Habana Goya
E660954
Habana Goya is a graphics processing unit (GPU) architecture developed by Habana Labs, primarily designed to accelerate deep learning inference workloads in data centers.
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
GPU architecture
ⓘ
deep learning accelerator ⓘ |
| architectureType | graphics processing unit architecture ⓘ |
| belongsToIndustry |
artificial intelligence hardware
ⓘ
semiconductor industry ⓘ |
| contrastWith | Habana Gaudi training architecture ⓘ |
| deploymentModel |
PCIe accelerator cards
ⓘ
server integration ⓘ |
| designedFor |
data center workloads
ⓘ
deep learning inference ⓘ |
| developer | Habana Labs NERFINISHED ⓘ |
| hasFeature |
hardware acceleration for inference
ⓘ
power-efficient inference processing ⓘ scalability for large deployments ⓘ |
| manufacturer | Habana Labs NERFINISHED ⓘ |
| marketSegment | data center AI acceleration ⓘ |
| optimizationTarget |
high-throughput inference
ⓘ
low-latency inference ⓘ |
| productType | inference accelerator ⓘ |
| relatedTo | Habana Gaudi NERFINISHED ⓘ |
| supports |
common deep learning frameworks
ⓘ
neural network inference ⓘ |
| targetEnvironment |
cloud data centers
ⓘ
data centers ⓘ |
| targetWorkload |
computer vision inference
ⓘ
deep neural networks ⓘ natural language processing inference ⓘ |
| useCase |
AI inference at scale
ⓘ
cloud inference services ⓘ enterprise AI inference ⓘ |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.