Post by Vultr

For 90% of businesses, a single hour of downtime per year can cost more than $300,000. For 20%, it's above $5 million. In some sectors, downtime can even be life-threatening. Those high stakes mean that many AI systems need to start at the edge, where data is processed locally and latency levels are lower than in the cloud. Edge workloads prioritize efficiency and always-on operation. These systems can escalate workloads to data centers for GPU acceleration — but that first layer, powered by CPUs, is critical for real-time decision-making. In this Fierce Network article, read about a real-world example of this integrated stack and how the CPU-enabled edge AI plays such a key role: https://lnkd.in/g8WRABTm