What changed: r1 to r2
No authored reason recorded.
Retrieval clocks and internal hashes are excluded. Changed source or accounting definitions are not automatically an economic restatement. The authored reason describes the destination revision.
| Field | Before | After |
|---|---|---|
| /business/description | Not yet authored. | Nebius, a global AI cloud platform, delivers a unified full-stack AI cloud that spans the complete AI journey – from compute capacity to software and services that enable fast and efficient training and inference at scale. Founded around deep in-house technological expertise, Nebius offers a comprehensive and integrated suite of AI and ML cloud solutions, including both hardware and software built in-house. This combination of AI-optimized hardware and software enables us to deliver high-performance GPU compute clusters, storage, managed services, and advanced tools for AI model training and inference at enterprise-scale. Headquartered in Amsterdam and listed on Nasdaq, Nebius Group offers one of the few global, at scale, multi-tenant clouds purpose built for AI, with a significant presence in Europe, the U.S., and other geographies around the world. Nebius Group includes Nebius as well two distinct businesses that operate under separate brands: Avride, a leading developer of autonomous vehicles and. |
| /business/drivers/0 | Not yet authored. | Nebius offers solutions for: ● IT operations, DevOps and Platform Engineering teams needing access to compute resources in order to set up and manage the. |
| /business/drivers/1 | Not yet authored. | We believe this results in greater maximization of compute performance and lower customer Total Cost of Ownership (TCO). |
| /business/drivers/2 | Not yet authored. | This global, multi-tenant architecture provides flexibility and ensures that customers can handle everything from small-scale experiments to large-scale. |
| /memory/bands/10d/p10 | -16.436 | -10.155 |
| /memory/bands/10d/p50 | -0.225 | -0.133 |
| /memory/bands/10d/p90 | 17.608 | 14.662 |
| /memory/bands/10d/p_up | 0.495 | 0.497 |
| /memory/bands/1d/p10 | -5.173 | -3.07 |
| /memory/bands/1d/p50 | -0.239 | 0.075 |
| /memory/bands/1d/p90 | 3.564 | 2.736 |
| /memory/bands/1d/p_up | 0.453 | 0.52 |
| /memory/bands/5d/p10 | -11.334 | -7.168 |
| /memory/bands/5d/p50 | -0.381 | -0.15 |
| /memory/bands/5d/p90 | 12.333 | 9.542 |
| /memory/bands/5d/p_up | 0.48 | 0.493 |
| /meta/as_of | 2026-09-17 | 2026-09-18 |
| /meta/business_authored | None | False |
| /meta/extract_accession | None | 0001104659-26-052948 |
| /meta/extract_filed | None | 2026-04-30 |
| /meta/extract_form | None | 20-F |
| /meta/extract_source | None | filing |
| /meta/extract_url | None | https://www.sec.gov/Archives/edgar/data/1513845/000110465926052948/nbis-20251231x20f.htm |
| /meta/revision | 1 | 2 |
| /thesis/view | Not yet authored. | |
| /thesis/what_changes_it | Not yet authored. |