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    AI Cloud · For AI labs

    Nebius AI Cloud for AI labs and research teams.

    Run ambitious research workloads on Nebius without losing control. Give your lab freedom to experiment on open-weight models, while Zenvue helps you land controlled deployments with the governance and data residency your organisation needs.

    Plan your lab's Nebius footprint

    What research teams need

    Move fast in research without losing the controls that matter

    Labs live in the tension between exploration and accountability - freedom to chase the next idea, paired with the guardrails an organisation needs before that idea reaches production.

    Experiment freedom

    Spin up new open-weight models and architectures on demand, and tear them down just as fast - no procurement drag between ideas.

    Controlled deployments

    Clear promotion paths from sandbox to staging to production, so a result moves forward without disturbing what's already running.

    Governance

    Audit trails, scoped access control, and data residency that satisfy your security and compliance teams from the first run.

    Model foundation

    Open-weight models and post-training for research workloads

    Open-weight models give labs what closed APIs can't: reproducible runs, full introspection of the weights, and the freedom to probe, ablate, and modify architectures without asking permission.

    Post-training on Nebius takes that further - adapt a base model to your domain, your data, and your evaluation criteria, and keep the resulting weights as your own research asset.

    Supported families

    • LlamaMeta's general-purpose family
    • MistralEfficient weights, strong per size
    • QwenMultilingual, long-context variants
    • DeepSeekReasoning-focused open models
    • GemmaLightweight Google open models
    See post-training details

    Nebius infrastructure for serious lab workloads

    Long-context training

    Train and fine-tune on extended context windows for retrieval, agents, and document-heavy research.

    Multi-GPU training

    Scale from single nodes to large clusters - roughly 8 to 512 GPUs - sized to your model and dataset.

    Experiment tracking

    Works with your existing tooling - MLflow, Weights & Biases, or your own stack - so runs stay reproducible.

    Data residency & governance

    EU and US residency options with access control and audit, to satisfy security and compliance.

    From research to production

    How Zenvue turns Nebius into a lab-ready platform

    Raw GPUs aren't a platform. We help labs design experiment topologies, build standardised deployment paths from staging to production, and structure governance - tenants, projects, access, and budgets - so research moves fast without losing the controls your organisation needs.

    1. 01

      Discover

      We map your research workloads, datasets, and constraints - and what 'production' has to mean for your lab.

    2. 02

      Design

      We architect the Nebius setup - training and inference patterns, GPU sizing, and the staging-to-prod path.

    3. 03

      Deliver

      We stand up the lab-ready environment with governance in place, then hand over with documentation and support.

    Ready to plan your lab's Nebius footprint?

    Bring your research workloads and constraints; leave with a clear Nebius architecture and a path from experiment to production.

    Plan your lab's Nebius footprint