DigitalOcean Launches AI-Native Cloud for Production AI
The platform targets soaring inference costs by consolidating models, data, agents, and compute into one stack.
Overview
- DigitalOcean unveiled the five-layer AI-Native Cloud Tuesday at Deploy 2026, positioning it as a production platform built around real-time inference for agent-style apps.
- A new Inference Router in public preview steers each request by cost, speed, quality, and data-residency rules instead of fixed model choices.
- Teams can bring their own models and run serverless, dedicated, or batch inference through an OpenAI-compatible API, with batch jobs priced for up to 50% savings over 24-hour windows.
- An expanded catalog lists more than 70 open and closed models, including NVIDIA Nemotron 3 Nano Omni first on DigitalOcean, and the rollout adds Knowledge Bases, Managed Weaviate, and Advanced PostgreSQL/MySQL.
- DigitalOcean says it operates owned NVIDIA and AMD GPUs across 20 global data centers on a 400G RDMA fabric, and early customers report lower costs and faster throughput, with broader adoption and independent benchmarks still to come.