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GPU Droplets are in General Availability. Spin up an NVIDIA H100 today

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THE SIMPLEST CLOUD THAT SCALES WITH YOU.

Powerful and production-ready, our cloud platform has the solutions that devs
like you need to succeed—whether you're building world-changing AI apps, running
a side project, or building a business.


THE SIMPLEST CLOUD THAT SCALES WITH YOU.

Powerful and production-ready, our cloud platform has the solutions that devs
like you need to succeed—whether you're building world-changing AI apps, running
a side project, or building a business.

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NOW AVAILABLE: GPU DROPLETS

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on-demand starting at $2,99/GPU/hour. Experience affordable, high-performance AI
infrastructure designed for developers and startups.

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BENEFITS TO ACTIVATE THE BUILDER IN YOU

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> DigitalOcean's blend of intentional simplicity, affordability and flexibility
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> high growth startups, and more generally ISVs and SMEs (small and medium
> enterprises) seeking a robust platform alternative from the hyperscalers. It's
> a business ready cloud - making it easy for growing companies to attain
> momentum and scale sustainably.

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Research Vice President, IDC


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> Creating a first-of-its-kind video platform as a startup is a near impossible
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> architecture to launch by pairing us with strategic partners who are
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Denny Darmo,

Founder and CEO, Snipitz

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> The cost of running ScraperAPI would be 250% more on AWS, as compared to
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Zoltan Bettenbuk,

CTO, ScraperAPI

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> The high availability control plane is a great addition, as it means we can be
> even more confident in the availability of hardware provided by you. We've
> never had an availability issue from DigitalOcean.

Stephen Lazarionok,

Co-Founder, CTO, Zingbrain AI

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> We soon found out that the service we received from DigitalOcean was the best
> in terms of stability of the Droplets and the bandwidth, and all of the
> network that comes out of the data centers. It's very stable. This is the key
> point, and that stability has helped us to increase our volume as well.

Read the case study

> We chose DigitalOcean Kubernetes because we like simplicity. In the beginning,
> we had a small team and didn't have the resources to manage a Kubernetes
> cluster. We wanted to spend time developing the product instead of managing
> infrastructure.

Read the case study

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