DigitalOcean's 'Deploy 26 San Francisco: The Production Inference Era' event banner, featuring a stylized Golden Gate Bridge at dusk with city lights.

DigitalOcean Deploy
April 28, 2026 | 12:00pm – 8:00pm PT

Convene 100 Stockton

The hardest problem in AI is no longer training models. It's running inference in production, latency, throughput, system reliability, and unit economics, all at once.

Deploy is where you'll learn how leading AI-native companies like Character.ai and Workato solve this, through real architectures, real tradeoffs, and live systems running today.

Here's what's on the agenda:

Optimizing AI unit economics
How leading teams optimize inference performance and cost in production — including intelligent routing, benchmarking, and cost-per-token optimization to protect unit economics at scale.

Building a production-ready AI stack
AI belongs in your stack, not in a silo. Learn how teams are integrating security, data infrastructure, vector databases, and observability into unified production systems for AI workloads.

Shipping AI features at speed
Don't let infrastructure stall your roadmap. See how teams integrate and ship production-ready AI features into existing applications using smart defaults, streamlined workflows, and scalable architecture patterns.

Inference systems deep dive
A technical deep-dive into modern inference architecture, from serverless to dedicated GPUs, containerized services, and intelligent routing systems that power high-performance production AI.

Across sessions and hands-on demos, you'll learn how teams are designing inference systems that scale without breaking performance or their margin structure.

Attend in-person

Watch the livestream