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2026.10.07
Building AI-Ready Cybersecurity Infrastructure
As cyber threats grow increasingly sophisticated, modern security infrastructure relies heavily on AI to analyze massive traffic volumes and accelerate real-time threat response. Powered by Intel Xeon 6 processors, AEWIN servers and network appliances deliver high-performance computing, efficient AI acceleration, and robust, hardware-based security required for demanding workloads across on-premises AI and AI-powered cybersecurity environments.
2026.09.29
AEWIN 2025 Sustainability Report Highlights
At AEWIN, sustainability is integrated into corporate management with a focus on environmental responsibility, employee well-being, and social engagement. The 2025 Sustainability Report highlights the company’s continued efforts to improve resource efficiency, strengthen workplace health management, and foster a culture where sustainability becomes part of everyday actions.
2026.09.24
Architecting Rack-Scale AI Infrastructure for the Neocloud Era
Generative and agentic AI applications, coupled with intensifying training and inference workloads, demand unprecedented compute throughput, memory, networking, and storage. Consequently, infrastructure can no longer be designed around isolated servers. The rise of specialized Neocloud providers further accelerates this shift toward rack-scale architecture, where compute, networking, and thermal management must converge to yield efficient, adaptable AI capacity.
2026.09.09
Scalable Infrastructure for AI and Cloud-Native Applications
As AI adoption and cloud-native applications reshape enterprise IT, infrastructure must support increasingly diverse and dynamic workloads. From virtualization and distributed services to data-intensive applications, modern data centers require a balanced foundation of compute, memory, storage, and I/O performance. As workload demands continue to evolve, the infrastructure has to be built with superior scale and efficiency.
2026.09.02
High-Density AI Infrastructure: Scaling Performance with Advanced Cooling Solutions
As AI workloads demand greater processing power, data centers must achieve higher compute density and superior thermal efficiency while minimizing space and energy footprints. Integrating high-power CPUs and GPUs into compact server platforms makes advanced thermal management a critical factor in sustaining performance and optimizing infrastructure efficiency.
2026.08.25
Building High-Performance Data Pipelines for Next-Generation AI Workloads
AI infrastructure has traditionally focused on accelerating compute with powerful CPUs, GPUs, and AI accelerators. As AI workloads continue to process increasingly large and diverse datasets, compute alone is no longer sufficient. Next-generation AI infrastructure must extend from compute to data, featuring high-performance data pipelines that keep AI workloads running efficiently and seamlessly.