Scaling a business is never linear. Growth brings new possibilities but also new pressures. The real test lies in staying agile while building strong technical foundations that let innovation flourish.

Across industries, ambitious teams are scaling faster and smarter with cloud infrastructures that adapt to them, not the other way around.

In this blog, two OVHcloud experts – Emma Dennard, Managing Director Corporate UK, the Netherlands, the Nordics & Canada; and Sylvie Houlière Mayca, Managing Director Corporate France Belux & MEA – share insights and examples of the scale-ups reshaping challenges into tangible success.

Whether you’re an AI innovator or digital pioneer, these are ways in which businesses can triumph when openness, scalability and transparency meet technical creativity.

Turning intelligence into impact

Emma Dennard

For many companies building AI, the biggest barrier isn’t imagination. It’s integration. Swedish scale-up Hopsworks knows that better than most. Born from a university research project, its platform helps developers speed up everything from image recognition to fraud detection and LLM training.

When Hopsworks first met OVHcloud, the team was frustrated by hyperscale tools that didn’t play well together and complex cloud pricing. What the company needed was freedom. Freedom to innovate fast, stay open and manage growth on their terms.

By joining the OVHcloud Startup Program, Hopsworks migrated its serverless offering to OVHcloud Public Cloud, using S3-compatible Object Storage and open-source frameworks to stay agile as AI evolves. The result? 62% savings on cloud costs, freeing capital for new strategic projects.

More than that, Hopsworks avoided the lock-in that can slow innovation. With OVHcloud’s predictable pricing, European Sovereignty and open standards, the company gained the flexibility to keep adapting.

Read more about how Hopsworks scales AI innovation without compromise.

Raising the AI game

Emma Dennard

Before the world was talking about generative AI, Leetify was already using machine learning to help gamers improve. Its AI coaching platform analyzes player performance in Counter-Strike: Global Offensive, giving instant feedback after each match.

That requires serious bandwidth. In 2022, Leetify was processing over two million matches every month, moving around 70TB of data in real time. Any lag, outage or DDoS attack could mean lost players. And lost trust.

By combining OVHcloud Dedicated Servers with Public Cloud, Leetify gained both reliability and flexibility: 99.99% uptime, unlimited unmetered traffic and the ability to scale instantly during peak tournaments.

This resulted in around 50% lower costs and uninterrupted performance for players worldwide. For a fast-moving team pioneering AI in gaming, that kind of stability means savings, but it also means freedom to innovate, experiment and win.

See more on how Leetify stays competitive with OVHcloud reliability.

Reinventing reliability

Sylvie Houlière Mayca

In an age of disruption, few names say trust quite like Ravensburger. The German company has been sparking creativity for over a century through games, books and puzzles that millions of families know by heart. But even tradition had to transform.

As Ravensburger’s global business grew, so did its digital footprint. The brand’s go-to-market strategy combines physical retail with a thriving e-commerce platform. Both have to perform seamlessly, all the time.

At peak moments like Christmas, or lockdowns introduced during the COVID-19 pandemic, traffic to the online store could surge overnight. The company’s on-premises infrastructure simply couldn’t keep up. The challenge was clear, deliver the same premium experience for every customer, at any hour, without interruption.

Ravensburger migrated its online business to OVHcloud Hosted Private Cloud (HPC), gaining an infrastructure built for elasticity, high availability and international reach. With compute, storage and networking resources tuned for performance, demand spikes are handled automatically.

Now, with its e-commerce foundations secured, Ravensburger’s next chapter is all about intelligence. This means using AI to better understand customer profiles and match products to children and families worldwide.

Learn more about how Ravensburger combines resilience and growth with OVHcloud.

Cultivating sustainable growth

Sylvie Houlière Mayca

Agriculture may not always be the first industry associated with AI, yet Colombian scale-up Manglar is showing how technology can meaningfully enhance and support this vital sector. Focused on agrotech innovation, the company uses drone imagery and machine learning to monitor crops, detect issues early and improve yield sustainably.

