Democratizing Access to GPUs for Faster MLAI Innovation with Generative AI
summary
Claims that fractional GPU sharing (halves quarters tenths) lets a 10–50 person team avoid buying 25+ GPUs for dev and another 25 for test, cutting infrastructure spend from about half of revenue to ~5–10%, and shrinking build/test/deploy cycles from months to minutes. Describes running the same hardware across stages (T4, A100, H100) to avoid refactors, rolling out on global points of presence (Bangalore, Mumbai, Delhi plus 27 sites and new Tel Aviv and Manchester) with Terraform, Ansible, Jupyter APIs.
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