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tao-run-on-kubernetes
separate
Kubernetes execution platform — submits TAO container jobs as k8s Jobs with NVIDIA GPU scheduling; single-pod
When to use
- submitting TAO container jobs as k8s Jobs
- NVIDIA GPU scheduling
- single-pod training on one node
- multi-node distributed training via Indexed Jobs
- running on EKS, GKE, AKS, or on-prem clusters
- integrating TAO into k8s-native ML platforms
When not to use
- Brev or SLURM credential management
- using nvidia-tao-sdk or tao_sdk imports
Skill page
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