DigitalOcean

Disrupting an industry takes more than plugging into the latest model. 💯 We sat down with technical founders building AI-native products across search, legal, content generation, and data analysis to hear what they’ve learned scaling with real users, complex workflows, and business pressure. A few core takeaways: • AI isn't fully independent. • Reliability becomes a moat. • Model choice becomes a business decision. • Execution is your edge. • Customer signal matters more than ever.

DigitalOcean is coming to #NYTechWeek with two events you won't want to miss. 🌊🗽 On June 2nd, we're co-hosting "AI After Tomorrow" with Techstars & Zendesk, a candid conversation on how AI is changing the way companies invest, build, & serve customers. Then on June 4th, stick around for our AI Builders Mixer with Techstars: no pitches, no decks, just founders & devs connecting over food & drinks. Register for both in the events in the comments. ⬇️

Anthropic Claude Opus 4.8 is now available through DigitalOcean Serverless Inference. 🤖🆕 Built for advanced coding, enterprise workflows, & long-running agentic tasks, Opus 4.8 runs inside your DigitalOcean environment alongside your applications & data, with predictable usage-based billing & no extra vendors or model ops.

DigitalOcean Inference Router is now integrated with OpenCode, one of the most popular AI coding harnesses on GitHub. 🤝 Instead of sending every request to the same expensive model, Inference Router dynamically picks the right model for the task. Lightweight work is done quickly & cost-effectively, while complex reasoning is routed to the model built for it. 🔀

In healthcare AI, a dropped node isn't just an SLA issue. It's a clinical interruption. 🩺 Hippocratic AI is scaling chronic disease management, medication adherence, and care gap closure on the DigitalOcean AI-Native Cloud, powered by NVIDIA HGX™ B300. We engineered our Inference Engine for exactly this bar, working in close collaboration with #NVIDIA and informed by real-world requirements of customers like Hippocratic AI. The results: Hippocratic AI achieved a 99.9% clinical safety score, 2x prefill speedup, and ~30% higher per-node throughput. That’s what purpose-built inference delivers. 🌊

Managing high-volume AI workloads through real-time inference means rate limits, retries, & expensive synchronous compute that don’t scale economically. There's a simpler way. 👀 Unified Batch Inference on DigitalOcean lets you run large-scale inference asynchronously through a single API, with integrated Spaces storage, a live job queue, & unified provider access. Process millions of requests overnight at up to half the cost of real-time inference. Your production traffic never competes with batch workloads. 🚫🚙🚗

ACE Studio’s AI music workstation is built for real-time creativity. Lag isn’t an option, for the product or its users. 🎶 They needed high-performance inference without the complexity of traditional hyperscalers. DigitalOcean transformed their workflow with GPU Droplets powered by AMD Instinct™ MI325X GPUs: ⚡ 80% reduction in latency: 2500ms => 500ms ⏳ 2x faster training cycles: 2 weeks => under 1 week 💰 Better price-to-performance vs. legacy cloud providers

We had a great time at Founders You Should Know connecting with developers & founders building the future & sharing how DigitalOcean supports builders ready to scale at every stage through our Startup Program. 🤝 10 companies took the stage across AI infrastructure, developer tools, autonomous agents, & hardware engineering & the energy could be felt throughout San Francisco. 🌁

Our CEO Paddy Srinivasan joins Jon Fortt to share the momentum we’re seeing with AI-Native companies, production inference, and agentic workloads. Together they break down how insatiable inference demand is showing up in our business. 🎙️✨