Gradient AI by DigitalOcean

Gradient AI is DigitalOcean's inference-optimized cloud platform built specifically for deploying and scaling AI agent applications in production. The platform combines specialized compute resources, managed software, and a full-stack cloud architecture designed to deliver superior throughput while reducing cost per token—critical metrics for running complex agentic workloads at scale. The platform prioritizes operational simplicity and reliability, enabling teams to deploy AI applications without extensive specialized knowledge or complex setup procedures. Its intuitive interface abstracts away infrastructure complexity, allowing developers to focus on building and optimizing their AI agents rather than managing underlying systems. This approach ensures predictable performance and sustainable economics across production workloads. For organizations requiring greater control, Gradient AI offers self-hosted inference capabilities with direct GPU access, flexible deployment options, and complete visibility into performance metrics and costs. This hybrid approach accommodates both managed cloud convenience and on-premises customization, enabling enterprises to meet regulatory requirements or specific operational constraints while maintaining cost efficiency. The platform has proven effective for companies managing demanding inference scenarios, from reducing troubleshooting overhead to ensuring 100% reliability and serving global demand. By combining inference-optimized hardware with managed services, Gradient AI enables teams to maintain stable performance and control costs as their AI applications grow.