Deploy San Francisco
The Production Inference Era
The Production Inference Era
Production Inference
Production inference is a different discipline with different challenges than training. It demands predictable economics, transparent performance, and operational simplicity. Without an inference-first stack, teams pay the price in budget, shipping velocity, and user experience.
At Deploy 2026, "it works in a demo" becomes "it works in production."
Register now
The Production Inference Era
The Production Inference Era
DigitalOcean is addressing the fundamentals that legacy clouds obscure. We believe that for production inference to have the environment it needs to flourish, infrastructure, orchestration, and cost-of-inference must work as a single, transparent system.
At Deploy, you'll see what DigitalOcean brings to you as the inference cloud:
- Predictable costs: Design for sustained throughput without the "success tax."
- Vertical integration: Optimize the model, the GPU Droplet, and the networking stack as one.
- Operational sanity: Stop "stitching together" stacks. Move to a one-stop inference shop designed for high-traffic.
Deploy 2026:
Deploy is focused on the real-world work of production AI. Every session is grounded in systems running today with real traffic, real cost constraints, and real operational tradeoffs.
What we'll cover:
- Inference-first architectures: how teams design for sustained throughput, predictable latency, and reliability under load
- Predictable inference economics: how to control cost per request and avoid budget surprises as usage scales
- From prototype to production: real deployment patterns using GPU Droplets, Model Studio, and dedicated inference services
- Operational simplicity at scale: how to reduce infrastructure complexity without giving up control
- Affordable inference in practice: how production systems observe, respond, and improve across the full lifecycle, from deployment to optimization
- Why inference clouds are the present and the future: running inference in production often requires stitching together complex stacks, but that ends with DigitalOcean's all-in-one-place inference cloud
Secure your seat in San Francisco
March 31, 2026 • 12:00pm – 8:00pm PT
📍 Convene 100 Stockton
Join the technical leaders and executives who are leaving hyperscaler complexity behind to build the next generation of AI-native companies.
FAQ
When and where is Deploy?
Deploy 2026 will be hosted in person at Convene 100 Stockton, 40 O'Farrell St, San Francisco. The mainstage keynote will also be streamed live to registrants.
Who should attend Deploy?
Deploy is designed for teams responsible for managing or building AI workloads in production at scale.
Is there a cost to register to attend Deploy?
No. Deploy is free to attend. See you in San Francisco.
Is there a code of conduct for Deploy?
Yes. Deploy follows the DigitalOcean Community Code of Conduct.