DigitalOcean today announced the launch of its Inference Engine, a set of new production capabilities that give AI builders exceptional performance and unified control over how they run, scale, and optimize inference workloads. The Inference Engine is built around four core capabilities: Inference Router, Batch Inference, Serverless Inference, and Dedicated Inference, giving development teams a single engine to match every workload type to the right performance and cost profile.
Inference Router powered by purpose-built MoE (Mixture of Expert) router model.
LawVo reduced inference costs by more than 40% using Inference Router.
Hippocratic AI achieved 2x production throughput and 40% lower P99 latency across 20M+ patient interactions.
Workato achieved 77% faster time-to-first-token, 79% lower latency, and 67% lower inference costs.
DigitalOcean serves more than 640,000 customers.
Independent testing shows 3x faster time-to-first-answer-token and 3x higher output speed than Amazon Bedrock.
Inference Router is designed to solve one of the biggest inefficiencies in agentic AI: sending every request to the most expensive model. With Inference Router, AI builders can define a model pool, describe tasks and priorities in natural language mapped to that model, and optimize each request for cost and latency. Powered by DigitalOcean's purpose-built MoE (Mixture of Expert) router model, Inference Router matches each request to the right model, helping teams improve performance and unit economics without building routing infrastructure themselves.
Dedicated Inference delivers predictable performance and exceptional unit economics for teams running high-scale, sustained workloads, with reserved capacity that eliminates the variability of shared infrastructure. Serverless Inference provides a single API key to access dozens of models, with scale-to-zero elasticity and the industry's first off-peak pricing. Batch Inference reduces the cost of offline AI workloads by 50% through asynchronous execution, built-in retries, and a guaranteed 24-hour completion window.
According to Artificial Analysis, DigitalOcean demonstrated 3x faster time-to-first-answer-token and 3x higher output speed than Amazon Bedrock on DeepSeek V3.2 at 10,000 input tokens. DigitalOcean is one of only three providers ranked in the Most Favorable Quadrant on Artificial Analysis's Latency vs. Output Speed chart. Early design partners running real production workloads reported significant gains. Hippocratic AI achieved 2x production throughput and 40% lower P99 latency across more than 20 million patient interactions. Workato's Research Lab, which processes over 1 trillion automated workloads, achieved 77% faster time-to-first-token, 79% lower end-to-end latency, and 67% lower inference costs on DigitalOcean.
As Vinay Kumar, CPTO of DigitalOcean, stated: "Most teams building agentic systems today make a single model decision and apply it uniformly across their agentic workflows. They default to a frontier model and pay the generalization tax: premium prices and higher latency for work that often does not require the most expensive closed source model. Inference Router is the essential AI middleware that removes that tax by intelligently matching requests to the right model based on task, context, and developer-defined preferences."
Hovsep Seraydarian, Co-Founder and CTO of LawVo, added: "DigitalOcean's Inference Router gives us the kind of intelligent model selection we would otherwise have had to build ourselves. It routes each request to the right model based on complexity, helping us reduce inference costs by more than 40% while maintaining the accuracy, speed, and reliability our users expect."
Debajyoti Datta, Co-Founder of Hippocratic AI, said: "In healthcare AI, a node going down isn't just an SLA issue, it impacts patient experience. We've pressed DigitalOcean hard on reliability, access to the newest hardware, and the ability to scale efficiently. They've delivered."
Oscar Wu, AI Research Scientist, Technical Lead at Workato, added: "Through close collaboration on performance optimization, DigitalOcean helped us accelerate our inference performance and overall progress by two to three times."
About DigitalOcean
DigitalOcean is the Agentic Inference Cloud built for AI-native and digital-native enterprises scaling production workloads. The platform combines production-ready GPU infrastructure with a full-stack cloud — all built on open source at every layer — to deliver operational simplicity and predictable economics at scale. More than 640,000 customers trust DigitalOcean to power their cloud and AI infrastructure.
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