From Notebook to Pipeline: GPU Data Engineering at Startup Scale

Ben Cutter shares the director's cut of his Applied Machine Learning Conference talk on building GPU data pipelines at startup scale, from notebook experimentation to production infrastructure.

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Ben recorded the extended version of his talk from the Applied Machine Learning Conference in Charlottesville (April 2026), covering the journey from notebook-based experimentation to production GPU data pipelines at startup scale.

The talk walks through the practical engineering decisions behind building data infrastructure at a five-person company, where every architecture choice has to balance speed, cost, and the reality that there's no dedicated platform team to fall back on.

Watch the full recording on Ben's Substack →

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