Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cloud_services
|
| gptkbp:allows |
custom VM images
|
| gptkbp:can_be_configured_for |
high availability
|
| gptkbp:can_be_used_for |
image processing
data processing financial modeling video processing scientific simulations large-scale parallel and high-performance computing genomics processing rendering 3 D graphics |
| gptkbp:can_be_used_with |
gptkb:Azure_Machine_Learning
|
| gptkbp:can_handle |
thousands of compute nodes
|
| gptkbp:enables |
containerized workloads
|
| https://www.w3.org/2000/01/rdf-schema#label |
Azure Batch
|
| gptkbp:integrates_with |
gptkb:Azure_Storage
|
| gptkbp:is_accessible_by |
gptkb:Azure_Portal
REST API |
| gptkbp:is_available_in |
multiple Azure regions
|
| gptkbp:is_compatible_with |
gptkb:Azure_Functions
|
| gptkbp:is_integrated_with |
gptkb:Azure_Dev_Ops
|
| gptkbp:is_managed_by |
gptkb:Microsoft
|
| gptkbp:is_optimized_for |
compute-intensive tasks
|
| gptkbp:is_part_of |
gptkb:Microsoft_Azure
Azure ecosystem |
| gptkbp:is_used_by |
developers and data scientists
|
| gptkbp:offers |
monitoring and logging features
task dependencies auto-scaling capabilities pricing based on usage |
| gptkbp:provides |
job scheduling
resource allocation resource management job scheduling policies task management task retries user-defined metadata API for job and task management job scheduling flexibility |
| gptkbp:suitable_for |
rendering and transcoding tasks
|
| gptkbp:supports |
gptkb:Android
API management Docker containers data analytics machine learning workloads parallel processing multi-tenant environments virtual networks Python SDK data transformation tasks high throughput computing Azure Active Directory authentication Windows and Linux environments batch processing workloads custom scheduling algorithms |
| gptkbp:bfsParent |
gptkb:Azure_Blockchain_Service
gptkb:Microsoft_Cloud |
| gptkbp:bfsLayer |
5
|