The New Reliability Mandate: Why AI Forces A Rethink Of RAS

InnovationThe New Reliability Mandate: Why AI Forces A Rethink Of RASBySteven Woo,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 09, 2026, 06:00am EDTBy Dr. Steven Woo, fellow and distinguished inventor at Rambus. getty​Reliability, availability and serviceability (RAS) is not a new concept, but AI is forcing a fundamental rethink of it. Popularized by IBM to improve mainframe uptime with hardware features, it defines how systems perform, recover and scale. As cloud architectures matured, software resiliency became a priority to complement RAS capabilities.​​Now, AI and high-performance computing (HPC) are raising the importance of RAS in future systems. RAS will be an important factor in ensuring that platforms operate correctly across long runtimes, recover quickly from hardware failures and provide visibility into why failures occurred.Memory plays a central role in this renewed emphasis on RAS, as data integrity issues can surface here, long before they manifest as system failures. As AI architectures evolve toward distributed, agentic systems, RAS’s importance is extending beyond hardware and intersecting with the knowledge chain itself. In our agentic AI future, agents generate results for other agents, and the potential for undetected data errors to propagate means strong RAS strategies will be essential for shaping trust, observability and decision integrity in AI-driven environments. ​Reliability: Ensuring Correct And Predictable AI Behavior ​At its core, RAS is about reducing failures, minimizing disruption and accelerating recovery. Reliability ensures systems continue to produce correct results, even in the presence of minor problems. In AI environments, reliability must be evaluated holistically, spanning hardware and software. ​​On the hardware side, AI training and inference typically run on graphic p...