When Manglar first partnered with OVHcloud, the team needed a way to balance rapid growth with predictable costs and performance. What began as a search for efficient storage evolved into a full-scale infrastructure collaboration. By integrating OVHcloud GPU instances for training and inference, and storage servers for data processing, Manglar now runs high-performance image analysis that delivers real-time insights to farmers across Colombia, Mexico and Brazil. But the company isn’t stopping there, with plans to expand to the US and Argentina next.

For a business working at the intersection of technology and the environment, reliability and governance are everything. OVHcloud’s transparent pricing, open architecture and dedicated local support have helped Manglar optimize resources, maintain investor confidence and grow responsibly – both technically and financially. 

Behind the success is a team of builders who blend data science with purpose. These engineers have fine-tuned inference models to deliver faster, more accurate predictions, while leadership focuses on scaling impact on economic and environmental levels. It’s a model for how innovation can help drive sustainability, not strain it. 

Next steps for Manglar include the full migration of its ML and inference workloads to OVHcloud, requiring H100 or H200 GPU availability. This will allow for more efficient scaling while improving processing speed. Part of the OVHcloud difference is the ability to turn infrastructure into a growth engine while keeping governance and impact front of mind.

Scale smarter – 6 inspiring use cases

1. Rebuilding for agility

Webmecanik transformed its monolithic infrastructure into a distributed platform to better support growing demand. By adopting OVHcloud’s Kubernetes solution, the company gained scalability, enhanced performance and improved reliability. Webmecanik’s commitment to customer-centric automation means it delivers marketing solutions that can adapt to client needs dynamically.

Discover how Webmecanik scaled up for success, here.

2. Mastering momentum

Programmatic advertising requires speed, precision and reliability. Nexx360 leveraged OVHcloud’s Kubernetes infrastructure to scale its advertising platform globally, maintaining high performance even during spikes in ad delivery. The team’s innovative use of automation in campaign optimisation makes them stand out as builders transforming digital marketing operations.

Learn how Nexx360 stays flexible and cost-efficient in the cloud, here.

3. Enhancing user experience

CUX.io, a platform for UX automation, required tailored hosting to manage unique workloads and deliver consistent user experiences. OVHcloud provided customised cloud solutions that ensured stability and performance. CUX.io’s dedication to measuring every interaction to optimize UX demonstrates the creative thinking behind technical scaling.

See how CUX.io optimized user experience across multiple platforms, here.

4. Setting new boundaries

Floatplane’s hybrid cloud approach combines bare-metal servers with Managed Kubernetes, enabling rapid scaling while maintaining low latency for its video streaming service. What differentiates Floatplane is its focus on community-driven content delivery, ensuring that both creators and viewers benefit from a seamless experience, even as the platform grows.

Learn how Floatplane keeps viewers engaged, here.

5. Leading with clarity

Lota.cloud aims to become a leader in FinOps and opted for OVHcloud’s managed services to streamline operations while ensuring regulatory compliance. By embracing scalable cloud solutions, Lota.cloud can support complex financial processes without sacrificing speed or flexibility. The company’s dedication to transparent, data-driven decision-making highlights the careful planning to builders navigating high-stakes sectors.

Learn how Lota.cloud scaled its logistics platform effortlessly, here.

6. Growing responsibly

As a leading provider of healthcare analytics, IAMDS relies on OVHcloud to manage sensitive patient data securely while scaling services across multiple regions. By combining secure infrastructure with flexible cloud solutions, IAMDS ensures compliance with strict regulations while enabling real-time analytics that drive better patient outcomes.

Find out how IAMDS delivers secure, scalable digital solutions, here.

Driving growth and impact with confidence

Companies thrive when their infrastructure is flexible, reliable, transparent and cost-predictable. Whether powering AI platforms, enabling global e-commerce, or supporting high-performance gaming, OVHcloud equips teams to focus on what matters most: innovation, growth and tangible results.

