Statements (64)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:computer
|
| gptkbp:architecture |
gptkb:POWER9
|
| gptkbp:availability |
yes
|
| gptkbp:cooling_system |
advanced cooling technology
|
| gptkbp:form_factor |
gptkb:Blade
rack-mounted modular 1 U, 2 U, and 4 U |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM System p9
|
| gptkbp:is_compatible_with |
gptkb:IBM_Cloud
|
| gptkbp:is_scalable |
high
|
| gptkbp:management |
gptkb:IBM_Systems_Director
|
| gptkbp:manufacturer |
gptkb:IBM
|
| gptkbp:market_segment |
gptkb:cloud_computing
gptkb:research_center enterprise applications high-performance computing |
| gptkbp:memory_type |
up to 4 TB
|
| gptkbp:network |
10 Gb E and 25 Gb E
|
| gptkbp:operating_system |
gptkb:Linux
gptkb:AIX |
| gptkbp:power_consumption |
varies by configuration
|
| gptkbp:power_supply |
redundant power supplies
|
| gptkbp:processor |
gptkb:POWER9_processor
|
| gptkbp:release_date |
gptkb:2017
|
| gptkbp:security_features |
gptkb:IBM_Power_SC
|
| gptkbp:storage |
HDD and SSD
|
| gptkbp:support |
gptkb:Kubernetes
gptkb:IBM_Watson gptkb:SAP_HANA gptkb:machine_learning gptkb:Docker disaster recovery SQL databases business intelligence data analytics data governance data integration data migration data security data visualization deep learning microservices virtual machines data science big data analytics containerization stream processing data lakes data warehousing backup solutions AI workloads customer relationship management (CRM) enterprise resource planning (ERP) blockchain applications in-memory databases data analytics platforms high-performance databases data processing frameworks No SQL databases |
| gptkbp:target_market |
enterprise
|
| gptkbp:virtualization_support |
yes
|
| gptkbp:bfsParent |
gptkb:IBM_System_p
|
| gptkbp:bfsLayer |
5
|