DigitalOcean Serverless Inference is a fully managed, API-first AI inference platform offering 30+ foundation models (text, code, vision, image, video, speech) through a single OpenAI-compatible API key and pay-per-token pricing. The post covers the full request pipeline (Cloudflare → Load Balancer → Traefik → Intelligent Inference API → Model Executor Service → Ray+vLLM or provider API → Kafka), key features including prompt caching, reasoning traces, built-in tools (knowledge base retrieval, MCP, web search), and an Inference Router for automatic multi-model task matching. The Model Executor Service normalizes provider-specific quirks so all models return identically structured responses. Pricing examples are provided alongside observability metrics available in the control panel.

29m read timeFrom digitalocean.com
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The Problem: Inference Gets Hard at ScaleWhat Serverless Inference IsArchitecture: How Requests FlowGetting Started: From Zero to InferencePrompt CachingReasoningMultimodal InferenceBuilt-in ToolsInference RouterProduction OperationsEconomicsSecurity and Data PrivacyWhat We LearnedWhat’s NextGet Started
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