Install and use the Volcano batch scheduler on a Together AI Kubernetes GPU cluster for gang scheduling. Covers installing Volcano, creating queues, submitting all-or-nothing gang-scheduled jobs (vcjobs), and verifying placement. Reach for it when a job on a Together cluster needs its pods scheduled all-at-once or not at all, such as distributed multi-node training, rather than per-pod best-effort scheduling. Pins Volcano v1.15.0.
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---
name: together-volcano
description: Install and use the Volcano batch scheduler on a Together AI Kubernetes GPU cluster for gang scheduling. Covers installing Volcano, creating queues, submitting all-or-nothing gang-scheduled jobs (vcjobs), and verifying placement. Reach for it when a job on a Together cluster needs its pods scheduled all-at-once or not at all, such as distributed multi-node training, rather than per-pod best-effort scheduling. Pins Volcano v1.15.0.
---
# Volcano on Together GPU clusters
Volcano is a Kubernetes-native batch scheduler. Its key property is gang scheduling: a group of pods is placed all-at-once or not at all, so distributed training never starts with only some workers running. Use it when a job needs N pods to run together or not at all.
Public cookbook: https://docs.together.ai/docs/volcano-on-gpu-clusters. Pair this skill with the `together-gpu-clusters` skill, which covers creating the cluster and configuring `kubectl`.
## Preconditions
- A Together Kubernetes GPU cluster in the `Ready` state, with `kubectl` pointed at it (`tg beta clusters get-credentials <cluster_id> --set-default-context`).
- GPU nodes expose `nvidia.com/gpu`; the NVIDIA device plugin is preinstalled on Together clusters. Confirm with:
```bash
kubectl get nodes -o custom-columns='NODE:.metadata.name,GPU:.status.allocatable.nvidia\.com/gpu'
```
## Install
Pin the version. Do not use `master`.
```bash
kubectl apply -f https://raw.githubusercontent.com/volcano-sh/volcano/v1.15.0/installer/volcano-development.yaml
kubectl -n volcano-system wait --for=condition=Available deployment --all --timeout=180s
```
A `default` queue is created automatically (`kubectl get queue`). Helm is an alternative: `helm repo add volcano-sh https://volcano-sh.github.io/helm-charts && helm install volcano volcano-sh/volcano -n volcano-system --create-namespace`.
## Create a queue
A queue caps and weights the resources a set of jobs can use.
```yaml
apiVersion: scheduling.volcano.sh/v1beta1
kind: Queue
metadata:
name: research
spec:
reclaimable: true # give idle capacity back to other queues
weight: 1 # relative share under contention
capability: # hard ceiling for this queue
nvidia.com/gpu: 8
```
## Attach shared storage (optional)
Together provisions a static PersistentVolume named after the cluster's shared volume. Bind a `ReadWriteMany` PVC to it so every worker shares datasets and checkpoints, then mount it in the job (below).
```yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: shared-pvc
spec:
accessModes: ["ReadWriteMany"]
storageClassName: shared-wekafs # Together default shared storage class
volumeName: <shared-volume-name> # the static PV named after your shared volume
resources:
requests:
storage: 100Gi
```
## Run a gang-scheduled job
The gang guarantee comes from `minAvailable` on a Volcano `Job` (`vcjob`). Set `schedulerName: volcano` and a `queue`. The `volumes`/`volumeMounts` blocks are optional; drop them if the job needs no shared storage.
```yaml
apiVersion: batch.volcano.sh/v1alpha1
kind: Job
metadata:
name: gpu-gang
spec:
minAvailable: 4 # schedule all 4 pods together or none
schedulerName: volcano
queue: research
policies:
- event: PodEvicted
action: RestartJob # restart the whole gang if a pod is evicted
tasks:
- replicas: 4
name: worker
template:
spec:
restartPolicy: OnFailure
containers:
- name: worker
image: nvidia/cuda:12.4.0-base-ubuntu22.04
command: ["bash", "-c", "nvidia-smi -L; sleep 300"]
resources:
limits:
nvidia.com/gpu: 2 # 4 x 2 = 8 GPUs
volumeMounts:
- name: shared
mountPath: /mnt/shared
volumes:
- name: shared
persistentVolumeClaim:
claimName: shared-pvc
```
## Verify
- `kubectl get vcjob <name>` should show `STATUS Running` and `RUNNINGS` equal to `minAvailable`.
- `kubectl get podgroup` shows the gang; a `Running` phase means the whole group is placed.
- A gang that cannot fit stays `Inqueue` with **zero** pods running (all-or-nothing). This is the signal Volcano is working, not a failure. Never "fix" it by lowering `minAvailable` below the job's real parallelism.
## Rules and gotchas
- Always pin the Volcano version in the install URL.
- `schedulerName: volcano` must be on the pod template (on a `vcjob` it goes under `spec`). Without it, the default scheduler grabs the pods and there is no gang guarantee.
- A job whose total request exceeds the queue's `capability` is rejected. Raise the cap or split the job.
- To gang-schedule non-vcjob workloads (for example MPIJobs from the preinstalled MPI Operator), set `schedulerName: volcano` and attach a `PodGroup`. See https://volcano.sh/en/docs/podgroup/.
- Volcano and Kueue can coexist on one cluster: Volcano owns pods with `schedulerName: volcano`; Kueue admits jobs on the default scheduler. Pick one per workload; do not point a single job at both.
## Reference
- Volcano docs: https://volcano.sh/en/docs/
- Installation: https://volcano.sh/en/docs/installation/
- Gang scheduling: https://volcano.sh/en/docs/gang_scheduling/
- Queue: https://volcano.sh/en/docs/queue/
- vcjob: https://volcano.sh/en/docs/vcjob/