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2026.06.30
Rack-Scale AI Infrastructure: Maximizing Performance, Efficiency, and Scalability for the AI Era
Driven by the explosion of Gen AI, Agentic AI, and the massive datasets behind them, computing infrastructure is evolving from standalone servers to rack-scale architectures. Modern AI workloads require a tightly integrated combination of computing, networking, storage, and cooling solutions to deliver maximum performance and efficiency. Future-Ready AI Infrastructure has become the foundation for the AI Era.
2026.06.30
Enhancing Network Resilience with AEWIN Gen4 LAN Bypass
Traditional LAN bypass focuses on keeping traffic flowing when a system goes down, but modern deployments require greater flexibility to balance availability and security. AEWIN Gen4 LAN bypass builds on the Gen3 foundation by introducing enhanced traffic control mechanisms to enable network behavior to better align with real-world operational demands.
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
透過本地端基礎設施賦能網路安全中的代理式 AI
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.