en.Wedoany.com Reported - Gabia announced on the 9th the launch of a hybrid cloud configuration that links "GPU server hosting" with the virtualized environment "Gabia Cloud."
The upgrade of AI services has driven demand for GPUs, increasing the pressure on enterprises' hardware infrastructure costs. Building high-performance resources in-house requires significant initial investment, while fully adopting cloud operations incurs ongoing expenses. To alleviate this burden, Gabia has integrated the two models, allocating computing resources based on the nature of work tasks: high-performance computing tasks such as AI training and graphics processing are handled by physical GPU servers equipped with RTX 4090, while routine service operations and traffic management are managed by cloud servers.
The actual application method is flexibly adjusted according to business objectives. For example, an image generation service company can quickly generate large volumes of images on dedicated physical GPU servers, then migrate the results to the cloud to stably provide services to users. An AI model development company only connects to physical GPU servers during the large-scale raw data learning phase, with the cloud handling model inference and routine services afterward. A real-time inference service company only links GPU server hosting during the development of new models, thereby improving cost efficiency.
To celebrate the launch of this configuration, Gabia is offering new customers a Gabia Cloud credit refund equal to the amount paid for GPU server hosting until September 30. This offer applies to new customers who require high-performance hardware and cloud flexibility, or those considering infrastructure cost savings and redundancy.
Gabia team leader Oh Seok stated that enterprises often face the dilemma of building in-house or fully adopting the cloud, and this configuration is designed to allow companies to optimize resources based on work stages, maximizing efficiency. He also noted that leveraging Gabia's nearly 30 years of infrastructure operation capabilities, the company will support customers in building a secure and economical AI infrastructure environment without initial entry barriers.
Additionally, Gabia has established a dedicated Kubernetes support system to provide operational maintenance support for public institutions and enterprise customers lacking specialized personnel.
