AI Briefing#kt-cloud
The latest AI and developer news about #kt-cloud, with the original source and a short summary.
The latest AI and developer news about #kt-cloud, with the original source and a short summary.
KT Cloud automated the upgrade of three add-ons, including ArgoCD, and the transition to GitOps using Chkk MCP.
This article summarizes the types and principles of data center cooling pumps, construction requirements, VFD control, and AI predictive maintenance solutions.
To resolve memory bottlenecks caused by increasing KV Cache, a hierarchical structure utilizing layers from HBM to NVMe SSD is required.
KT Cloud will share insights on platform technology internalization and the use of Observability monitoring services at a webinar on December 2.
Verified the reboot integrity of Cinder NFS storage in a single-VM OpenStack sandbox.
From Ampere to Rubin, rising GPU TDP has increased per-rack power density to 150kW or more.
The company is advancing the construction of 50MW-class AI data centers in Ansan and Cheongna.
Following the 2025 National Information Society Agency fire, public-sector DR standards have been strengthened, requiring recovery designs tailored to A1–A4 tiers.
AI training and inference traffic exceeds the limits of existing network designs, necessitating a restructuring of WAN architecture.
Half of respondents use operational data only for post-hoc analysis, and security concerns outweighed costs in AI adoption.
Explains the energy required for AI token generation and the principles of Direct Liquid Cooling (DLC) and PUE 1.1 design for handling 80kW power density per rack.
To resolve AI code verification bottlenecks, the team progressed through personas, SKILL.md, and YAML-based automated verification stages.
Introduces AIDC Ops Studio, which uses AI to analyze 9 trillion data points from nationwide data centers for proactive response
This article introduces grounding principles to prevent electric shock risks in low-voltage environments, mesh installation techniques, and reinforcement methods for rising resistance.
Layer-specific optimization is essential for internal NVLink and external InfiniBand, RoCE, and other interconnects.
Building a self-service platform and AI-based assistants to reduce developers' cognitive load.
Hardcoded AI code was separated into CSV rule sets to enable maintenance by non-developers.
At kt cloud summit 2026, the company announced its Composite AI vision and plans for power infrastructure collaboration with LS Electric.
KT Cloud has proposed a solution to reduce deployment failure root cause analysis time by 90% by applying the MCP ecosystem.
With approximately 1,500 attendees, the event presented next-generation AIDC technologies such as Liquid Cooling and a vision for public cloud expansion.
KT Cloud has introduced design criteria for a three-stage architectural boundary of 'Collection, Identification, and Consumption' to ensure flexibility against changes in heterogeneous data integration.
KT Cloud will host a webinar sharing case studies on data center operations innovation through the application of AI and BIM.
KT Cloud unveiled a strategy to redesign development and operations for the AI era, centered on AIDC and its cloud platform.
kt cloud is building an AIOps model that connects scattered cloud data to support AI-driven operational decision-making.