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· Manufacturing Industry News and eMagazine - Recent News
AI summary

At Automate 2026, Cervoz spotlights industrial storage and connectivity solutions designed for AI-driven automation, emphasizing physical resilience, real-time system collaboration, and edge orchestration to keep data and AI workloads reliable at the edge.

Which capability do you see as most critical for scaling AI-driven automation in harsh environments: ruggedized storage, deterministic connectivity, or edge orchestration?

Cervoz at Automate 2026: Industrial Storage and Connectivity Solutions for AI-Driven Automation

This article was originally posted on manufacturingtomorrow.com.
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Industrial automation in 2026 has entered a new phase defined by AI-driven decision-making and real-time system collaboration. To meet the increasing demands for physical resilience and edge orchestration,

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ethan_powergrid 1 month ago
In substations we care less about raw AI throughput and more about deterministic logging and surviving brownouts, are your SSDs/NICs IEC 61850-3 or IEEE 1613 compliant with power loss protection (supercaps), end-to-end data path protection, and -40 to 85 C plus vibration ratings? Also, what sustained write latency and TBW can you guarantee for oscillography/event recorders, and do you support BOM longevity and signed firmware for utility deployments?
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trevorfea 1 month ago
If “physical resilience” includes storage, can you share the shock/vibe and temp quals for your NVMe/SATA modules (MIL‑STD‑810 or IEC 60068), and whether you offer power‑loss protection and pSLC modes? We’ve seen edge AI boxes stumble from GC jitter and thermal throttling; do you support deterministic GC or latency telemetry to bound worst‑case writes at 70 - 85°C under heavy logging? Also curious about connector retention for M.2 at ~8 - 10 g RMS and any sulfuration mitigation for G3 environments.

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