2023.02.15

邊緣人工智慧設備以惠及人工智慧應用——AEWIN的邊緣人工智慧伺服器與InfinitiesSoft的AI-Stack的組合

分享：

介紹
隨著技術的快速發展，人工智慧已被整合到各種垂直領域，包括智慧城市、智慧製造、智慧醫療等。AEWIN 正在與 InfinitiesSoft Solutions Inc.（以 InfinitiesSoft 營業）合作，共同創建一款邊緣人工智慧設備，結合 AEWIN 邊緣人工智慧伺服器和 InfinitiesSoft AI-Stack 軟體，以加速各種人工智慧應用的開發和部署。

邊緣人工智慧設備
透過整合AEWIN的Edge AI伺服器和InfinitiesSoft的AI-stack，創建了一個高效能的平台，用於機器學習的開發和運營管理。Edge AI Appliance提供了理想的開發環境，以支持行業創建有價值的應用程序。

ALL_news_tech_blog_26A12_Upv3lZ3BMI

AEWIN SCB-1932C 配備雙 Intel Xeon 可擴展處理器，以提供高性能和靈活的擴展插槽，用於 GPU 加速，並配備 AEWIN 廣泛的網路介面卡，以實現低延遲數據傳輸的高吞吐量和卓越的計算能力，有效處理 AI 模型訓練和推理。此外，SCB-1932C 設計為 600mm 的短深度，便於在邊緣部署，使其成為 MEC 應用的完美 Edge AI 伺服器。

隨著 InfinitiesSoft 在 GPU 管理和開發方面積累的豐富經驗，其 AI-Stack 與 AEWIN Edge Server 的整合可以更有效地利用 GPU 資源，並通過介面平台使 AI 開發/管理變得簡單快捷。這一整合幫助企業加速整個 AI 部署過程，從 AI 模型開發到邊緣應用。配備 AI-Stack 平台的 AEWIN Edge AI Server 能夠處理多個伺服器，以增強高效運作的總資源，並為 AI 應用創造雙贏解決方案。

結論
將硬體（AEWIN – Intel Xeon Ice Lake SP 邊緣 AI 伺服器）和軟體（InfinitiesSoft – AI Stack）捆綁在一起，以加速 AI 應用程式的開發，提供一個擁有所有所需資源、工具和 AI 框架的單一平台，以進行性能優化，惠及各種 AI 應用程式。

相關訊息

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.