# Vultr Startup Program vs OVHcloud Startup Program: startup credits compared Both of these programs court AI startups, and both will put around $100,000 of credit in front of you. Then you try to spend it on a GPU. On Vultr, that credit buys time on an H100. On OVHcloud, the eligible GPUs stop at the V100 and its close cousins, hardware that first shipped years earlier. Same-sized check, very different silicon. That one detail captures the wider split. **[Vultr's Startup Program](https://discover.vultr.com/startup-program) is the AI-hardware bet**, a US challenger whose credits spend on its newest GPUs and whose discount outlasts them. OVHcloud plays a longer, broader game. **[OVHcloud's Startup Program](https://startup.ovhcloud.com/en/) is the European veteran's offer**, a wider tier range on a sovereign platform, but with credits fenced off from bare metal and its latest GPUs. Both take no equity and both top out near €100,000, so the decision lives in the fine print, not the headline. This comparison lines up the credits, the restrictions, and the platforms so you can see which one your workload can actually spend. ## Quick comparison at a glance | Category | Vultr Startup Program | OVHcloud Startup Program | |----------|----------------------|--------------------------| | Credit ceiling | Up to $100,000 | Up to €100,000, about $110,000 | | Program shape | One negotiated credit | Two levels, Start and Scale | | Entry point | Requires Series A first | €10,000 at Start, pre-seed friendly | | Beyond the credit | Up to 35% long-term discount | Engineer hours, no standing discount | | Eligibility gate | Series A through E funding | Under 5 years, under 50 staff, under €10M revenue | | GPU credits | Modern, H100, A100, GH200, L40S | Older only, V100, V100S, RTX 5000 | | Bare metal on credits | Not carved out | Excluded from vouchers | | Data residency | US company, global regions | European, sovereignty-focused | | Footprint | 32 data centers, six continents | 46 data centers across four continents | | Engineer time | Account manager, architecture reviews | 6 hours at Start, up to 20 at Scale | | Equity taken | None | None | ## The GPU question: what your AI credit can actually buy Both programs wave at AI founders, so start where an AI founder feels the difference first, on the accelerator your free credit is allowed to touch. Vultr's credits spend across its full compute range, including a modern GPU lineup of H100, A100, GH200, and L40S, backed by an AMD-led investment in AI infrastructure. For a team doing real training or inference, that means the free money lands on current-generation hardware rather than a consolation tier. ![Vultr GPU Droplets and instance options](https://imagedelivery.net/xZXo0QFi-1_4Zimer-T0XQ/5b73ac5f-fd55-40a7-4faf-0fd6ce5d6d00/public =720x1000) OVHcloud is more complicated, and you have to read its documentation to see why. Vouchers are redeemable for Public Cloud and Hosted Private Cloud, and that does include its AI managed services and its European AI ambitions, including a Mistral AI partnership. But the eligible GPU instances are limited to older generations, the V100, V100S, and RTX 5000, not the H100-class hardware in its wider catalog. Bare metal, the product OVHcloud is most famous for, cannot be paid with credits at all. The credit is European and generous in size, but narrow about which chips it will fund. ![OVHcloud Startup Program eligible products and GPU instances](https://imagedelivery.net/xZXo0QFi-1_4Zimer-T0XQ/2037a8e2-2331-49f7-1547-2dbf0e291400/public =2330x1316) The gap is stark for a model-heavy startup. If your training runs assume current GPUs, Vultr's credit pays for them and OVHcloud's sends you to hardware a few generations back or to your own credit card. If your AI work leans on managed services rather than raw training, OVHcloud closes some of that distance, but the raw-compute gap is real. ## The credits and tiers The ceilings nearly match. What differs is how the money is shaped and when in your life it arrives. ### Vultr: one migration credit plus a discount Vultr offers up to $100,000 in credit, negotiated against the cloud invoices you bring, and pairs it with up to 35% in long-term discounts that persist after the credit is spent. It is a single, large, migration-oriented package, and the standing discount is the part that keeps paying once your monthly bill outgrows any one-time credit. ![Vultr Digital Startup Program benefits, credits, discount, and account management](https://imagedelivery.net/xZXo0QFi-1_4Zimer-T0XQ/3bab9a43-58a5-4f89-a218-7f3b29fa7b00/md1x =2808x1446) ### OVHcloud: two levels, Start and Scale OVHcloud splits its program into two 12-month levels. Start gives €10,000 in credit plus 6 hours of one-on-one engineer time, aimed at pre-seed and seed teams building an MVP. Scale offers selected Series A and later startups up to €100,000 plus up to 20 hours of engineer time. There is no standing discount after the credit, but the two-tier design means OVHcloud can help you years before you would qualify for anything Vultr offers. The practical read is about timing. Vultr hands a bigger single credit