Webinar Held on "How to Solve VM Infrastructure Cost Challenges and Container Operation Complexity?"

■ AI Infrastructure Costs Surge Due to Soaring Virtualization Licenses
Against the backdrop of changes in virtualization software licensing schemes and price increases, many companies are reviewing their VM infrastructure or considering alternative solutions. Concurrently, with the expansion of container utilization and increased use of GPU resources, the need for flexible infrastructure operations that can integrally manage VMs and containers is growing. On the other hand, many companies are experiencing challenges with operational load during migration, compatibility with existing environments, and cost optimization.

■ Container Migration Faces the Barrier of Command-Based Management
To optimize AI infrastructure costs, transitioning from VM-centric operations to container utilization is gaining attention. However, container platforms like Kubernetes often involve command-based UI management, leading to a tendency for operational know-how to become concentrated among specific personnel. As a result, even companies wanting to leverage containers may hesitate to migrate due to concerns about management difficulty and the risk of knowledge silos.

■ Centralized Management of Containers, VMs, and GPUs via Web GUI Reduces Operational Load
This seminar will explain how to reduce the operational load of AI infrastructure by centrally managing containers, VMs, and GPUs through a Web GUI, utilizing the Qeek Orchestrator series equipped with OKESTRO. We will introduce a strategy for optimizing AI infrastructure by reviewing VM-centric operations and transitioning to flexible GPU utilization through containers, thereby reducing virtualization license fees and wasted GPU resources. Furthermore, as an appliance product, it can be introduced in a short period, minimizing the burden of complex custom builds and initial setup, making it easier to start AI infrastructure operations.

■ Recommended For:
- Those facing challenges with increased AI infrastructure costs due to soaring virtualization infrastructure licenses.
- Those who want to utilize containers but are struggling with CUI-centric management and operational load.
- IT and infrastructure operations managers, or AI promotion staff at end-user companies, who aim to operate AI infrastructure efficiently.

■ Organizer/Co-organizer
Tomorrow Net Inc.
■ Cooperation
Majisemi Inc.

Details and Application Here

Majisemi will continue to hold webinars that are "useful for participants."
Past seminar materials and other upcoming seminars can be viewed here ▶.

Majisemi Inc.

3-12 Kioicho, Chiyoda-ku, Tokyo 102-0094
Inquiries: https://majisemi.com/service/contact/
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