Insufficient allocatable CPU
The cluster may have physical CPU available while Kubernetes reservations and running workloads leave too few allocatable cores.
An Akash provider can advertise compatible resources but still reject a workload when current deployments, Kubernetes reservations or stale inventory leave too little allocatable capacity.
Run the free provider checkThe provider must have enough currently allocatable CPU, memory, storage and specialized hardware to satisfy the complete deployment request.
The cluster may have physical CPU available while Kubernetes reservations and running workloads leave too few allocatable cores.
Existing deployments, system services and reserved memory may prevent the provider from satisfying a new workload.
The requested storage class may exist but have too little free persistent or ephemeral space remaining.
Compatible GPUs may be installed and advertised while current leases have already reserved the available devices.
Pod requests, limits, DaemonSets and system workloads can reduce the resources available for tenant deployments.
The provider may advertise capacity that no longer matches current Kubernetes nodes, reservations or hardware availability.
Compare the workload request with Kubernetes allocatable resources, active reservations, running deployments, storage capacity and advertised provider inventory.
Run the free check, review the results and submit the failed items when you need help diagnosing lease declines or provider readiness.
Run the free Akash provider check