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Kubernetes · GPU and accelerator computing
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Runs ML training and batch jobs across clouds with SkyPilot, using spot instances, automatic region selection and managed recovery to cut GPU cost. | Orchestra-Research/ | 13k | 4 repos | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | Run jcm on a Kubernetes GPU cluster — generate benchmark and production Job manifests, pick a comparable GPU, survive eviction, collect results. | climate-analytics-lab/ | 108 | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | 3.Dstack dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters. | dstackai/ | 2.3k | — | ~6.2k | Automated safety check: Warn | MPL-2.0 | 2 days ago |
| 4 | Operate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls. | sickn33/ | 47k | 2 repos | ~3.2k | Automated safety check: Pass | MIT | 2 days ago |
| 5 | 5.Qzcli Manage GPU compute jobs on the Qizhi (启智) platform using qzcli — a kubectl-style CLI tool. | AI4Scientist/ | 128 | 2 repos | ~1.9k | Automated safety check: Notes | No licence | 4 mo ago |
| 6 | Diagnose and fix CoreWeave GPU scheduling, pod, and networking errors. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 7 | Audit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar. | NVIDIA/ | 3.6k | — | ~3.8k | Automated safety check: Warn | Apache-2.0 | yesterday |