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Hippocratic AI Scales to 10 Million Patient Calls at 99.9% Clinical Safety on DigitalOcean's AI-Native Cloud, powered by NVIDIA Blackwell Ultra GPUs

  • DigitalOcean & Hippocratic AI report Polaris system reached 10 million patient calls with a 99.9% clinical safety score running on NVIDIA HGX™ B300 GPUs via DigitalOcean's AI-Native Cloud.
  • The collaboration achieved a 2× prefill speedup & ~30% higher per-node throughput compared to prior stateless serving configurations.
  • Polaris maintains a 400-millisecond time-to-first-token at production scale using NVFP4 quantization & optimized inference runtimes.
  • Hippocratic AI processed over 180 million patient interactions across chronic disease management, medication adherence, care gap closure, & clinical scheduling.
  • The system achieved an average patient rating of 8.95 out of 10 based on human evaluations involving over 7,500 clinical staff.
  • DigitalOcean engineered its platform with hardware-aware scheduling & custom MoE kernels to support long-context, safety-critical healthcare workloads.
  • Hippocratic AI is among the first production customers to utilize NVIDIA HGX™ B300 GPUs for scaling concurrent sessions without compromising latency.
  • The deployment validates that purpose-built infrastructure is foundational to patient safety rather than just performance metrics.