How to Choose AI Hardware for the Edge | Edge AI Workstation vs. Edge AI Server

What this episode covers

In this webinar, you will learn: • Why AI workloads are moving closer to industrial operations • How Edge AI Workstations support robotics, machine vision, and real-time AI inference • How Edge AI Servers enable on-prem LLMs, AI agents, and centralized AI services • How to select the right architecture based on workload location, latency, GPU requirements, scalability, and deployment needs • How hybrid AI architectures combine local intelligence with centralized AI capabilities Whether you are deploying industrial robotics, machine vision systems, AI assistants, or on-prem AI applications, choosing the right hardware architecture is the foundation for scalable AI deployment.

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