The right cloud partner provides the technology you need. That much is clear. But it also lays the foundation for strategic decision-making, international expansion and long-term success. With robust infrastructure, open standards and responsive support, companies can scale with confidence and absorb peak demand while builders invest energy into advancing their vision rather than managing technical hurdles.

Explore how OVHcloud can help your business scale with confidence here.

Over the past few years, the speed at which teams can build infrastructure has changed dramatically. Models that once took weeks to train can now be iterated in days. Tooling has improved, workflows have matured, and the overall friction in getting from idea to working output has reduced significantly.

But this acceleration often stops the moment teams try to deploy — and this can make AI deployment frustrating. In this blog, you will learn how Facets can help teams accelerate migration to OVHcloud by making deployment more structured, repeatable and predictable.

What first begins as a fast, iterative process slows down when it enters the infrastructure layer. The work is no longer about models or code. It shifts to provisioning environments, configuring pipelines, managing permissions, setting up networking, and ensuring that everything works reliably outside a controlled development setting. This phase is not inherently complex, but it is fragmented, and that introduces delay.

As a result, there is now a visible gap between how quickly teams can build and how slowly they can move to production. The model may be ready in hours, but the surrounding system required to run it still takes days, weeks, or in some cases even months, to put together.

AI deployment is slow because infrastructure is inconsistent, not because AI is limited

It is tempting to assume that deployment delays are still a technical limitation but, in most cases, that is no longer true. The bottleneck is not the model itself. It is everything around it.

Infrastructure is rarely standardised across teams. Each project tends to define its own setup, its own pipeline, and its own configuration. Even when teams use the same tools, the way those tools are applied differs just enough to create inconsistency.

Over time, these differences accumulate. Environments are recreated, pipelines are reconfigured, dependencies are re-evaluated, and access is managed manually. What should be a repeatable process becomes a fresh effort every time.

This is where deployment slows down. Not because teams cannot build quickly, but because the systems around deployment are not structured for reuse.

Faster deployment starts with reusable infrastructure

Teams that deploy faster do not necessarily rely on fundamentally different tools. They change how infrastructure is organised.

Instead of treating infrastructure as something that needs to be set up for every project, they define it once and reuse it. Environments are created from standard definitions rather than being handcrafted. Deployment workflows follow consistent patterns instead of being recreated each time. Access, policies and guardrails are built into the system rather than handled separately.

This does not eliminate complexity, but it contains it. Systems become easier to understand, easier to operate and easier to extend. Most importantly, they become predictable.

Once infrastructure behaves predictably, deployment stops being a recurring source of delay.

AI improves operations only when infrastructure is already structured as a system

There is growing interest in applying AI to DevOps and infrastructure management, but its role is often misunderstood.

AI does not fix fragmented systems. If the underlying setup is inconsistent, AI will only automate that inconsistency. It may reduce effort in specific tasks, but it does not create structure on its own.

AI becomes valuable when it operates on top of a well-defined system. It can help teams understand system state, identify issues faster, assist with debugging, and reduce manual operational work. But it works best when the infrastructure beneath it is already standardised, reusable and consistent.

Infrastructure needs to shift from project-level setup to a standardised system

As AI accelerates development, the limitations of infrastructure become more pronounced. Teams are able to build faster than they can deploy, and that imbalance introduces friction.

This is not a temporary phase. As development continues to speed up, deployment will remain the limiting factor unless the underlying structure changes.

A different approach is needed. Instead of treating infrastructure as a series of isolated setups, teams need systems that standardise how infrastructure is created, managed and reused.

Facets turns infrastructure into a reusable deployment system

Facets is designed around this model. It brings infrastructure, CI/CD, environments, workflows and guardrails into a single operating system for deployment. It brings infrastructure, CI/CD, environments, workflows and guardrails into a single operating system for deployment. Teams can create environments on demand, follow predefined deployment workflows and retain operational context within the platform instead of relying on scattered documentation or individual knowledge.

This changes how teams interact with infrastructure. The focus shifts from repeatedly setting things up to using a system that is already structured to work.