to a company that has already raised and has spend to move. OVHcloud meets you at €10,000 while you are still pre-revenue and grows with you to a comparable ceiling, without ever writing the durable discount Vultr does. | How the money works | Vultr Startup Program | OVHcloud Startup Program | |---------------------|----------------------|--------------------------| | Ceiling | Up to $100,000 | €100,000, about $110,000, at Scale | | Entry amount | Requires Series A first | €10,000 at Start | | Structure | One negotiated credit | Two tiers over 12 months each | | After the credit | Up to 35% ongoing discount | None | | Engineer time | Not counted in hours | 6 hours at Start, up to 20 at Scale | ## Who qualifies The eligibility rules explain the timing difference, because the two programs recruit at different points in a company's life. Vultr expects a recent Series A, B, C, D, or E round. The application is a sales conversation that asks for six months of cloud invoices and an executive contact, since the whole program is built around migrating an existing workload rather than launching one. A pre-seed founder is not the audience. OVHcloud runs a size test instead of a funding test: a tech-focused company under five years old, with fewer than 50 employees and revenue below €10M. Its Start level is aimed squarely at pre-seed and seed teams, while Scale serves Series A and beyond, and the program is global through regional entities, so amounts vary by market. The effect is that OVHcloud spans a much wider slice of the startup timeline, and Vultr concentrates on the funded end of it. ## The platforms: American challenger, European veteran Behind the credits sit two very different companies, and their histories show up in what you are actually running on. Vultr is the younger, faster mover. Founded in 2014 and backed by a $333 million AMD-led round, it runs 32 data centers across six continents, uses NVMe storage on its High Performance and VX1 tiers, and pushes a price-performance story, with its October 2025 VX1 line advertising up to 82% better performance per dollar than efficiency-optimized Arm hyperscaler plans, a figure that is Vultr's own. As a US company, it offers global reach but not European sovereignty. ![Vultr global data center map across six continents](https://imagedelivery.net/xZXo0QFi-1_4Zimer-T0XQ/bd67d16a-7d26-4e38-f518-20ddf6ec5900/lg2x =3012x1454) OVHcloud is the incumbent. A French company founded in 1999 and listed in Paris, it designs its own servers, runs its own fiber network, and water-cools its own facilities, and that vertical control underpins both its low prices and its sovereignty pitch. It now spans more than 40 data centers across four continents, serving 1.6 million customers in over 140 countries. For a startup that wants European data governance without giving up global reach, that independence is the draw, even if the platform feels rawer and less managed than a younger rival's. ![OVHcloud global data center footprint across four continents](https://imagedelivery.net/xZXo0QFi-1_4Zimer-T0XQ/c08caf60-a7eb-48f4-db73-56061b88ef00/md1x =1120x590) | Platform | Vultr | OVHcloud | |----------|-------|----------| | Founded | 2014 | 1999 | | Footprint | 32 data centers, six continents | 46 data centers, four continents | | Ownership model | AMD-backed, price-performance | Builds own servers, fiber, cooling | | Sovereignty | US company, global regions | European, sovereignty-focused | | Standout tier | VX1 cost-efficient compute | Vertically integrated bare metal | ## Support and engineer time Both programs are hands-on, but they hand you help in different currencies. Vultr provides a dedicated account manager, executive sponsorship, and architecture reviews from its engineers, all pointed at getting a funded migration across the line without a costly cutover. It is enterprise-style support for a company with a real system to move. OVHcloud counts its help in concrete hours: 6 one-on-one engineer hours at Start and up to 20 at Scale, plus a regional manager, architecture guidance, and access to market and funding events. For an early team that mostly needs someone to help it stand up cleanly, those hours are easy to value and easy to use. ## Final thoughts These two land in nearly the same spot on the banner, close to €100,000 and no equity taken, then part ways on the details that decide real projects. The cleanest way to choose is to follow your GPUs. **Vultr is the better bet for a funded AI team that needs current hardware**, because its credits spend on H100-class GPUs and its 35% discount keeps working after they run out, provided you have the Series A that gets you through the door. OVHcloud reaches a wider range of startups. **OVHcloud is the more accessible and more sovereign option**, open from pre-seed through its two tiers and hosted on a European platform, as long as you can live with credits that stop at older GPUs and never touch bare metal. So do not be lulled by the matching six-figure ceilings. If your roadmap runs on the newest GPUs, only one of these credits actually pays for them, and it is not the one with the bigger data center map.