Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:technology
|
| gptkbp:benefits |
predictive analytics
real-time analytics large-scale data processing |
| gptkbp:developed_by |
gptkb:Intel_Corporation
|
| gptkbp:enables |
faster model training
|
| https://www.w3.org/2000/01/rdf-schema#label |
Intel DL Boost
|
| gptkbp:is_available_in |
gptkb:Intel_processors
|
| gptkbp:is_compatible_with |
gptkb:Intel_Xeon_processors
gptkb:Graphics_Processing_Unit gptkb:Intel_Core_processors gptkb:CEO gptkb:Py_Torch |
| gptkbp:is_designed_for |
deep learning workloads
|
| gptkbp:is_designed_to |
reduce power consumption
accelerate deep learning performance |
| gptkbp:is_implemented_in |
software frameworks
|
| gptkbp:is_integrated_with |
gptkb:Intel_one_API
AI frameworks AI model deployment tools |
| gptkbp:is_optimized_for |
AI applications
|
| gptkbp:is_part_of |
gptkb:Intel_architecture
Intel AI portfolio AI hardware solutions Intel's AI strategy Intel's hardware acceleration technologies |
| gptkbp:is_promoted_by |
gptkb:Research_Institute
enterprise AI solutions Intel marketing |
| gptkbp:is_related_to |
AI model optimization
|
| gptkbp:is_supported_by |
Intel's research initiatives
Intel software development tools Intel AI developers |
| gptkbp:is_used_in |
gptkb:Cloud_Computing_Service
gptkb:engine data centers edge computing financial services AI applications |
| gptkbp:is_utilized_in |
gptkb:robot
natural language processing computer vision applications machine learning engineers |
| gptkbp:key |
AI infrastructure
Intel architecture advancements |
| gptkbp:performance |
machine learning tasks
AI inference AI inference tasks |
| gptkbp:provides |
hardware acceleration
|
| gptkbp:supports |
mixed precision training
IN T8 precision |
| gptkbp:utilizes |
vector neural network instructions
|
| gptkbp:bfsParent |
gptkb:Intel_Xeon_Scalable_processors
|
| gptkbp:bfsLayer |
5
|