Choosing the right cloud matters once infrastructure is standardised

Once infrastructure is structured as a system, the choice of where to run it becomes more important.

For AI workloads, teams need reliable compute, predictable cost structures and control over how environments are configured. OVHcloud provides a strong foundation for this, with access to GPU infrastructure, cost predictability, and flexibility in how environments are managed.

However, infrastructure alone does not remove friction. The real advantage comes when teams can move to that infrastructure quickly and operate it consistently without rebuilding their setup.

OVHcloud + Facets: Accelerating Deployment Through Standardisation

OVHcloud provides reliable, on-demand infrastructure for modern workloads. Facets helps teams make that infrastructure deployment-ready.

Together, they address both sides of the problem. OVHcloud provides the cloud foundation, while Facets defines how environments, workflows, policies and guardrails are created and operated on top of it.

Facets.cloud introduces reusable infrastructure blueprints that can be applied across projects. These blueprints define environments, workflows and operational guardrails in advance, allowing teams to deploy standardised systems instead of assembling infrastructure manually each time.

This shifts deployment from a configuration-heavy process to a repeatable, system-driven approach. Teams can reduce the time spent on setup, avoid recreating the same deployment patterns and move workloads onto OVHcloud with greater consistency.

The result is a faster path from migration planning to production-ready environments — helping teams migrate in days, not weeks.

AI speed is ultimately limited by how fast infrastructure can be deployed and operated

AI has already compressed the time it takes to build. The next bottleneck is AI deployment.

And that bottleneck is not solved by adding more tools or more people—it is solved by changing how infrastructure is structured. Because in practice, the speed of AI is defined not by how quickly models are built, but by how quickly they can be deployed and run.

Discover Facets.cloud

For IT leaders, the important question is not whether blockchain is “the next big thing.” 

The question is actually much simpler: where and how does this technology solve real problems better than conventional architectures?

To answer that, let’s begin with the fundamentals.

What blockchain really is, and how it works

A blockchain is a distributed database made up of blocks of data linked together in chronological order. Each new block contains information about transactions or events, along with a cryptographic reference to the previous block. This creates an auditable chain of records that is extremely difficult to alter retrospectively.

Unlike a traditional database, which is generally administered by one organisation, a blockchain is maintained collectively by participants in the network. Copies of the ledger are distributed across multiple systems, helping to ensure synchronisation, resilience and transparency.

When a transaction is submitted to a blockchain network, it is checked according to the rules of that network. Once validated, it is added to a block and propagated across the network so that participants agree on the updated state of the ledger. This agreement process is known as consensus.

The result is a system designed to support tamper-resistant, highly available and traceable record-keeping.

Public, private, permissioned and permissionless blockchains

Not all blockchains work in the same way. For business leaders, one of the most important distinctions is the difference between public and private networks, and between permissioned and permissionless models.

Public blockchains are open networks. In general, anyone can access them, and they are often designed for broad transparency and participation. These networks are especially relevant where openness, interoperability and shared trust are important.

Private blockchains are restricted to a specific organisation or group of participants. They are usually designed for tightly controlled business processes, where governance, confidentiality or performance requirements call for more control.

A second distinction concerns permissions.

In a permissionless blockchain, participants can typically join the network and interact with it without prior approval, provided they follow the network’s technical rules.

In a permissioned blockchain, roles and actions are controlled more tightly. Specific participants may be allowed to read, write, validate or administer the network based on predefined permissions.

These models are not interchangeable. The right choice depends on the use case, the governance model, the sensitivity of the data, and the degree of openness required.

How infrastructure factors in

Blockchain discussions often focus on tokens, protocols or applications. But for IT decision-makers, infrastructure is just as important.

A blockchain environment depends on reliable underlying systems to ensure performance and trust. Three requirements stand out in particular: security, speed and uptime.

1. Security

Security is indispensably foundational. Blockchain networks are designed to preserve data integrity, but they still need to be protected at the infrastructure and operational levels.

