
ⓘ
on-chip networking fabric ⓘ support for standard frameworks via software stack ⓘ |
| focus |
cost efficiency
ⓘ
high performance ⓘ power efficiency ⓘ |
| hardwareCategory | accelerator card ⓘ |
| intendedEnvironment |
cloud infrastructure
ⓘ
server systems ⓘ |
| manufacturer | Habana Labs ⓘ |
| optimizationGoal |
scalability across multiple accelerators
ⓘ
throughput for large-scale training ⓘ |
| parentOrganization |
Intel
ⓘ
linked to:
Intel Corporation
|
| positionInProductLine | training-optimized processor ⓘ |
| primaryUseCase | neural network training ⓘ |
| softwareStack | SynapseAI ⓘ |
| successor |
Gaudi2
ⓘ
Gaudi3 ⓘ |
| supports |
BF16 precision
ⓘ
FP16 precision ⓘ INT8 operations ⓘ distributed training ⓘ mixed-precision training ⓘ training of convolutional neural networks ⓘ training of transformer models ⓘ |
| targetMarket |
cloud service providers
ⓘ
enterprise data centers ⓘ |
| useCase |
computer vision training workloads
ⓘ
natural language processing training workloads ⓘ recommendation system training workloads ⓘ |
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: Gaudi Description of subject: Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.