破解 AI Inference 黑盒

以系統洞察優化 AI 基礎設施

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摘要

AI已從模型訓練階段，邁入真實世界的推論（inference）挑戰。如今，團隊必須以可靠、高效且具備擴展能力的方式運行各種工作負載。你的推論堆疊其實早已產生能引導更佳決策的各類訊號。本場課程將帶你學會如何有信心地解讀這些訊號。

在本次線上研討會中，你將學到：
• 為什麼推論是一個「全堆疊系統」的行為，而非單一元件
• 在實際工作負載中，你的系統已經產生了哪些關鍵訊號
• 如何將這些訊號轉化為清晰的基礎設施決策
• 工作負載如何影響效能、記憶體使用與擴展模式

立即報名，將隱藏的訊號轉化為可行且清晰的決策依據。

專業講師

  • Amritam Putatunda
    Senior Product Manager at Keysight, Network and Security Infrastructure
    Amritam Putatunda is a senior product manager specializing in network performance, with expertise in testing AI infrastructure, cloud environments, and distributed security architectures. He focuses on real-world traffic emulation and scenario-driven validation to ensure scalable, resilient, and high- performing networks. Prior to joining Keysight, Amritam worked as a development test engineer for Cisco in its new generation routers and switches division.
    Prior to Ixia, Amritam worked as a development test engineer for Cisco in its new generation routers and switches division.

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Webinar: 破解 AI Inference 黑盒 by Keysight