AI Inference at the Edge: Dedicated Servers vs Serverless APIs




As generative AI and real-time computer vision move into production, one architectural question keeps coming up: should inference run on dedicated infrastructure, or through a serverless API?

Our newest guide unpacks the full picture  the difference between training and inference, what "edge AI" really means, and a side-by-side comparison of dedicated servers and serverless platforms across latency, pricing, data control, and custom model support. We also cover when a hybrid approach (using both) makes the most sense.

If you're building latency-sensitive AI applications  voice assistants, industrial automation, or high-volume LLM workloads  this breakdown will help you make an informed infrastructure decision.

👉 Read the full article here: https://www.fitservers.com/blogs/ai-inference-at-the-edge-dedicated-servers-vs-serverless-apis/


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