Statements (68)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Performance_Monitoring
|
| gptkbp:aims_to |
standardize AI performance evaluation
|
| gptkbp:collaborated_with |
academic researchers
by multiple stakeholders by tech giants |
| gptkbp:developed_by |
gptkb:MLPerf
input from experts |
| gptkbp:encourages |
innovation in AI
|
| gptkbp:facilitates |
comparative analysis of AI systems
|
| gptkbp:first_released |
gptkb:2020
|
| gptkbp:focuses_on |
gptkb:machine_learning
|
| gptkbp:has_goal |
improve AI deployment
|
| https://www.w3.org/2000/01/rdf-schema#label |
MLPerf Edge
|
| gptkbp:includes |
inference benchmarks
training benchmarks |
| gptkbp:is_adopted_by |
academic institutions
|
| gptkbp:is_collaborative_with |
community-driven
open community effort |
| gptkbp:is_designed_for |
edge AI applications
|
| gptkbp:is_documented_in |
public reports
technical papers |
| gptkbp:is_evaluated_by |
gptkb:test_subjects
cloud environments industry standards real-world applications various environments various sectors real-world datasets benchmarking tools competitor benchmarks real-time scenarios |
| gptkbp:is_focused_on |
energy efficiency
real-time AI processing |
| gptkbp:is_influenced_by |
gptkb:MLPerf
|
| gptkbp:is_part_of |
gptkb:MLPerf_suite
AI benchmarking initiatives |
| gptkbp:is_promoted_by |
tech companies
AI research organizations |
| gptkbp:is_promoted_through |
workshops
conferences online platforms |
| gptkbp:is_recognized_as |
industry standard
|
| gptkbp:is_recognized_by |
AI community
|
| gptkbp:is_recognized_for |
its contributions to AI
|
| gptkbp:is_related_to |
AI performance benchmarking
|
| gptkbp:is_supported_by |
government initiatives
various organizations open-source tools industry partnerships hardware vendors |
| gptkbp:is_updated_by |
periodically
|
| gptkbp:is_used_by |
gptkb:researchers
industry professionals |
| gptkbp:is_used_for |
performance comparison
|
| gptkbp:is_utilized_by |
gptkb:developers
startups |
| gptkbp:is_utilized_for |
product development
|
| gptkbp:measures |
performance of edge AI systems
|
| gptkbp:performance |
AI inference tasks
AI model performance AI training tasks AI workloads on edge devices edge computing performance |
| gptkbp:provides |
performance metrics
|
| gptkbp:provides_guidance_on |
AI model optimization
|
| gptkbp:supports |
various hardware platforms
|
| gptkbp:bfsParent |
gptkb:MLPerf
|
| gptkbp:bfsLayer |
6
|