DigitalOcean attracts AI startups with faster training, lower costs

DigitalOcean Holdings Inc. (NYSE: DOCN) announced that several AI startups are using its cloud platform for production workloads, citing improved performance and cost savings compared to larger cloud providers.

The company highlighted three customer case studies. ACE Studio, an AI music platform, reduced training cycle times by 50% and latency by 40% using AMD Instinct GPUs on DigitalOcean's platform. Probably AI, an analytics platform, set up its API infrastructure in one and a half days and reports saving 25% on hardware costs compared to Amazon Web Services. Specra.AI, which serves federal contracting workflows, calculates it saves up to 15% on inference costs compared to other cloud providers.

"DigitalOcean is an attractive option because we get the best of both worlds," said Peter Elias, founder of Probably AI. "You're going to get affordability—when you factor in disk, network metering on AWS, we save at least 25% for the same hardware configuration without having to reserve capacity."

DigitalOcean's platform includes GPU infrastructure, managed Kubernetes, storage services, and model serving tools. The company offers access to NVIDIA Blackwell Ultra GPUs and AMD Instinct GPUs, along with models from providers including Anthropic, OpenAI, and NVIDIA.

Harris Weeks, CTO of Specra.AI, noted the platform's reliability for development workflows. "The fact that on a per-PR basis we could spin up an entire version of all of our infrastructure and it worked every single time was a testament to the quality of DigitalOcean," he said.

The company positions its offering as providing transparent pricing compared to larger cloud providers. DigitalOcean serves more than 640,000 customers and will host a conference on AI infrastructure on April 28 in San Francisco.

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