DigitalOcean's AI Cloud Supports Hippocratic AI in Achieving 10 Million Patient Calls
DigitalOcean announced that Hippocratic AI's Polaris system has reached 10 million patient calls at a 99.9% clinical safety score, running on NVIDIA HGX B300 GPUs on DigitalOcean's AI-Native Cloud, a five-layer, integrated stack purpose built for production AI. This milestone is the result of DigitalOcean engineering its inference platform for the latency, reliability, and concurrency demands of safety-critical healthcare workloads, delivering 2 x prefill speedup and ~30% higher per-node throughput, developed in close collaboration with both NVIDIA and Hippocratic AI. The results demonstrate why an increasing number of production AI workloads are choosing DigitalOcean's AI-Native Cloud as the purpose-built home for inference at scale. Hippocratic AI's Polaris system has reported a 99.9% clinical safety score and an average patient rating of 8.95 out of 10 across more than 10 million real patient calls, supported by human evaluation involving more than 7,500 clinical staff. With more than 180 million patient interactions to date across chronic disease management, medication adherence, care gap closure, and clinical scheduling, Hippocratic AI is operating at a scale where the line between infrastructure performance and patient safety disappears.
