Statements (86)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cloud_services
|
| gptkbp:aims_to |
accelerate AI development
|
| gptkbp:allows |
sharing of AI assets
|
| gptkbp:developed_by |
gptkb:Google
|
| gptkbp:enables |
model deployment
model training |
| gptkbp:facilitates |
community engagement
experiment tracking |
| gptkbp:features |
notebooks
|
| https://www.w3.org/2000/01/rdf-schema#label |
Google Cloud AI Hub
|
| gptkbp:includes |
community contributions
datasets |
| gptkbp:integrates_with |
gptkb:Google_Cloud_Platform
|
| gptkbp:is_accessible_by |
gptkb:API
web interface command line interface |
| gptkbp:is_available_for |
various industries
individual developers enterprise users |
| gptkbp:is_available_in |
multiple regions
|
| gptkbp:is_compatible_with |
gptkb:Kubernetes
gptkb:Docker |
| gptkbp:is_designed_for |
research institutions
startups enterprise users |
| gptkbp:is_documented_in |
Google Cloud documentation
|
| gptkbp:is_evaluated_by |
industry analysts
|
| gptkbp:is_integrated_with |
gptkb:Big_Query
gptkb:Dataproc gptkb:cloud_storage gptkb:AI_technology Dataflow |
| gptkbp:is_part_of |
Google Cloud ecosystem
AI and machine learning solutions AI Hub community AI and machine learning landscape |
| gptkbp:is_promoted_by |
Google marketing
|
| gptkbp:is_promoted_through |
workshops
conferences online courses webinars |
| gptkbp:is_recognized_by |
gptkb:award
industry leaders |
| gptkbp:is_supported_by |
community forums
user groups Google Cloud support team |
| gptkbp:is_used_by |
data scientists
machine learning engineers |
| gptkbp:is_used_for |
data preprocessing
collaborative projects model evaluation research purposes commercial applications experiment tracking model optimization |
| gptkbp:is_utilized_by |
large enterprises
startups |
| gptkbp:launched_in |
gptkb:2018
gptkb:2019 |
| gptkbp:offers |
community forums
data visualization tools scalability options workshops and training sessions custom model training pre-trained models billing options |
| gptkbp:provides |
monitoring tools
scalability options security features tutorials and documentation APIs for integration model evaluation tools user management features model monitoring tools AI and machine learning resources |
| gptkbp:provides_access_to |
machine learning frameworks
|
| gptkbp:support |
gptkb:Tensor_Flow
gptkb:Py_Torch |
| gptkbp:supports |
data preprocessing
data visualization real-time data processing multi-cloud strategies collaboration among data scientists version control for models |
| gptkbp:bfsParent |
gptkb:Google
|
| gptkbp:bfsLayer |
4
|