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Getting Started

OverviewKubernetes InstallVM/Server Install(K3S)Helm On-premises InstallHost/GuestVM InstallTensorFusion Architecture

Application Operations

Create WorkloadConfigure AutoScalingMigrate Existing WorkloadBest Practices

Customize AI Infra

Production-Grade DeploymentConfig QoS and BillingBring Your Own CloudManaging License

Maintenance & Optimization

Upgrade ComponentsSetup AlertsGPU Live MigrationPreload ModelOptimize GPU Efficiency

Troubleshooting

HandbookTracing/ProfilingQuery Metrics & Logs

Reference

Comparison

Compare with NVIDIA vGPUCompare with MIG/MPSCompare with Run.AICompare with HAMi

SchedulingConfigTemplate

SchedulingConfigTemplate is the Schema for the schedulingconfigtemplates API.

SchedulingConfigTemplate is the Schema for the schedulingconfigtemplates API.

Resource Information

FieldValue
API Versiontensor-fusion.ai/v1
KindSchedulingConfigTemplate
ScopeCluster

Spec

Place the workload to right nodes and scale smart.

PropertyTypeDescription
autoScalingobjectscale the workload based on the usage and traffic
hypervisorobjectsingle GPU device multi-process queuing and fair scheduling with QoS constraint
placement *objectplace the client or worker to best matched nodes
reBalancerobjectavoid hot GPU devices and continuously balance the workload implemented by trigger a simulation scheduling and advise better GPU nodes for scheduler

Status

SchedulingConfigTemplateStatus defines the observed state of SchedulingConfigTemplate.

Table of Contents

Resource Information
Spec
Status