Statements (69)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Cloud_Computing_Service
|
gptkbp:aims_to |
Accelerate AI development
|
gptkbp:collaborated_with |
Research institutions
Technology partners |
gptkbp:developed_by |
gptkb:Graphcore
Agile methodologies |
gptkbp:enables |
High-performance computing
|
gptkbp:features |
Scalable architecture
|
https://www.w3.org/2000/01/rdf-schema#label |
Graphcore Cloud
|
gptkbp:integrates_with |
Existing workflows
|
gptkbp:is_accessible_by |
Web interface
|
gptkbp:is_aimed_at |
Large enterprises
Startups |
gptkbp:is_available_in |
Multiple regions
|
gptkbp:is_compatible_with |
Various data formats
|
gptkbp:is_designed_for |
Enterprise applications
|
gptkbp:is_documented_in |
Online resources
User manuals |
gptkbp:is_enhanced_by |
Machine learning algorithms
|
gptkbp:is_evaluated_by |
Performance metrics
Customer feedback Industry analysts |
gptkbp:is_integrated_with |
Cloud storage services
|
gptkbp:is_known_for |
Low latency
High throughput |
gptkbp:is_optimized_for |
Deep learning tasks
|
gptkbp:is_part_of |
AI cloud services market
Graphcore ecosystem |
gptkbp:is_promoted_by |
Conferences
Social media campaigns Webinars Graphcore marketing |
gptkbp:is_scalable |
Thousands of nodes
|
gptkbp:is_supported_by |
Community forums
Multiple operating systems Technical support team |
gptkbp:is_tested_for |
Beta users
|
gptkbp:is_used_by |
gptkb:physicist
Data scientists |
gptkbp:is_used_in |
Academic research
Commercial projects |
gptkbp:is_utilized_in |
Data analysis
Data preprocessing Educational purposes Training neural networks Collaborative research projects Performance benchmarking Model deployment Testing AI models Research experiments Simulation tasks Prototyping new algorithms |
gptkbp:marketed_as |
Next-generation cloud service
|
gptkbp:offers |
Managed services
Data storage solutions Flexible pricing models Customizable environments IPU-based infrastructure |
gptkbp:provides |
Real-time analytics
Collaborative tools AI and Machine Learning capabilities Support for model training |
gptkbp:security_features |
Advanced security protocols
|
gptkbp:supports |
gptkb:Graphics_Processing_Unit
gptkb:Py_Torch Large-scale models |
gptkbp:utilizes |
Graphcore IP Us
|
gptkbp:bfsParent |
gptkb:Graphcore
|
gptkbp:bfsLayer |
7
|