Reliability, resilience and trust
Reliable AI infrastructure means workloads run securely and continuously. We build that resilience across three layers: physical infrastructure, platform controls, and workload-level continuity.
We operate under an end-to-end security framework to match the scale and complexity of modern AI cloud environments and regulatory requirements, protect personal data, and support compliance with applicable regulatory requirements, including the General Data Protection Regulation (GDPR).
Enterprise-grade certifications
ISO certifications covering cybersecurity, privacy, continuity, SOC2 with HIPAA, EU frameworks for critical fields and financial sector
Learn more about it in our blog post.
Formalised security framework
50+ robust policies introduced across information security, privacy, physical security and business continuity.
Fault-tolerant training at scale
56.6 hours mean time between failures on a 3,000-GPU cluster, recorded by one of Nebius customer, vs. ~9.8 hours for an industry-typical cluster of similar size
See also
Efficiency by design
Sustainable AI starts with efficient infrastructure. To deliver more compute for every unit of energy consumed, we integrate and optimize across the full stack, so that the gains at each layer add up.
Unlocking opportunity in the AI economy
From local communities to frontier researchers, we work to make AI more accessible, through programs, partnerships and education. From cloud credits for startups to training and upskilling for the AI workforce.
