AI Inference Engine | Serverless, Batch & Dedicated Inference | DigitalOcean

Featured AI Products
Build, deploy, and scale cloud compute resources
Containers and Images
Safely store and manage containers and backups
Fully managed resources running popular database engines
Management and Dev Tools
Control infrastructure and gather insights
Secure and control traffic to apps
Help protect your account and resources with these security features
Store and access any amount of data reliably in the cloud
Security and Networking
Web and App Platforms
The Inference Engine for production AI: every model, every modality, on one platform, with the DigitalOcean Inference Router to optimize every call.
Models evolve quickly, and the one you chose months ago is rarely the best option today. Without intelligent routing, staying current means repeated migrations, rewrites, and vendor churn.
Inference costs don’t just grow with tokens. Requests pass through multiple vendors, each adding markup on compute and orchestration, and every hop between services incurs egress. Teams end up overpaying for simple workloads or building complex routing systems just to stay efficient.
When inference runs across fragmented services, observability becomes an afterthought. Teams lose end-to-end visibility into latency by model, cost per request, and error rates, and can’t optimize what they can’t measure.
A unified control plane for AI inference. Define routing policies, evaluate model performance, and run experiments to continuously optimize how models behave in production.
Replace fragmented tooling with a single system for policy definition, output validation, and model testing.
Control plane for intelligence
The Inference Router is the control plane for production AI systems, unifying how models are selected and optimized across every inference call. It replaces manual routing logic with policy-driven control that adapts in real time.
Teams define routing behavior with simple policies in natural language or structured rules, enabling intent-based control over cost and latency, without hardcoding models.
Evaluate your entire inference stack
DigitalOcean Evaluations enables structured LLM-as-a-Judge testing across catalog models, BYOM models, and inference routing policies, with unified visibility into quality and performance in a single run.
Test, compare, and move faster from idea to production
For rapid experimentation and comparison across all model types.
The Model Playground lets teams test text, image, audio, and video models side by side and export production-ready API code directly from their configuration.
The runtime for AI inference. Execute real-time, batch, and dedicated workloads through a single system that abstracts infrastructure complexity.
For production APIs, agents, and applications that require real-time responses.
Asynchronous AI at scale
For large-scale workloads that do not require real-time latency.
Controlled model hosting
For sustained workloads requiring infrastructure-level control and performance guarantees.
Modern AI applications are not text-only. The Inference Engine natively supports:
Vision-language understanding
All through a single API key. No separate vendors. No fragmented billing. No additional infrastructure.
Weekly open-source refreshes, one-line model switching, and Day 0 access to select frontier releases keep production teams moving without migrations.
Delivers 3.9x throughput vs. AWS Bedrock, $0.65/M serverless tokens, and $6/hr dedicated inference.
Track token usage, TTFT, latency, errors, spend, and batch lifecycle without external tooling. Ranked #1 on Artificial Analysis for performance efficiency across leading inference providers.
One security model, one billing system, and one infrastructure layer from GPU to API.
Run your inference workloads alongside your existing infrastructure with no stitched-together vendors, fragmented billing, or hidden complexity.