Keep the source in view
Knowledge belongs alongside evidence and provenance.
TECHNOLOGY
Understand the knowledge.
Understand how AI runs.
Go deeper into two technology directions at KeviqLabs: building context from knowledge and connecting AI applications to compute resources.
HOW WE APPROACH THE WORK
Technology should
be explainable.
From knowledge provenance to the use of compute, start with the right questions and evaluate in a real context.
Evaluate for the workload
Runtime performance needs to be considered with the model, hardware and measurement conditions.
People retain authority
Automation acts within granted authority; operational systems retain authority over their records.
01 / KNOWLEDGE FACTORY
From information
to context.
Select a source in the illustration to explore the roles of knowledge, evidence and provenance.
Explore Knowledge FactoryKNOWLEDGE FACTORYKF / 01
KNOWLEDGE + CONTEXTKnowledge Factory
Start with a procedure01
Connect instructions and the origin of information with the context of the work at hand.
Source → Context → Work
Concept illustration · Select a component to explore
02 / KEVIQ XPU RUNTIME
From AI applications
to compute foundations.
Choose a resource type to explore its conceptual role. Support is determined for the specific model, hardware and evaluation environment.
Explore XPU RuntimeXPU RUNTIMEKXR / 02
AI APPLICATIONModel + Workload
KXR
KEVIQ XPU RUNTIMEInference runtime layer
CPU: a starting point for examining how a workload uses general-purpose compute.
Concept illustration · Select a component to explore
Choosing an AI foundation?
Start with the workload, model and compute resources the problem calls for.
Discuss the technologySTART WITH A REAL PROBLEM