HBM2
E1033643
HBM2 is a high-bandwidth second-generation stacked memory technology used in advanced GPUs and accelerators to provide very fast, energy-efficient data access.
All labels observed (1)
| Label | Occurrences |
|---|---|
| HBM2 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13320128 — 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: HBM2 Context triple: [AMD Instinct, supports, HBM2]
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A.
HM-B
HM-B is the stock ticker symbol for H&M’s publicly traded shares on the Nasdaq Stockholm exchange.
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B.
M2HB
The M2HB is a heavy-barrel variant of the Browning .50 caliber machine gun, widely used for its durability and sustained fire capability in ground, vehicle, and naval mounts.
-
C.
BxM2
BxM2 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
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D.
HM7B
The HM7B is a European cryogenic rocket engine that powers the upper stages of Ariane launch vehicles, providing precise orbital insertion using liquid hydrogen and liquid oxygen propellants.
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E.
BHB
BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
- 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: HBM2 Target entity description: HBM2 is a high-bandwidth second-generation stacked memory technology used in advanced GPUs and accelerators to provide very fast, energy-efficient data access.
-
A.
HM-B
HM-B is the stock ticker symbol for H&M’s publicly traded shares on the Nasdaq Stockholm exchange.
-
B.
M2HB
The M2HB is a heavy-barrel variant of the Browning .50 caliber machine gun, widely used for its durability and sustained fire capability in ground, vehicle, and naval mounts.
-
C.
BxM2
BxM2 is an express bus route in New York City that provides commuter service between the Bronx and Manhattan.
-
D.
HM7B
The HM7B is a European cryogenic rocket engine that powers the upper stages of Ariane launch vehicles, providing precise orbital insertion using liquid hydrogen and liquid oxygen propellants.
-
E.
BHB
BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
JEDEC memory standard
ⓘ
high-bandwidth memory standard ⓘ stacked DRAM technology ⓘ |
| applicationDomain |
graphics rendering
ⓘ
high‑performance data analytics ⓘ machine learning ⓘ scientific computing ⓘ |
| comparedTo | GDDR5 NERFINISHED ⓘ |
| dataRatePerPin | up to 2 Gbit/s per pin ⓘ |
| follows | HBM NERFINISHED ⓘ |
| generation | second generation HBM ⓘ |
| hasProperty |
3D stacked
ⓘ
energy efficient ⓘ high bandwidth ⓘ low power consumption ⓘ short interconnect distance to processor ⓘ wide I/O interface ⓘ |
| interconnectTechnology |
TSVs
ⓘ
through‑silicon vias ⓘ |
| introducedAround | 2016 ⓘ |
| maxBandwidthPerStack | up to 256 GB/s ⓘ |
| maxCapacityPerStack | up to 8 GB ⓘ |
| memoryType | DRAM ⓘ |
| offers |
higher bandwidth than GDDR5
ⓘ
lower power per bit than GDDR5 ⓘ |
| optimizedFor |
high memory bandwidth workloads
ⓘ
parallel processing ⓘ |
| packaging |
2.5D integration
ⓘ
silicon interposer ⓘ |
| provides |
high memory bandwidth close to compute die
ⓘ
very fast data access ⓘ |
| stackHeight | up to 8 DRAM dies ⓘ |
| standardizedBy | JEDEC NERFINISHED ⓘ |
| successor |
HBM2E
NERFINISHED
ⓘ
HBM3 NERFINISHED ⓘ |
| typicalBusWidthPerStack | 1024‑bit GENERATED ⓘ |
| usedBy |
AI accelerator cards
ⓘ
AMD GPUs NERFINISHED ⓘ NVIDIA GPUs NERFINISHED ⓘ |
| usedIn |
AI accelerators
ⓘ
GPUs ⓘ accelerators ⓘ data center accelerators ⓘ graphics processing units ⓘ high‑performance computing systems ⓘ networking equipment ⓘ supercomputers ⓘ |
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: HBM2 Description of subject: HBM2 is a high-bandwidth second-generation stacked memory technology used in advanced GPUs and accelerators to provide very fast, energy-efficient data access.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.