This includes safeguarding validator or node environments, protecting sensitive data during processing, enforcing strict identity and access controls, and defending services against network attacks such as DDoS events. In some blockchain contexts, security solutions must also be tailored carefully so that legitimate high-volume traffic is not mistaken for malicious traffic.

2. Speed and low latency

Many blockchain applications are highly sensitive to latency. Validation, data propagation and user-facing responsiveness all depend on fast, stable connectivity.

This is especially relevant for environments such as decentralised finance, exchanges, validator operations, RPC services and analytics pipelines, where milliseconds can affect performance and user experience. The network layer matters a great deal: bandwidth, routing quality, geographic distribution and private interconnection can all influence outcomes.

3. High availability and resilience

Blockchain systems are expected to operate continuously. Downtime can mean missed transactions, degraded service, failed validations or loss of trust.

That makes blockchain’s resiliency critical. Distributed hosting, strong service-level commitments, redundancy, and multi-regional design can all play an important role in keeping blockchain workloads available and synchronised.

For IT leaders evaluating providers or architectures, blockchain should therefore be treated as both an application question and an infrastructure question.

Blockchain goes beyond cryptocurrency

Perhaps the biggest misconception for blockchain is that it begins, and ends, with crypto.

Cryptocurrency is just one application of blockchain, and it is far from the only one. The technology can also support a wide range of business and public-sector use cases where transparency, traceability, automation or shared trust are needed.

Examples include:

• Digital identity and access models, where blockchain can help verify claims or credentials while preserving control and traceability
• Supply chain tracking, where organisations need reliable visibility into provenance, handling and transfers across multiple parties
• Smart contracts, which can automate actions when predefined conditions are met
• Decentralised applications, where services run on distributed infrastructure rather than a single central backend
• Enterprise recordkeeping, where multiple stakeholders need a shared, verifiable source of truth

The key point is that blockchain is valuable beyond the fact that it is decentralised. It is valuable when decentralisation, immutability and shared verification solve a real business or operational challenge together.

A practical view for IT leaders

For IT leaders, blockchain should be approached with the same discipline as any other architecture decision.

And that means asking:

• What trust problem are we solving?
• Do we need a shared ledger across multiple parties?
• What governance model fits the use case?
• What are the performance, security and compliance requirements?
• Which infrastructure will support this reliably at scale?

In some cases, a conventional database will still be the right answer. In others, blockchain offers a stronger foundation for transparency, resilience and distributed trust.

The important thing is to move beyond the hype. Used in the right context, blockchain is a practical architectural model with applications that extend well beyond cryptocurrency.

As adoption grows, IT leaders who understand both the technology and its infrastructure requirements will be those best placed to identify where it can deliver meaningful business value.

This article is based on the guide “The Blockchain Blueprint”, available to download for free.

Since autumn 2025, the global memory market has been going through a major disruption. Although barely noticeable to end users, these developments are radically changing the cost of computer hardware and, as a direct result, the cost of the cloud.

This article will decipher this structural crisis, its real-life impacts, and the strategic choices that OVHcloud is implementing to mitigate its effects.

An industrial shift towards GPUs

Globally, the three major memory manufacturers have redirected a significant portion of their production capacity to meet the massive demand for GPUs, particularly for AI-related and high-bandwidth computing applications.

This reallocation took place without a corresponding reduction in the historical demand for RAM and storage, generating pressure on several market segments simultaneously.

The consequences of this were immediate and noticeable:

• pressure on supply, with reduced stock and extended lead times
• continuous rise in RAM and disk prices since September 2025
• long-term market instability, which is not expected to find a new balance until late 2026

A sustained inflation of memory components

Even after the market stabilises, prices are not expected to return to their historical levels before 2028, the amount of time needed for new production capacities to become truly operational.

This development profoundly disrupts the economic fundamentals of computer hardware, both for on-premises infrastructures and for the cloud. Depending on configurations, the prices related to RAM and storage could increase by 15% to 300% compared to 2025 prices, depending on the volumes of memory and disk capacity deployed.

