Large-scale AI adoption generates unpredictable cloud spending: on-demand GPU instances, production inference costs, massive storage for training and fine-tuning data.
Without a FinOps strategy tailored to AI workloads, budgets spiral quickly. Move2Cloud combines cloud expertise and AI infrastructure experience to help you optimise every euro spent.

GPU instances (p3, p4, g5 on AWS; NC, ND on Azure) cost up to 10x more than standard instances. Training and fine-tuning can generate thousands of euros in a matter of hours.
Real-time inference endpoints run 24/7. Without rightsizing and auto-scaling, inference costs often exceed training costs over time.
Training datasets, model checkpoints and MLflow logs accumulate rapidly in S3 or Azure Blob. Without adapted lifecycle policies, storage becomes a major cost driver.
Data science and MLOps teams don't always have a FinOps culture. Resources are under-utilised, forgotten experiments keep running, and budget alerts arrive too late.
Our services cover the full lifecycle of your AI workloads, from initial audit to sustainable governance.
Each service integrates with your cloud stack — OVHcloud, Scaleway, AWS, Azure or GCP — and your FinOps maturity level.
Our experts combine cloud expertise and MLOps architecture knowledge to deliver immediately actionable recommendations.
FinOps Move2Cloud brings together the costs of your OVHcloud, Scalingo, AWS and Azure accounts: month-to-date spend, end-of-month forecast, budgets with email alerts and savings recommendations with their amount.
Describe what you need: AI drafts a dashboard that you review and adjust. Access to your cloud accounts is read-only and your credentials are encrypted.
€0free
To discover the tool on one cloud account.
€49excl. VAT / month
For startups and SMEs, and their small team.
€199excl. VAT / month
then €15 excl. VAT per member beyond 10
For multi-cloud organisations and their teams.
Prices exclude VAT. 14-day trial of the Pro plan, with no bank card or IBAN required.
Our consultants master both FinOps cloud practices and MLOps architectures, for concrete and immediately actionable recommendations.
We define clear KPIs from the outset and deliver optimisation reports with realised savings and corrective actions.
We start with a quick audit (2 weeks) to identify quick wins, then deploy a long-term strategy without disrupting your teams.