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Kubernetes · GPU and accelerator computing

7 skills found.
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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/AI-Research-SKILLs13k4 repos~2.4kAutomated safety check: PassMIT3 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/jax-gcm108—~3.4kAutomated safety check: PassApache-2.0yesterday
3

dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters.

dstackai/dstack2.3k—~6.2kAutomated safety check: WarnMPL-2.02 days ago
4

Operate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls.

sickn33/agentic-awesome-skills47k2 repos~3.2kAutomated safety check: PassMIT2 days ago
5

Manage GPU compute jobs on the Qizhi (启智) platform using qzcli — a kubectl-style CLI tool.

AI4Scientist/nano-scientist1282 repos~1.9kAutomated safety check: NotesNo licence4 mo ago
6

Diagnose and fix CoreWeave GPU scheduling, pod, and networking errors.

jeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMITyesterday
7

Audit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar.

NVIDIA/skills3.6k—~3.8kAutomated safety check: WarnApache-2.0yesterday