DigitalOcean and NVIDIA partner to build a production-ready, open-source AI infrastructure stack designed to scale secure, always-on agentic systems.

High-performance, production-ready agentic AI cannot survive on proprietary, locked-in cloud models alone; the next phase of agent deployment demands open-source stacks that allow full control over tracing, execution safety, and token economics.

* Model Flexibility and Continuity: Open models like NVIDIA's Nemotron family provide developers with enterprise-grade alternatives that are treated like software libraries and receive long-term support.

* Traceability and Security: As multi-agent and sub-agent workflows scale, developers require trace-based observability and sandboxed environments (like NemoClaw) to move beyond black-box output and debug agent code in production.

* Tokenomics Shift: Optimizing scaling cost requires moving from raw token counts to evaluating workflow outcomes, supported by context compression techniques (like SAMs) and hybrid-state-space transformer architectures (like hybrid Mamba/SSMs).

* Direct Ecosystem Enablement: Rather than building closed orchestration harnesses, DigitalOcean and NVIDIA are providing open-harness infrastructure (such as NemoClaw and Dynamo 1.0) to give developer teams deployment choice and investment protection.