# OnCo record mixed-precision-gpu (term). Data CC BY-NC 4.0, attribute "Data from OnCo (onco.cc)". Whole corpus: https://onco.cc/api/v1/onco.nt
@prefix schema: <https://schema.org/> .
@prefix onco: <https://onco.cc/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://onco.cc/terms/mixed-precision-gpu/>
  a schema:DefinedTerm ;
  onco:kind "term" ;
  schema:identifier "mixed-precision-gpu" ;
  schema:name "GPU training and mixed precision"@en ;
  schema:alternateName "mixed precision"@en, "mixed-precision training"@en, "bfloat16"@en, "fp16 training"@en, "GPU training"@en, "A100"@en, "H100"@en, "CUDA"@en, "MPS backend"@en, "Apple silicon MPS"@en ;
  schema:description "Foundation models are trained on graphics processors, and mixed precision stores most numbers in 16-bit floats to halve memory and double speed; a laptop-class chip can fine-tune small models but pretraining at scale waits for a data-centre GPU."@en ;
  schema:url <https://onco.cc/terms/mixed-precision-gpu/> ;
  schema:dateModified "2026-09-24"^^xsd:date ;
  schema:sameAs <https://en.wikipedia.org/wiki/Mixed-precision_arithmetic> ;
  schema:citation <https://en.wikipedia.org/wiki/Deep_learning>, <https://en.wikipedia.org/wiki/Mixed-precision_arithmetic> ;
  onco:tag "cansim-terms" ;
  onco:related <https://onco.cc/terms/cancer-ai-vocabulary/> ;
  onco:technologies <https://onco.cc/technologies/ai-compute-platforms/> ;
  onco:terms <https://onco.cc/terms/foundation-model/>, <https://onco.cc/terms/fine-tuning-vs-frozen/> .