This change of scale is both abrupt and unprecedented, with no recent equivalent in the global market.

A market under pressure, even with higher prices

Paradoxically, the rise in prices is not enough to secure the availability of components. Currently, to guarantee the delivery of their desired volume of RAM or disks, cloud providers need to order up to 12 months in advance, without being told the final price at the time of purchase.

In practice, prices are only communicated one to two months after delivery, depending on the changes in supply and demand during the quarter in question. This uncertainty places unprecedented pressure on industry players and cloud providers, simultaneously affecting production and distribution.

Towards a new global balance of demand

This situation will inevitably have repercussions on the volumes ordered. Some customers will find the prices too high and limit their investments, while others, lacking alternatives, will continue to place orders regardless.

This interplay of opposing forces should lead to a new global balance, but at a significantly higher price point. Current projections anticipate a 250% to 300% increase in the price of RAM by the end of 2026, compared to September 2025.

Our strategy to soften the blow

In light of this reality, OVHcloud has chosen not to automatically pass on the entire price increase of components to its customers.

For the cloud deployed between 2026 and 2028 (including Public Cloud, Private Cloud, and Bare Metal), the average price increase will be limited – between 9% and 11% – despite significantly higher RAM and disk costs.

To offset this gap, a moderate increase of 2% to 6% is planned for solutions deployed before 2025, depending on the age of the equipment, as well as a change in IPv4 pricing. The latter should not have a significant impact on our customers’ budgets, as the cost of IP addresses is a small share compared to other resources in a cloud project.

Our objective is clear: to maintain pricing consistency across the entire range from 2021 to 2028, and to prepare for a gradual return to normal in 2029.

Continuous investments and developing solutions

Beyond pricing adjustments, this period will be characterised by sustained investments in our solutions and in the customer experience.

Despite the strong pressure from rising component costs, we are continuing to develop our services to provide more value to our customers.

In practical terms, this will result in:

• a gradual strengthening of support mechanisms
• an increase in resources included in certain ranges
• a modernization of our computing and storage infrastructures

These initiatives demonstrate our commitment to not reduce this period to merely a consequence of cost increases, but to maintain a dynamic of improving our services, even in a constrained economic context.

Time frame and implementation procedures

Our clients have already received emails detailing the precise impacts on their services. The new prices will come into effect on 1 April 2026.

Until that date, it is possible to renew services at the current rates for a duration of up to 2 years. In all cases, the new prices will only apply at the end of the current contractual period.

A time of uncertainty and a strategic advantage

We are going through an exceptionally unpredictable period, where market visibility rarely lasts longer than one to two weeks. There remains hope that prices will stabilize on a long-term basis from 2026, so that we can avoid further unfavorable announcements.
In this tense context, having a global supply chain and two internal production facilities is a major strategic advantage. This allows us to continue receiving components and producing servers, while the memory shortage affects a large part of the market.

Our Prices

You will find below our new pricing:
– Public Cloud: Prices below are displayed on an hourly basis and with Linux OS. Please, find on our Prices web page our monthly-consumed virtual machine instances (b2, c2, r2) and Savings Plan options (b3, c3, r3) as well as prices with Windows licences.
– All our VPS, Floating IPs, and Additional IP pricing.
– Bare Metal: The displayed prices correspond to a 1-month commitment; additional discounts apply for 12- or 24-month prepayments. The prices for options are for new orders only. The renewal of options, which has been communicated by email to our customers, will be limited to +10% for disk options and +15% for RAM options.

For existing subscriptions renewed before April 1st, you can secure your current pricing for the full duration of the commitment you choose, effective from your renewal date.

