RAS 2026: A Comparative Analysis of Cloud Providers for AI Workloads
Introduction As artificial intelligence continues to reshape industries, the underlying infrastructure powering these innovations is more critical than ever. For AI workloads, especially large-scale training and inference, the trifecta of Reliability, Availability, and Serviceability (RAS) is paramount. These three pillars determine the robustness, uptime, and maintainability of a system, directly impacting the performance and cost-effectiveness of AI applications. In this post, we’ll explore the RAS landscape in 2026, comparing two distinct categories of cloud providers: the specialized clouds (Crusoe, Nebius, CoreWeave) and the hyperscalers (AWS, GCP, Azure)....