Side by side
KAI Scheduler vs TORQUE Resource Manager
Both stand on gpu cluster management software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Choose KAI Scheduler if you need to allocate GPUs across Kubernetes AI workloads with queue policies, gang scheduling, and GPU sharing. Look elsewhere if you need a managed service or enforced runtime GPU memory isolation in the default NonMemoryEnforced mode.
Visit KAI SchedulerTORQUE provides cluster resource and queue management with options for large deployments and network administration. Note the version compatibility limit: TORQUE 4.0 components cannot communicate with earlier versions, so rolling upgrades will not work.
Visit TORQUE Resource ManagerThe facts
| KAI Scheduler | TORQUE Resource Manager | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Self-hosted | API, Linux, Mac, Self-hosted |
| Lowest paid plan | Not published | Free or on request |
| Plans published | None | 1 |
| Maker | Not published | Not published |
| Website | kai-scheduler.dev | github.com |
| On gpu cluster management software | #14 of 21 | #10 of 21 |
KAI Scheduler: what it does well
- Open-source Apache-2.0 project with no listed price.
- Supports training, inference, and data-processing workloads.
- Hierarchical queues provide quotas, limits, priorities, and borrowing.
- GPU sharing supports time slicing, MPS, and MIG.
- Runs on cloud and on-premises infrastructure.
What to know first
- Requires a running Kubernetes cluster and Helm CLI.
- GPU-requesting workloads require NVIDIA GPU Operator.
- Self-hosted deployment requires infrastructure management.
- Default NonMemoryEnforced mode does not enforce runtime GPU memory isolation.
TORQUE Resource Manager: what it does well
- Free, open-source resource and queue manager.
- TORQUE 4.0 notes support for clusters above 15,000 nodes.
- Optional MOM hierarchy can reduce node update traffic.
- Linux builds can optionally use control groups and cpusets.
What to know first
- Client hosts must run trqauthd as root.
- TORQUE 4.0 cannot communicate with earlier versions.
- Rolling upgrades are not supported for the 4.0 transition.
- Installation requires building from source.
Alternatives to KAI Scheduler Alternatives to TORQUE Resource Manager The whole list