Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:microprocessor
|
| gptkbp:architectural_style |
Da Vinci architecture
|
| gptkbp:competes_with |
NVIDIAGP Us
Google TP Us |
| gptkbp:developed_by |
gptkb:Huawei
|
| gptkbp:features |
energy efficiency
high throughput multi-core architecture |
| gptkbp:has |
low latency
security features advanced cooling solutions high computational power high memory bandwidth |
| https://www.w3.org/2000/01/rdf-schema#label |
Ascend AI processor
|
| gptkbp:is_aimed_at |
gptkb:software
enterprise customers research institutions |
| gptkbp:is_available_in |
various configurations
|
| gptkbp:is_compatible_with |
various AI frameworks
|
| gptkbp:is_designed_for |
gptkb:computer
data centers edge computing |
| gptkbp:is_integrated_with |
Huawei Cloud services
Huawei AI solutions |
| gptkbp:is_optimized_for |
AI workloads
|
| gptkbp:is_part_of |
AI strategy of Huawei
Huawei Ascend series |
| gptkbp:is_promoted_by |
smart manufacturing
smart transportation smart healthcare smart finance |
| gptkbp:is_supported_by |
Huawei software ecosystem
|
| gptkbp:is_used_in |
gptkb:financial_services_company
autonomous driving smart cities retail analytics healthcare applications |
| gptkbp:manufacturer |
gptkb:Huawei_Technologies_Co.,_Ltd.
|
| gptkbp:marketed_as |
AI computing solution
|
| gptkbp:performance |
high performance for AI workloads
|
| gptkbp:provides |
flexibility
real-time processing scalability |
| gptkbp:released_in |
gptkb:2019
|
| gptkbp:supports |
gptkb:software_framework
data analysis deep learning AI inference AI training |
| gptkbp:targets |
Artificial Intelligence applications
|
| gptkbp:uses |
Tensor processing
|
| gptkbp:utilizes |
gptkb:microprocessor
AI algorithms natural language processing machine vision |
| gptkbp:bfsParent |
gptkb:HUAWEI
|
| gptkbp:bfsLayer |
7
|