AI BriefingKeccal's Feed June Issue | Why Infrastructure Operations Capability Matters More in the AI Era
Key point
The core of AI business is shifting beyond adoption toward stable operations and infrastructure foundations.
Details
The decisive factor in AI business is shifting beyond model adoption toward stable operations. Companies must now secure infrastructure-based competitiveness spanning GPU resource management, power and cooling, data security, and operating costs.
The first half of 2026 is expected to bring major changes from three perspectives: Data Center, AI, and Cloud. Key issues include changes in power and cooling technology driven by GPU high-density, the evolution toward self-judging agentic AI, and cloud security strategies to secure data control.
In addition, the following technology trends are covered.
- Platform Engineering: Building standardized CI/CD and Sandbox environments based on Self-Service to reduce developers' repetitive work
- Cloud Architecture: Active-Active structures and high availability (HA), disaster recovery (DR) strategies to secure service availability
- Domestic NPU Infrastructure: Launch of a public-dedicated NPU Server that enables use of domestic AI semiconductors while complying with security regulations
- Secret Management: How to safely manage sensitive information that may be exposed in Git or Kubernetes using Vault
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