The demand for faster and more efficient business processes has led to the use of edge-to-cloud solutions that run AI workloads at the edge. This approach reduces latency and allows for near-real-time use cases, such as identifying defects in manufacturing. Cloud solutions from companies like Amazon, Google, and Microsoft play a crucial role in this process, with purpose-built CPUs providing the necessary power for complex AI tasks.
