Nebius AI Cloud
What would it cost to own your models instead of renting them?
A free, confidential, 5-day migration assessment from Zenvue. We benchmark your current AI spend, match open-weight models to your workloads, and deliver a costed roadmap to lower your cost per token on Nebius without losing production quality.
The silent cost problem
Proprietary APIs charge per token, and at scale those costs compound rapidly. A feature that succeeds drives more calls, longer contexts, and more users. What was a rounding error becomes a board-level line item. Here's what the difference looks like at scale:
| Volume / month | Proprietary API cost | Open-weight on Nebius | Typical savings |
|---|---|---|---|
| 10M tokens | ~$50–$150 | ~$3–$10 | 80–94% |
| 100M tokens | ~$500–$1,500 | ~$30–$100 | 80–94% |
| 1B tokens | ~$5,000–$15,000 | ~$300–$1,000 | 80–94% |
Based on publicly available API pricing and Nebius compute rates as of Q2 2026. Actual savings depend on workload patterns, model selection, and GPU utilisation. The assessment puts real numbers against your specific workloads.
What you get: a complete migration blueprint
Five deliverables, one working session, delivered within five working days. No obligation.
Current-spend benchmark
Where your tokens actually go, broken down by model, endpoint, and workload. No raw data leaves your environment.
Candidate model match
Which open-weight model (Llama, Qwen, DeepSeek, Mistral) maps to each of your workloads, with latency and quality considerations.
Post-training plan
Tuning strategy to match or exceed your current output quality on your own data, with evaluation benchmarks you can verify.
Costed migration roadmap
Phased rollout with cost and savings per phase, timeline estimates, and risk mitigations. You decide what moves and when.
Compliance & residency map
Where data lives at every stage, audit trail design, and documentation for your compliance and security teams.
The migration path: phased, de-risked, you control the pace
Migration does not need to be all-or-nothing. A phased approach de-risks the transition and proves the economics at every step before committing further.
Benchmark & model selection
We map your current spend and match candidate open-weight models to your real workloads.
Post-training on your data
Models are tuned, evaluated, and benchmarked against your current outputs on Nebius GPU clusters.
Parallel run
API and Nebius endpoints run side by side. Compare quality, latency, and cost on live traffic before committing.
Gradual cutover
Route traffic progressively, keep a hybrid fallback, and monitor. You're fully in control of the pace.
Backed by the infrastructure enterprises trust
$2B Investment
Nebius is backed by a $2 billion NVIDIA investment, running H100, H200, and Blackwell Ultra GPUs across EMEA regions.
Premier Partner
Zenvue is a Premier Nebius Partner, headquartered in the UAE with delivery teams across Europe and the Middle East.
Enterprise Delivery
Implementations across construction, financial services, healthcare, and technology in EMEA. 100% senior practitioner delivery.
Migration: common questions
- Will open-weight models match GPT-4 or Claude quality?
- For most production workloads, yes—especially once post-trained on your data. We benchmark candidate models against your current outputs before recommending any move. For the small set of tasks that need absolute frontier reasoning, a hybrid setup keeps a commercial model in the loop while serving routine traffic on Nebius.
- What about data residency and sovereignty?
- You control where data lives on Nebius infrastructure. EU and GCC residency options are available. No API logs. No third-party retention. No prompts used for model training. Open-weight models are fully auditable—you can inspect weights, run red-teaming exercises, and maintain your own compliance evidence.
- We don't have an infrastructure team.
- Zenvue handles deployment, monitoring, and managed inference on Nebius. You own the stack and the models; we operate the infrastructure. No platform team required. We deliver a production-ready endpoint with SLAs, monitoring, and a clean handover you fully own.
- Is this safe for regulated workloads?
- Yes. Open-weight means auditable weights, controlled inference, and your own access controls. We provide compliance documentation for GDPR, GCC data laws, and ISO 27001 alignment. Your inference stays inside infrastructure you control with enterprise SLAs.
- Do I need to migrate everything at once?
- No. The recommended path is phased: start with high-volume, low-risk workloads (internal tooling, document processing, classification), benchmark, then progressively migrate higher-stakes workloads. Many teams keep a hybrid setup permanently—routine traffic on Nebius, frontier tasks on a commercial API.
- How long does the migration assessment take?
- One working session with our team, with a written readout typically within five working days. It's fast enough to inform a near-term budget or board conversation, and there's no obligation.
Get Started
Ready to see what owning your models would cost?
One working session, a written readout within five working days, no obligation. Bring your current AI bill; leave with a costed migration roadmap you can act on.