DigitalOcean Agentic Inference Cloud
Run AI applications reliably in production with predictable performance, sustainable economics, and radically simple operations. Inference-optimized compute, managed software, and a full-stack cloud built for scale to make it all possible.
Hear from companies running AI at scale
DigitalOcean Gradient™ AI Platform reduced time to troubleshoot issues, saving Autonoma dev time and costs, and enabling a better customer experience.
“DigitalOcean's Gradient AI Inference Platform is intuitively designed and truly a game changer. Setting up and deploying our first agent took just like a few minutes. We could quickly implement AI capabilities without requiring extensive setup processes or even specialized expertise from our side.”
— Benedikt Klinglmayr, Full Stack Developer, Autonoma
GPU Droplets, Serverless Inference, and DO Kubernetes led to nearly 100% reliability for Traversal's product, building invaluable trust with customers.
“Having everything under one umbrella (through the Gradient AI platform and DigitalOcean's infrastructure) has been really helpful for us. When you're building fast, you don't want to juggle multiple providers or spend time wiring systems together. With DigitalOcean, it all just works.”
— Prashanthi Ramachandran, Technical AI Staff, Traversal
DigitalOcean Droplets, Gradient™️ AI GPUs, and Storage provide cost-efficient power and stability for fal, enabling their generative AI platform to meet worldwide demand.
“Simplicity and unit cost were very attractive in the beginning—that maybe opened the doors. But once we proved that everything was reliable and easy to use, we moved a lot more capacity to DigitalOcean.”
— Gorkem Yurtseven, Cofounder and CTO, fal
Power your AI workloads from development to production
Production inference
Run AI applications reliably at scale so you can meet user demand without costly hiccups.
Your needs:
- Self-hosted inference for control and customization, giving you direct GPU access, flexible deployment, and full oversight of performance and costs.
Start with: GPU Droplets - Access AI model endpoints from top providers and open-source models (OpenAI, Anthropic, Mistral, Meta) without managing multiple accounts, keys, or invoices.
Start with: Platform
Trusted for production-scale AI inference
Companies like Character.ai run AI at scale with consistent performance, cost-efficient scaling, and simplified operations on DigitalOcean.
DigitalOcean powers production AI applications for companies with millions of users. 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. Customers like Character.ai rely on DigitalOcean to run demanding models such as Qwen3-235B in production, achieving consistent latency, high concurrency, and scalable performance—all without increasing operational burden.
Built to power AI innovators
AI-native Workato runs AI at scale with consistent performance, cost-efficient scaling, and simplified operations on DigitalOcean.
DigitalOcean powers production AI applications that demand reliability and performance. Leveraging DigitalOcean GPU Droplets, and managed Kubernetes, Workato can efficiently run and better serve their growing AI workloads. Customers like Workato rely on DigitalOcean's GPU uptime and stability to continually run workloads that will change as new capabilities in AI agents develop.
DigitalOcean AI Ecosystem
Power Your AI Projects with Leading Technologies
Build, run, and experiment with AI on DigitalOcean
DigitalOcean's Agentic Inference Cloud powers production AI applications, and our tutorials show you how to deploy, optimize, and scale models and agents efficiently, from popular open-source frameworks to custom workflows.
Scale with simplicity leveraging DigitalOcean's Agentic Inference Cloud tools
When building robust machine learning infrastructure for AI app development, choosing the right GPU solution is crucial. DigitalOcean's range of products, from GPU virtual machines (VMs) to bare metal servers to specialized generative AI platforms, each offering unique advantages, built with DigitalOcean's signature simplicity in mind.
GPU Droplets provide flexibility and scalability, ideal for AI developers who need on-demand GPU compute, while Bare Metal cloud servers offer flexible configuration, making them a top choice for intensive workloads such as large-scale ML training.
Looking to get started with AI app development?
DigitalOcean provides AI developers with a large library of tutorials on a range of topics—from articles on Jupyter Notebook setup, to getting started with Llama, and using the LLM CLI to deploy the GPT-4o model.
Frequently asked questions for Gradient AI
What is DigitalOcean Gradient AI Agentic Inference Cloud?
What are GPU Droplets and Bare Metal servers?
GPU Droplets are virtual machines that provide on-demand GPU compute for AI tasks. Bare Metal servers offer direct hardware access for more intensive, multi-node workloads, like large-scale model training.
Can I use pre-trained models on DigitalOcean?
Yes, the platform features one-click models, which allow you to get started with popular models quickly.
How does DigitalOcean make AI infrastructure affordable?
How can I store my large datasets for AI training?
How do I choose between a CPU and GPU for my AI workload?
Choosing between a CPU and a GPU depends on your specific workload. CPUs are excellent for tasks like data preprocessing, feature engineering, and inference for smaller models. GPUs are purpose-built for parallel processing, making them ideal for computationally intensive tasks like training deep learning models. Many AI Native Businesses use both, with GPUs for training and CPUs for serving predictions.
AI Resources
Choosing the Right DigitalOcean Offering for Your AI/ML Workload
Choosing the Right GPU Droplet for Your AI/ML Workload
Run BAGEL VLM on a DigitalOcean GPU Droplet
How to run Deepseek R1 LLMs on GPU Droplets
Devstral: An Open-Source Agentic LLM for Software Engineering
uv: The Fastest Python Package Manager