In order to scale AI applications, developers often end up spending more time wrangling infrastructure, scaling for unpredictable traffic, or juggling multiple model providers than actually building. Don’t even get us started on fragmented billing.
Serverless inference, now available on the DigitalOcean GenAI Platform, removes all of that complexity. It gives you a fast, low-friction way to integrate powerful models from providers like OpenAI, Anthropic, and Meta, without provisioning infrastructure or managing multiple keys and accounts.
Serverless inference is one of the simplest ways to integrate AI models into your application. No infrastructure, no setup, no hassle. Whether you’re building a recommendation engine, chatbot, or another AI-powered feature, you get direct access to powerful models through a single API. It’s built for simplicity and scalability: nothing to provision, no clusters to manage, and automatic scaling to handle unpredictable workloads. You stay focused on building, while we handle the rest.
With the newest feature, you get:
Unified simple model access with one API key
Fixed endpoints for reliable integration
Centralized usage monitoring and billing
Support for unpredictable workloads without pre-provisioning
Usage-based pricing with no idle infrastructure costs
It’s a low-friction, cost-efficient way to embed AI features into your product, ideal for teams who want full control over the experience and integration.
Serverless inference is now available on DigitalOcean GenAI Platform, in public preview. It’s the fastest, simplest way to integrate powerful AI models into your applications, with full control, zero infrastructure, and predictable pricing.
👉 Join us for a live webinar on June 17 to see serverless inference in action, get your questions answered in real time, chat with the engineers who built it, and learn what’s coming next on the GenAI roadmap.
Register now →