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Agentic AI Platforms EXPOSED: Hyperscalers vs. Alternatives!
Manage episode 478988183 series 3660640
David Linthicum에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 David Linthicum 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Agentic AI applications are built with various platforms based on specific requirements including scalability, latency, security, and cost-efficiency. Hyperscalers are ideal for dynamic, global agentic AI systems but incur high operational costs. Private Clouds and Sovereign Clouds provide secure environments suitable for compliance-heavy applications at moderate costs. Co-location providers are cost-effective for predictable workloads, while Edge Computing Servers support latency-critical applications like IoT and autonomous vehicles. GPU Clouds ensure optimal performance for computationally intensive tasks, though they are expensive in the long run. The right platform selection depends on workload characteristics and long-term cost considerations.
80 에피소드
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