Ephemeral GPU Job Runner for ML Researchers Without DevOps
GPU compute is cheap by the hour, but the typical ML researcher pays for idle bills, wrestles with Terraform, and gets paged when a 3am job dies on a half-configured VM. Crunr is a one-command runner: `crunr run train.py --gpu` spins up, runs, terminates. PH users called out paying for machines that did nothing most of the day.
Problem Statement
A researcher trains a model, the run crashes at hour 4, the GPU keeps billing because the spot instance is still alive. They wake up to a four-figure AWS bill. DevOps support is a budget line they do not have. They keep falling back to a laptop with a 4090 and losing weeks to thermal throttling.
The Idea
A one-command GPU job runner that gives ML researchers and indie AI builders the cloud benefits of AWS without any DevOps overhead.
Why Now
AI workloads exploded into long-tail teams in 2026 (indie LLM tinkerers, ML researchers in non-AI-native companies, small training shops). Modal and RunPod target serious infra teams. Crunr targets the long tail that just wants a script to run cheaply and ghost the infra afterward.
Target User
ML researchers, applied scientists, indie AI builders, and small startup AI teams without dedicated infra engineers
Target Market
AI infra/MLOps tools, GPU as a service, developer experience for ML
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