GPUtw.ai is a dedicated GPU cloud platform built for AI researchers, engineers, and startups. Our mission is to eliminate the barrier to high-performance computing — offering direct GPU access, transparent pricing, and rates consistently 30% below the market.
Dedicated GPU per instance with no hypervisor overhead — you get the full hardware, every time.
From GPU selection to live SSH access in under two minutes. No queues, no waiting lists.
Targeting 30% below the competition. No hidden fees, no shared tenancy, billed by the second.
Taiwan has world-class semiconductor manufacturing and academic research talent, yet has lacked affordable, accessible local GPU cloud infrastructure. GPUtw.ai was built to fill that gap — enabling every researcher to spin up a training job in minutes, not days, without compromising on cost.
Large-scale inference and training for AlphaFold and similar models
Molecular docking, generative chemistry, and ADMET prediction
High-throughput molecular dynamics and quantum chemistry
VLA model training and multi-robot reinforcement learning with Isaac Sim and MuJoCo





Co-founder & CTO
Researcher and engineer focused on Vision Language Models (VLMs), Physical AI, and high-performance computing infrastructure. Leads KSAC Lab (Knowledge System and Applied Computing), collaborating with top Taiwan academic institutions and industry partners.
No. 30, Ln. 305, Dongfeng Rd., North Dist., Tainan City, Taiwan
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