[Information] GPU Infrastructure Design Supporting Corporate AI Strategies and Utilization
Comparing cloud and on-premises! Combining solutions to realistically promote the use of AI.
This document is a white paper that presents practical scenarios for optimizing GPU infrastructure. It compares the characteristics of two options, on-premises and cloud, while considering the new three major challenges: the difficulty of securing resources, the opacity of costs, and security risks. In addition to ease of implementation, it also addresses the three challenges in utilizing generative AI by introducing the concept of GPU infrastructure that takes into account operations and scalability. [Contents] ■ Three options for GPU infrastructure - On-premises, Cloud, Hybrid ■ GPU foundation for keeping AI development "always on" ■ Product introduction ■ Company information ■ Contact information *For more details, please download the PDF or feel free to contact us.
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Our company started its business in February 2005 with support services for medical information systems and has since been engaged in providing IT solutions as a system integrator. We cultivate open-minded individuals who can approach their work creatively, and it is these "people" who become the driving force behind our high-value-added services, allowing our clients to experience "passion," "flexibility," and "a sense of speed."