|
gptkbp:instance_of
|
gptkb:Performance_Monitoring
|
|
gptkbp:aims_to
|
foster innovation
provide transparency
improve AI performance
|
|
gptkbp:competes_with
|
other benchmarking suites
|
|
gptkbp:developed_by
|
gptkb:MLCommons
|
|
gptkbp:encourages
|
hardware and software optimization
|
|
gptkbp:evaluates
|
gptkb:AI_technology
|
|
gptkbp:first_released
|
gptkb:2018
|
|
gptkbp:focuses_on
|
machine learning performance
|
|
gptkbp:has_category
|
open division
closed division
edge division
datacenter division
|
|
gptkbp:has_impact_on
|
gptkb:Software_Development
hardware development
AI research community
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
MLPerf suite
|
|
gptkbp:includes
|
inference benchmarks
training benchmarks
|
|
gptkbp:is_available_in
|
multiple languages
|
|
gptkbp:is_collaborative_with
|
gptkb:true
|
|
gptkbp:is_evaluated_by
|
independent reviewers
|
|
gptkbp:is_part_of
|
gptkb:MLCommons_initiative
|
|
gptkbp:is_supported_by
|
major tech companies
|
|
gptkbp:is_updated_by
|
gptkb:true
|
|
gptkbp:is_used_in
|
gptkb:Publications
industry reports
|
|
gptkbp:latest_version
|
gptkb:2.0
|
|
gptkbp:performance
|
gptkb:mobile_devices
gptkb:ASICs
gptkb:TPUs
gptkb:cloud_services
gptkb:AI_technology
CPUs
FPGAs
GPUs
cloud-native applications
data centers
embedded systems
personal computers
distributed systems
hybrid systems
supercomputers
workstations
AI workloads
AI systems
edge devices
accelerators
AI frameworks
AI chips
|
|
gptkbp:provides
|
standardized performance metrics
|
|
gptkbp:result
|
gptkb:academic_research
commercial products
|
|
gptkbp:supports
|
various hardware platforms
|
|
gptkbp:used_by
|
gptkb:Industry
gptkb:researchers
|
|
gptkbp:bfsParent
|
gptkb:MLPerf_Cloud
gptkb:MLPerf_Edge
gptkb:MLPerf_HPC
|
|
gptkbp:bfsLayer
|
7
|