Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:computer
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:AVX-512_BW
|
| gptkbp:aims_to |
reduce latency
increase throughput |
| gptkbp:are |
cost-effective
scalable versatile used in agriculture programmable used in security systems used in environmental monitoring used in customer service used in gaming used in robotics used in telecommunications used in financial services used in logistics available in various configurations used in manufacturing used in healthcare applications used in supply chain management used in smart cities used in autonomous vehicles used in fraud detection used in energy management used in personalized marketing used in predictive maintenance |
| gptkbp:competes_with |
NVIDIAGP Us
|
| gptkbp:developed_by |
gptkb:Intel_Corporation
|
| gptkbp:enables |
real-time analytics
|
| gptkbp:enhances |
computer vision
data processing natural language processing |
| gptkbp:facilitates |
AI model training
AI inference |
| https://www.w3.org/2000/01/rdf-schema#label |
Intel's AI accelerators
|
| gptkbp:includes |
gptkb:Intel_Nervana
gptkb:Intel_Xeon_processors gptkb:Intel_Movidius |
| gptkbp:integrates_with |
gptkb:Cloud_Computing_Service
|
| gptkbp:is_designed_for |
gptkb:Artificial_Intelligence
|
| gptkbp:offers |
energy efficiency
|
| gptkbp:provides |
high performance
|
| gptkbp:supports |
deep learning
multiple frameworks |
| gptkbp:targets |
data centers
edge computing |
| gptkbp:used_in |
gptkb:software_framework
|
| gptkbp:utilizes |
FPGA technology
ASIC technology |