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2026.06.30
Optimizing Thermal Design for High-Performance Network Appliances and Servers
As modern data centers and network infrastructures continue to scale, the demand for higher computing performance is rapidly increasing. This trend drives CPU power consumption to new levels, especially with the latest server-grade processors. As a result, optimized thermal management has become a critical design factor that directly impacts system stability and performance. High-performance network appliances and servers require advanced cooling solutions to sustain performance under heavy workloads.
2026.06.30
Accelerating AI Deployments with Modular Design and Rapid Customization
As AI applications continue to diversify from AI-powered cybersecurity and Edge AI to generative AI and intelligent automation with Agentic AI, organizations face growing challenges in deploying infrastructure that aligns with specific workload requirements while controlling development costs and timelines. AEWIN addresses these challenges through flexible modular platform designs and speedy customization services. It enables customers to rapidly tailor hardware configurations to accelerate time-to-market with optimize total cost of ownership (TCO).
2026.04.08
Enabling Agentic AI in Cybersecurity with On-Prem Infrastructure
Agentic AI in cybersecurity is rapidly transforming traditional defense into an autonomous, real-time defense solution. As security systems gain the ability to independently detect and respond to threats, infrastructure must evolve to support instant data processing and decision-making. This shift is driving the need for on-prem AI infrastructure, positioning edge servers, and network appliances as critical enablers of next-generation cybersecurity.
2026.03.18
AEWIN Has Completed 2025 Carbon Footprint Verification
As sustainability becomes a global priority, organizations are expected to better understand and manage their greenhouse gas (GHG) emissions. Carbon footprint verification helps quantify emissions, identify key sources, and support long-term reduction planning. As part of its ESG commitment, AEWIN conducts annual carbon footprint verification to ensure transparent reporting and responsible environmental management.
2026.03.04
Scalable Storage Infrastructure for AI-Driven Data Management
As data grows exponentially and AI adoption accelerates across enterprise, cloud, and edge environments, massive datasets must be processed, moved, and retained efficiently. Training, inference, and real-time analytics require storage infrastructure that delivers performance consistency, excellent efficiency, and scalability. To support AI-driven data management, storage servers must be architected not only for capacity expansion, but for throughput stability, system resilience, and overall reliability across dynamic data environments.
2026.02.11
How Generative AI Is Reshaping Cybersecurity: From Intelligent Threats to AI-Driven Defense
Generative AI is rapidly redefining the cybersecurity landscape. As AI gains the ability to generate content, code, and behavioral logic, cyber threats are becoming more automated, scalable, and difficult to detect. For modern enterprises, cybersecurity is no longer a static defense model, but an ongoing contest between AI-driven attacks and AI-powered protection which places new demands on network security infrastructures.