Built to power AI innovators

Managed Agents

Production agents that run on the same stack as your data, inference, and infrastructure. No cross-vendor hops. No lost context. No egress fees between layers.

Inference Engine

Over 70+ models, open-weighted and frontier, on one endpoint. Run serverless, dedicated, or batch inference, with the Inference Router optimizing every call.

Infrastructure

We own the silicon. Your unit economics improve as you scale. That includes 20 data centers across 11 regions, air- and liquid-cooled infrastructure, and NVIDIA H100/H200/Blackwell, AMD MI300X–MI350X, and 400G RoCE fabric.

Pay per token. No GPU contracts. No minimums.

Forecasting your inference cost should look like forecasting your AWS bill. Batch at ~50% of real-time. Off-peak dynamic pricing on Mini Max M2.5 and Kimi K2.5 today, expanding.

$1M+ customer ARR up 179% YoY in Q1 2026.

>80% of AI customer ARR now from inference + core cloud, not bare metal.

Scale-to-zero on Serverless. Reserved capacity on Dedicated when you graduate.

PREDICTABLE AI ECONOMICS

If it can’t take real traffic, it doesn’t count.

Independently ranked, custom-kernel optimized, 55+ models behind one API. VPC, zero data retention, platform guardrails, and built-in observability ship as defaults — not enterprise add-ons.

#1 by Artificial Analysis on output speed for DeepSeek V3.2 and Qwen 3.5 397B.

230 tok/sec on DeepSeek V3.2 — 3.9× faster than AWS Bedrock.

180M+ patient interactions — Hippocratic AI clinical calls/day at 400ms in production.

PRODUCTION-GRADE BY DEFAULT

Bring your model. Keep your stack open.

Open-weight out of the box: DeepSeek, Qwen, Llama, Mixtral, Phi, gpt-oss. LoRA on Serverless lands Q2; full BYOM on Dedicated today. No proprietary lock-in.

Five integrated layers: compute, network, storage, data, AI — open at every one.

Messages API for Claude Code-compatible agentic workflows.

Drop-in OpenAI and Anthropic schemas. Migrate behind a feature flag, not a rewrite.

OPEN AT EVERY LAYER

Image, video, speech, vision-language. Same API, same bill.

Stable Diffusion 3.5 for image. Wan 2.2 for video. Qwen3 TTS for speech. Nemotron and Kimi for vision-language. Plus the lifecycle around them routing, evals, observability — that wrappers don’t have.

Among inference-only competitors, only Together ships full image/video/audio. Fireworks has no video. Baseten, Groq, DeepInfra have no multimodal.

Platform content guardrails on image and video by default — not opt-in.

Native multimodal generation, not a stitched chain of vendor APIs.

EVERY MODALITY, ONE PLATFORM

Companies like Character.ai run AI at scale with consistent performance, cost-efficient scaling, and simplified operations on DigitalOcean. By combining AMD Instinct GPUs, managed Kubernetes, and platform-level optimizations, we delivered up to 2x higher throughput and lower cost-per-token compared to generic GPU setups.

Learn more about Character.ai on DigitalOcean →

Trusted for production-scale AI inference

Workato’s AI Lab runs AI at scale with consistent performance, cost-efficient scaling, and simplified operations on DigitalOcean. Leveraging DigitalOcean GPU Droplets, and managed Kubernetes, Workato achieves 67% higher throughput, 77% faster time-to-first-token, and 67% lower inference costs.

Learn more about Workato on DigitalOcean ->

Efficient AI at any scale