Application & model
Define inference requirements and workload characteristics.
FLAGSHIP PROJECT / 02
Connect compute to the demands of AI.
Explore how applications, models and compute resources connect through an AI inference runtime.
RuntimeInferenceCompute
XPU 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
FROM TECHNOLOGY TO APPLICATION
The workload is where
the design starts.
KXR focuses on AI inference runtime across different hardware platforms. A relevant evaluation starts with the model, workload characteristics and compute resources involved.
Runtime layer
Explore the connection between applications, models and compute resources.
Resources & evaluation
Evaluate hardware choices under clearly specified conditions.
EXPLORE TOGETHER
What AI problem
are you working on?
Start with your context. Evaluation scope, integration possibilities and acceptance criteria are discussed for the specific problem.
Discuss an applicationDiscuss the technologySTART WITH A REAL PROBLEM