Announcement: Webinar on 'How to Determine Placement and Connectivity for AI GPU Servers'

■ Growing Needs and Challenges in GPU Server Deployment due to Generative AI
As the use of generative AI expands, an increasing number of companies are considering the deployment of GPU servers to build their own AI infrastructure from the perspective of security and operational management.
However, many plans stall at the initial stage with questions such as: "Where should it be placed?", "Is there enough power and cooling?", and "How can it be safely connected to the cloud?"

■ AI Infrastructure Requires Server + Infrastructure Design
For stable operation of AI workloads, not only server performance but also total infrastructure design including placement, power, cooling, network, and cloud connectivity is essential.
If these requirements are not organized in advance, it becomes a factor that lengthens the time to deployment due to increased verification items during the estimate and proposal stages. Furthermore, considering connection to major clouds and future scalability, it is necessary to consider data centers suitable for AI infrastructure alongside connection services.

■ GPU Server Installation and Connection Foundation Enabled by Colocation and Fabric
In this seminar, we will organize the facility preparation items that should be confirmed when deploying GPU servers for AI. We will explain the philosophy of server operation using Equinix Colocation and the points of high-speed, secure connection to major clouds via Fabric, clarifying the requirements to keep in mind when proposing and building AI infrastructure.

■ Recommended for:
・Infrastructure/Information Systems departments considering GPU server deployment
・Those in a position to propose AI infrastructure to customers
・Those using data centers and interested in AI utilization

■ Organizer/Co-organizer:
SB C&S Corp.
Equinix Japan K.K.
■ Cooperation:
Majisemi Co., Ltd.