Please note that the following product categories are not affected by our pricing evolution:
– Public Cloud – Compute : Cloud GPUs and Metal Instances
– Public Cloud – Container : Managed Kubernetes, Managed Registries & Managed Rancher
– Public Cloud – Network : Load Balancer, Gateway. Public and Private network traffic remains included.
– Public Cloud – Storage : Object Storage, Block Storage.
– Public Cloud – Analytics : Data Platform
– Public Cloud – AI & Machine Learning : AI Solutions (AI Notebook, AI Training, AI Deploy) and AI Endpoints
– Public Cloud – Quantum : Emulators & QPUs
– Bare Metal : Kimsufi et SoYouStart ranges
– Bare Metal : All storage (Veeam Enterprise plus, HYCU, Back-up Agent, NAS-HA, Cloud Disk Array)
– Private Cloud : All VMware offers, all storage offers (Veeam Enterprise plus, HYCU, Back-up Agent)

Un basculement industriel vers les GPU

À l’échelle mondiale, les trois grands fabricants de mémoire ont réorienté une part importante de leurs capacités de production pour répondre à la demande massive en GPU, en particulier pour les usages liés à l’IA et au calcul haute performance.

Cette réallocation s’est effectuée sans réduction équivalente de la demande historique en mémoire vive et en stockage, générant une pression simultanée sur plusieurs segments du marché.

Les conséquences sont immédiates et visibles :

• tension sur l’offre, avec des stocks réduits et des délais d’approvisionnement allongés ;
• hausse continue des prix de la RAM et des disques depuis septembre 2025 ;
• instabilité durable du marché, qui ne devrait retrouver un nouvel équilibre qu’à l’horizon fin 2026.

Une inflation durable des composants mémoire

Même après la stabilisation du marché, les prix ne devraient pas retrouver leurs niveaux historiques avant 2028, le temps nécessaire pour que de nouvelles capacités de production soient réellement opérationnelles.

Cette évolution bouleverse profondément les fondamentaux économiques du matériel informatique, tant pour les infrastructures on-premise que pour le cloud. Selon les configurations, l’impact tarifaire lié à la RAM et au stockage pourrait atteindre +15 % à +300 % par rapport aux prix de 2025, en fonction des volumes de mémoire et de capacité disque déployés.

Ce changement d’échelle est à la fois brutal et inédit, sans équivalent récent sur le marché mondial.

Un marché sous tension même à prix élevé

Paradoxalement, la hausse des prix ne suffit pas à sécuriser la disponibilité des composants. Aujourd’hui, pour garantir la livraison de volumes de RAM ou de disques, il est nécessaire pour les fournisseurs de cloud de passer commande jusqu’à 12 mois à l’avance, sans connaître le prix final au moment de l’achat.

En pratique, les tarifs ne sont communiqués qu’un à deux mois après la livraison, selon l’évolution de l’offre et de la demande sur le trimestre concerné. Cette incertitude exerce une pression inédite sur les acteurs industriels et les fournisseurs de cloud, affectant simultanément la production et la distribution.

Vers un nouvel équilibre mondial de la demande

Cette situation aura inévitablement des répercussions sur les volumes commandés. Certains clients jugeront les prix trop élevés et limiteront leurs investissements, tandis que d’autres, faute d’alternative, continueront à passer commande malgré tout.

Ce jeu de forces opposées devrait conduire à un nouvel équilibre mondial, mais à un niveau de prix nettement supérieur. Les projections actuelles anticipent une augmentation de la RAM de +250 % à +300 % à la fin 2026, par rapport à septembre 2025.

Notre stratégie pour amortir le choc

Face à cette réalité, OVHcloud a choisi de ne pas répercuter automatiquement l’intégralité de la hausse des composants sur ses clients.

Pour le cloud déployé entre 2026 et 2028 — incluant le Public Cloud, le Private Cloud et le Bare Metal — l’augmentation moyenne des prix sera limitée, entre +9 % et +11 %, malgré des coûts de RAM et de disques nettement plus élevés.

Pour compenser cet écart, un ajustement modéré est prévu sur les offres déployées avant 2025, de +2 % à +6 %, en fonction de l’ancienneté du matériel, ainsi qu’une évolution des tarifs des IPv4. Cette dernière ne devrait pas avoir d’impact significatif sur le budget de nos clients, le coût des adresses IP représentant une part limitée par rapport aux autres ressources d’un projet cloud.

