GradientAI
Whether you’re training large models, running inference, or creating AI-driven applications, DigitalOcean has the infrastructure and platform to enable you to build, deploy, and scale with ease.
Power your AI workloads from development to production
Run model training, fine-tuning, and high-performance compute workloads.
Your needs:
- Virtualized environment for scalability and cost-efficiency.
Start with: GPU Droplets - Containerized environment requiring flexibility and resilience of Kubernetes to run and scale.
Start with: GPUs for DOKS - Single tenant and direct hardware access with high-touch engineering support to manage complex multi-node deployments.
Start with: Bare Metal
Hear from AI native enterprises who use GradientAI to power their tasks
Getting started with DigitalOcean's GradientAI Platform was incredibly easy. We really appreciated the intuitive design... setting up and deploying our first agent took just like a few minutes. This allowed us to quickly implement AI capabilities without requiring extensive setup processes or even specialized expertise from our side. And that was truly a game changer for us.
Benedikt Klinglmayr
Full Stack Developer, Autonoma
Training our next-generation text-to-video model with millions of video inputs on NVIDIA H100 GPUS on DigitalOcean took us just 3 days, enabling us to get a newer version of our model much faster than before.
Naeem Ahmed
Founder, Moonvalley AI
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 DigtialOcean 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
See how easy it is to spin up a GPU Droplet
Scale with simplicity leveraging DigitalOcean’s GradientAI 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.
Rent GPU Droplets for LLMs starting at $1.49/GPU/hour*
Experience affordable, high-performance AI infrastructure designed for developers and startups with DigitalOcean GPU Droplets.
*Based on multi-month contractual commitment.
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