John Brown
Member
Nebius today announced the launch of its “ AI Cloud 3.0 Aether ” platform, spotlighting an advanced infrastructure built for enterprise-scale artificial intelligence. With this release, Nebius embeds rich security, compliance, and governance capabilities into a unified cloud environment, enabling organizations to safely deploy AI models in regulated industries such as healthcare, finance and government.
Key Innovations & Platform Highlights
Enterprise-Grade Security & ComplianceAether comes certified with SOC 2 Type II (including HIPAA sections), ISO 27001 and ISO 27799, and aligns with regulations such as NIS2, DORA, ISO 27032 and ISO 27701. This gives companies operating in highly regulated sectors the assurance they need for production-level AI workloads.
Governance & Control Features
The platform includes granular identity and access management (IAM), embedded secrets management, comprehensive observability (logs, metrics, auditing) and full infrastructure visibility. These controls support accountability and traceability for enterprise AI deployments.
Developer Productivity & Workflow Acceleration
Recognizing the shift from experimentation to inference-first AI, Aether introduces streamlined developer workflows: updated UI, pre-loaded AI application catalog, simplified GPU/CPU resource management and global data-residency options.
Performance & Reliability at Scale
Nebius claims strong performance credentials: top-tier MLPerf Inference v5.1 benchmark results on NVIDIA GB200 NVL72 and HGX B200 systems, along with NVIDIA Exemplar Cloud status for large-scale training on HGX H200. Automated health monitoring and self-healing infrastructure further help ensure stability and scale.
Global Reach & Ecosystem Integration
Aether will be available across regions including the US, Europe, UK and Middle East with local-data-residency options. Nebius also announced partnerships with distributors and ecosystem players like TD SYNNEX and integrations with platforms such as Anyscale and SkyPilot to facilitate end-to-end enterprise AI adoption.
Why This Matters
- Bridging the Gap for Enterprise AI: Many organizations struggle with deploying AI in production due to fragmented tools, procurement delays and compliance risk. Aether addresses these by combining compute, governance and workflow in one platform.
- Security Built for AI: Traditional cloud infrastructures are often designed for general-purpose workloads, not AI. Nebius' focus on AI-specific security controls (eg, model access, inference auditing) positions Aether for regulated industries.
- From Proof-of-Concept to Production: With developer experience improvements and performance scale, companies can move beyond pilots and deploy business-critical AI systems.
- Global Compliance & Residency: In a world of data-localization and variable regulation, the availability of regional cloud footprint plus global standards helps enterprises negotiate multiple regulatory regimes.
- Competitive Differentiation: As more vendors target AI infrastructure, having a security- and compliance-first proposition will appeal to customers with high-stakes workloads (finance, government, healthcare).
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