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- Pricing
One integrated platform, silicon to agent, with economics that improve as you scale.
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From real-time agents to trillion-token workloads, leaders in AI run on DigitalOcean.
67%
lower cost
Workato runs 1T+ automation tasks on DigitalOcean's Inference Engine at 67% lower cost — with 67% higher throughput on the same workload.
2x
inference throughput
Character.ai handles 1B+ queries per day with 2× production inference throughput on DigitalOcean's AMD Instinct™ GPUs.
40%
reduction in latency
Hippocratic AI runs healthcare agents on DigitalOcean, powering 20M+ patient interactions with 40% lower end-to-end P99 latency and 2× higher throughput.
Five layers. One platform. Open at every layer.
From GPUs to agent runtimes, every layer purpose-built for production AI and integrated end-to-end. Most clouds only cover one or two layers, or fragment all five across 300+ disconnected services.
Performance, economics, and simplicity — together.
Performance proven in production
Sub-second Time-to-First-Token (TTFT). 3.9× higher output speed vs. AWS Bedrock. The most consistent latency across context lengths of any provider tested. Independently benchmarked by Artificial Analysis on DeepSeek V3.2.
Open models you already trust
DeepSeek, Llama, Qwen — plus frontier labs and your own fine-tunes — on one OpenAI-compatible endpoint. DigitalOcean Inference Router picks the right model per call, automatically. Your code doesn't change when a better model ships.
Built for how builders ship
One CLI. One API. One bill. Migrate in one line of code, and leave on the same terms. The complexity of stitching together multiple vendors — gone.
Economics that compound as you scale
DigitalOcean owns the silicon, the fabric, and the Inference Engine end-to-end. Every optimization below the line passes forward automatically. Performance and unit economics improve together.
Resources
Private Preview: DigitalOcean Managed Agents Runtime Services
Patching at Fleet Scale, Twice: How DigitalOcean Closed Januscape and the AMD Safe RET Issue Without Customer Impact
7 Baseten Alternatives for AI Model Deployment in 2026
Do You Need a Custom Embedding Model?
Cursor Origin vs. GitHub: The 2026 Code-Hosting Face-Off
7 Best AI Workloads for Spot GPU Instances in 2026
Quantization's Real Tradeoff: Where FP16, INT8, and GGUF Actually Diverge in Production by Model Size
We Classified 250,000 Records with DigitalOcean Batch Inference for $7.04
9 OpenRouter Alternatives for Multi-Model AI in 2026
Start building today
From GPU-powered inference and Kubernetes to managed databases and storage, get everything you need to build, scale, and deploy intelligent applications.
