|
gptkbp:instance_of
|
gptkb:Company
|
|
gptkbp:developed_by
|
gptkb:Lyft
|
|
gptkbp:has_community
|
Active Community
|
|
gptkbp:has_documentation
|
Available Online
|
|
gptkbp:has_feature
|
Scheduling
Monitoring
Error Handling
Logging
Automatic Scaling
Multi-language support
Retry Mechanism
Extensible Plugin System
Rich UI
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Flyte Workflows
|
|
gptkbp:is_compatible_with
|
gptkb:AWS
gptkb:GCP
gptkb:Azure
|
|
gptkbp:is_effective_against
|
gptkb:theorem
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_part_of
|
gptkb:Flyte_Platform
|
|
gptkbp:is_scalable
|
gptkb:theorem
|
|
gptkbp:is_used_by
|
Data Scientists
Machine Learning Engineers
Data Engineers
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:operational_area
|
gptkb:theorem
|
|
gptkbp:provides
|
Data Provenance
Versioning
Dynamic Workflows
Task Orchestration
|
|
gptkbp:reliability
|
gptkb:theorem
|
|
gptkbp:suitable_for
|
Collaborative Workflows
Complex Workflows
Large Scale Workflows
Production Workflows
Research Workflows
|
|
gptkbp:supports
|
gptkb:physicist
gptkb:software
gptkb:software_framework
Custom Resource Definitions
Parameterization
Data Versioning
Secrets Management
Task Dependencies
CI/ CD Integration
Containerized Workflows
|
|
gptkbp:user_experience
|
gptkb:theorem
|
|
gptkbp:uses
|
gptkb:fortification
|
|
gptkbp:bfsParent
|
gptkb:DGX_A100
|
|
gptkbp:bfsLayer
|
5
|