Google TPUs

GPTKB entity

Statements (57)
Predicate Object
gptkbp:instanceOf gptkb:Graphics_Processing_Unit
gptkbp:architecturalStyle gptkb:application-specific_integrated_circuit_(ASIC)
gptkbp:availableIn cloud services
gptkbp:competesWith NVIDIA GPUs
gptkbp:designedBy gptkb:Google
gptkbp:enables large-scale AI models
gptkbp:features high memory bandwidth
gptkbp:firstIntroduced 2016
gptkbp:has multiple cores
https://www.w3.org/2000/01/rdf-schema#label Google TPUs
gptkbp:includes gptkb:TPU_v3
TPU v2
gptkbp:integratesWith gptkb:Google_Cloud_Platform
gptkbp:isAvailableIn commercial use
research purposes
various configurations
gptkbp:isCompatibleWith gptkb:Keras
gptkbp:isDesignedFor high-performance computing
gptkbp:isIntegratedWith AI frameworks
gptkbp:isKnownFor energy efficiency
gptkbp:isOptimizedFor large datasets
gptkbp:isPartOf AI hardware accelerators
Google_AI_ecosystem
gptkbp:isSuitableFor thousands of chips
gptkbp:isSupportedBy Google's_infrastructure
gptkbp:isUsedFor data centers
gptkbp:isUsedIn computer vision
image recognition
predictive analytics
reinforcement learning
speech recognition
recommendation systems
gptkbp:isUtilizedFor gptkb:Google_Search
gptkb:YouTube
gptkb:Google_Translate
gptkb:Waymo
Google Photos
gptkbp:isUtilizedIn natural language processing
gptkbp:isVisitedBy cloud computing
enterprise applications
big data processing
cloud-native applications
real-time analytics
edge computing
AI research
AI model training
automated machine learning
data science workflows
AI model inference
gptkbp:offers low latency
gptkbp:performance deep learning
high throughput
gptkbp:provides accelerated training
gptkbp:providesSupportFor matrix operations
gptkbp:supports TensorFlow
gptkbp:usedBy research institutions
gptkbp:usedFor machine learning