Notre objectif est clair : préserver une cohérence tarifaire sur l’ensemble des gammes 2021-2028 et préparer un retour progressif à la normale en 2029.

Investissements continus et évolution des offres

Au-delà des ajustements tarifaires, cette période se caractérise par des investissements soutenus dans nos offres et dans l’expérience client.

Malgré la forte pression liée à l’augmentation des coûts des composants, nous continuons à faire évoluer nos services afin d’apporter davantage de valeur à nos clients.

Concrètement, cela se traduit par :

• un renforcement progressif des dispositifs de support ;
• une augmentation des ressources incluses dans certaines gammes ;
• une modernisation de nos infrastructures de calcul et de stockage.

Ces initiatives témoignent de notre volonté de ne pas réduire cette phase à une simple répercussion des hausses de coûts, mais de maintenir une dynamique d’amélioration de nos services, même dans un contexte économique contraint.

Calendrier et modalités d’application

Nos clients ont déjà reçu des emails détaillant les impacts précis sur leurs services. Les nouveaux tarifs seront appliqués à compter du 1^er avril 2026.

Jusqu’à cette date, il est possible de renouveler les services aux tarifs actuels pour une durée pouvant aller jusqu’à 2 ans. Dans tous les cas, les nouveaux prix ne s’appliqueront qu’à l’issue de la période d’engagement en cours.

Une période d’incertitude et un avantage stratégique

Nous traversons une phase exceptionnellement imprévisible, où la visibilité sur les marchés dépasse rarement une à deux semaines. L’espoir demeure que les prix se stabilisent durablement dès 2026, afin d’éviter de nouvelles annonces défavorables.

Dans ce contexte tendu, disposer d’une chaîne d’approvisionnement mondiale et de deux usines de production internes constitue un avantage stratégique majeur. Cela nous permet de continuer à recevoir des composants et à produire des serveurs, là où la pénurie de mémoire touche une grande partie du marché.

Nos tarifs

Vous trouverez ci-dessous nos nouveaux tarifs :
– Public Cloud : les prix ci-dessous sont affichés à l’heure et avec OS Linux. Vous trouverez sur notre page Tarifs les prix des instances de machines virtuelle consommées au mois (b2, c2, r2) ou en Savings Plan (b3, c3, r3) ainsi que les tarifs avec licences Windows.
– Tous nos tarifs VPS, Floating IPs & IP additionnelles.
– Bare Metal : les prix affichés correspondent à un engagement d’un mois ; des remises supplémentaires sont appliquées en cas de prépaiement sur 12 ou 24 mois. Les prix des options sont ceux des nouvelles commandes uniquement. Le renouvellement d’options qui a été communiqué par email à nos clients sera quant à lui limité à +10% sur les options de disques, +15% sur les options de RAM.

Pour toutes les souscriptions existantes renouvelées avant le 1er avril, vous pouvez conserver votre tarif actuel pendant toute la durée d’engagement choisie, à compter de votre date de renouvellement.

Veuillez noter que les catégories de produits suivantes ne sont pas concernées par l’évolution de nos tarifs :
– Public Cloud – Compute : Cloud GPUs et Metal Instances
– Public Cloud – Container : Managed Kubernetes, Managed Registries & Managed Rancher
– Public Cloud – Network : Load Balancer, Gateway. Le trafic réseau Public et Privé reste inclus.
– Public Cloud – Storage : Object Storage, Block Storage.
– Public Cloud – Analytics : Data Platform
– Public Cloud – AI & Machine Learning : AI Solutions (AI Notebook, AI Training, AI Deploy) et AI Endpoints
– Public Cloud – Quantum : Emulators & QPUs
– Bare Metal – stockage : Veeam Enterprise Plus, HYCU, Back-up Agent, NAS-HA, Cloud Disk Array
– Bare Metal : Gammes Kimsufi et SoYouStart
– Private Cloud : offres VMware et offres de stockage (Veeam Enterprise plus, HYCU, Back-up Agent)