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How AI describes Slinky

Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this

Slinky logoSlinkyslinky.schedmd.com · Low evidence
Low evidence

Slinky is a set of integration tools from SchedMD that brings Slurm’s scheduling capabilities into Kubernetes for managing HPC, AI training, and inference workloads. It includes a Slurm operator, a Kubernetes scheduler bridge, and container images to enable resource sharing and co-location of Slurm and Kubernetes workloads.

Ownership
Part ofSchedmd logoSchedmd
Slinky logoSlinky

Parse Score

21.1

#118 of 120 in LLM Infrastructure and Fine-Tuning Platforms

Strength2
Reach16
Authority0

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Sources

nvidia.com shapes more of what AI says about Slinky than any other source, at 100% of its citations.

AI questions where Slinky appears

The market map

LLM Infrastructure and Fine-Tuning Platforms →
10%20%Category leadersSpecialistsIn the mixLong tailNamed in more AI answers →Appears earlier in the answer →RunPodVast.aiHugging FaceTogether AIAmazonLambdaAlphabetOllamaMicrosoftOpenWebUIvLLMSilicon FlowLM StudioOpenLLM

Where AI ranks Slinky

LLM Infrastructure and Fine-Tuning Platforms#118
Prompt
Prompt visibility
We have too many GPU servers sitting idle at night. Who offers software to automatically schedule training jobs for off-peak energy hours?1.4
We are spending a fortune on GPU cloud costs for training models. Who offers optimized GPU orchestration and scheduling?0.5