Businesses are advancing their AI strategies quickly, from accumulating knowledge to training models. Now that training models are more mature, vertical-specific and trusted, we expect companies to spend more time on AI inference, particularly at the edge. Edge computing for AI inference enables real-time decision-making for use cases across many industries. Processing data locally, in proximity to data sources, reduces latency, ensures compliance and allows organizations to react immediately to AI inference insights. This is crucial for sectors such as healthcare, transportation and manufacturing, where milliseconds matter. Running AI inference at the edge also increases overall efficiency, enhances data privacy and…

The post Run Your AI Inference at the Edge to Unlock Insights Faster appeared first on Interconnections - The Equinix Blog.