Haute performancecloud for modeling
a tout ce qu’il vous faut pour vos charges de travail
Scientific labs don’t just need more compute—they need reproducibility, predictable costs, and data they can trust. This report cuts through the noise to show how researchers across physics, climate, genomics, and more are using cloud computing today. From the basics to niche workflows, it’s written for scientists, PIs, and RSEs who want clarity, not sales pitches.
What’s inside
Clear frameworks for deciding what to run in the cloud
Common anti-patterns (and how to avoid them)
Practical cost comparisons and worked examples
A 30–60–90 day blueprint for hybrid pilots
Compliance and licensing checklists tailored to labs
Trouvez la config ML idéale pour entraîner vos modèles IA
Report prepared by Hivenet, the distributed cloud built on everyday devices. A practical alternative for labs that need scalable compute without the cost, lock-in, or energy waste of traditional clouds.
