gcube is a cloud GPU service built around sharing and renting GPU resources on a usage-based model. Its Korean homepage says it lets users borrow GPUs economically, paying for resource use rather than fixed costs, and frames the service as a GPU cloud platform and a global GPU network.
The service emphasizes cost billing by actual usage. It states that unused time is not charged, that real-time monitoring is used to bill according to the share of resources actually consumed, and that a monthly estimate can be checked. The page also says gcube provides real-time GPU usage analysis and publishes analysis data transparently, along with workload operating logs after deployment. It mentions deployment-event status changes and console notifications so connection losses or state changes can be noticed immediately. The homepage also presents several GPU model families, including RTX 5000, RTX 4000, RTX 3000, RTX 2000, RTX A, and RTX ADA series.
gcube describes different intended uses and users. It lists government-supported large-scale data processing, university and research institute work, startup AI model development, and personal developer or mining use. It also says it can supply tailored services for environments with many simultaneous connections or uneven demand, and that cloud-native technology combines CSP GPUs with PC GPUs. The text refers to direct contracts with GPU suppliers and says multiple domestic GPU resources and fast networks are used to provide stable service.
Access appears to be through the web site, which includes links for Price, Docs, FAQ, Contact, Press, and Notice, plus login and language selection between Korean and English. The page advertises awards including CES Innovation Awards 2026 in Artificial Intelligence, Try Everything 2025 Seoul Unicorn Challenge special award, and WIS 2026 innovation-related recognition. It also identifies the operator as 데이터얼라이언스 주식회사, with a Seoul address and phone number shown on the page.
gcube is an Inference & model serving project. It focuses on providing affordable, scalable GPU resources for AI training and inference without upfront hardware investment. It is built as a B2B product for AI developers and companies needing GPU compute. gcube is paid. It ships for the web and the command line.
gcube first shipped in 2026. Among its 5 catalogued features are On-demand GPU rental, usage-based billing, and Global GPU network.
Summary written by a language model from the project’s public pages.
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