The world of artificial intelligence is constantly evolving, with a shift towards dynamic, long-running agents. DigitalOcean, a leading cloud provider, is on a mission to make running AI in production as seamless as possible for developers. Today, at NVIDIA GTC 2026, DigitalOcean announced a major expansion of their inference capabilities in partnership with NVIDIA, unveiling the creation of an AI Factory designed to support AI builders and power the next generation of autonomous agents.
DigitalOcean has quickly become a go-to platform for agentic workflows, especially with the viral success of the open-source agent OpenClaw. Recognizing the market’s need for easy deployment, DigitalOcean launched a production-ready 1-Click Droplet for OpenClaw in just under 36 hours. This effort has resulted in over 43,000 total deployments on DigitalOcean, with more than 11,000 active OpenClaw deployments currently in production.
But DigitalOcean’s offerings go beyond just deployment. Builders can also take advantage of additional services like Backups, Snapshots, and Gradient AITM Serverless Inference to enhance their agentic workloads. Furthermore, DigitalOcean and NVIDIA are collaborating on NVIDIA NemoClaw, an open-source stack that simplifies running always-on assistants like OpenClaw in a secure environment and seamlessly deploying them to DigitalOcean.
So, what sets DigitalOcean apart in this rapidly growing market? The company is focused on integrating traditional cloud services with their cutting-edge Inference Hub and AI services to provide builders with a comprehensive solution all under one roof. With features like Managed Kubernetes, VPC, Cloud Firewalls, Load Balancers, and high-performance storage, DigitalOcean offers a streamlined path to scale without the complexity often found in traditional hyperscalers.
To support their AI Factory initiative, DigitalOcean is launching Richmond, their newest data center designed specifically for AI workloads. Equipped with state-of-the-art NVIDIA HGX B300 systems and a 400 Gbps non-blocking RDMA fabric, Richmond ensures high-throughput data movement for complex agentic workflows and massive-scale model deployments.
Through their partnership with NVIDIA, DigitalOcean is integrating advanced open models directly into the NVIDIA-native stack, allowing users to consume DigitalOcean’s serverless endpoints for models like GLM-5, Kimi-K2.5, and Minimax-M2.5 on build.nvidia.com. Running these models on DigitalOcean’s Serverless Inference with NVIDIA Blackwell GPUs has shown up to 4X better performance compared to other GPU options.
Additionally, customers utilizing NVIDIA Dynamo 1.0 with DigitalOcean Kubernetes are experiencing significant performance gains and up to 3x lower inference costs on Hopper GPUs. By streamlining the workflow from prototype to deployment, DigitalOcean is enabling AI and agent builders to focus on their applications without worrying about infrastructure.
In an exciting development, DigitalOcean is now offering NVIDIA’s Nemotron 3 Nano model on their platform. This model boasts elite efficiency for deep reasoning workflows, utilizing a sparse Mixture-of-Experts architecture to activate only 3.2B parameters per token. With a massive 1-million-token context window, the Nemotron 3 Nano enables advanced agentic reasoning for complex, long-horizon tasks.
To learn more about these innovations in AI and inference, join DigitalOcean at their Deploy event in San Francisco. Hear from industry innovators tackling real-world challenges with AI agents and shaping the future of the Agentic Era. Explore the capabilities of build.nvidia.com and DigitalOcean today to start building the next generation of AI applications.
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